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AI Research & Workflow
Automation with Perplexity
AI Research & Workflow Automation with Perplexity is a hands-on course designed to teach professionals, entrepreneurs, and content creators how to leverage Perplexity AI for streamlined research, data gathering, and task automation.
4 Modules Course Series
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Beginner Level
Beginner friendly: no background knowledge required.
Module 1
Understanding AI Platforms
Understanding AI Platforms
Over 2359 learners have joined - start whenever you're ready
Welcome to the ‘AI Platform Masterclass’! In this lesson, we will delve into the fascinating world of AI platforms. AI platforms are tools that provide the necessary infrastructure and services for building, deploying, and managing AI models. Understanding these platforms is crucial for anyone looking to harness the power of artificial intelligence in their projects.
AI platforms come in various forms, from cloud-based platforms like Google Cloud AI Platform and Amazon SageMaker to open-source platforms like TensorFlow and PyTorch. These platforms offer a range of features such as data preprocessing, model training, and deployment capabilities. By leveraging AI platforms, users can streamline the development process and focus on creating innovative AI solutions.
Regardless of which AI chatbot you use, you can get different results for different reasons. You’re now looking at chat GPT, whose interface hasn’t changed much since the beginning, but due to the additional models, it now produces upgraded and different content. Also available is Claude AI. Now, Claude AI has traditionally been used for writing tasks. However, it has now upgraded its model and also provides upgraded content. Lesser known but just as powerful is perplexity AI, which individuals use for research but can also be used as a chatbot.
You may also use Google Gemini. Gemini has special features both in the chatbot and outside of specialty projects such as notebook LM. And finally, another source is now meta AI, whose model does not yet rely on a pricing model but whose core is open source. Here’s a video course that will compare different ways each chatbot reacts to similar prompts, which could be used to help you to accomplish different purposes.
If you’d like to find out more about that course, check out the link you see on your screen.
In conclusion, mastering AI platforms is essential for anyone looking to succeed in the field of artificial intelligence. These platforms provide the necessary tools and resources to bring AI projects to life efficiently and effectively. By understanding how AI platforms work and how to leverage their capabilities, individuals can unlock the full potential of AI technology.
- AI platforms provide infrastructure and services for building, deploying, and managing AI models
- AI platforms come in various forms, including cloud-based and open-source options
- Mastering AI platforms is essential for success in the field of artificial intelligence
ChatGTP - Using Canvas to Edit
Understanding AI Platforms
The video provides a practical walkthrough of editing and refining AI-generated content using ChatGPT’s built-in editor, specifically highlighting the new Canvas feature.
The host demonstrates how users can make real-time adjustments-such as shortening text, modifying the reading level, adding emojis, and applying a final polish-without needing to craft new prompts or leave the editing interface. This streamlined process is designed to make content editing more accessible and efficient for users at all levels.
Chat GPT Output of Edits
ChatGPT - Special Mention
This video lesson highlights two powerful features in ChatGPT: audio interaction and the use of custom GPTs to extend functionality. The instructor demonstrates how users can interact with ChatGPT content using audio, both on mobile devices and desktop, and introduces the concept of GPTs-customizable AI assistants that can perform specialized tasks, such as creating mind maps or enhancing productivity.
ChatGPT now supports audio interaction, allowing users to listen to AI responses and even engage in real-time, conversational exchanges-especially on mobile devices. On the ChatGPT mobile app (iOS and Android), users can tap the “Read Aloud” button to have any response narrated to them. This feature is designed for convenience, making it easy to consume information hands-free while multitasking or on the move. The mobile experience is conversational, letting users speak directly to ChatGPT and receive spoken responses in return. On desktop, the “Read Aloud” feature is also rolling out, enabling users to click a button at the bottom of each conversation to hear the AI’s answer read aloud.
ChatGPT - Special Mention
Chat GPT Output of Edits
ChatGPT Canvas introduces a dynamic and interactive approach to editing and refining AI-generated content, making it especially valuable for writers, editors, and teams seeking a collaborative environment. This video lesson explores how users can leverage Canvas’s right-side menu and WYSIWYG (What You See Is What You Get) editor to make targeted, real-time changes to their documents, enhancing both efficiency and creative control.
Module 2
Meta Simple Unstructured Prompt
Meta Simple Unstructured Prompt
Meta AI, the new chatbot from Meta (formerly Facebook), represents a significant evolution in AI-powered conversational assistants. This lesson demonstrates how to use Meta AI for generating content by inputting prompts-just as you would with ChatGPT-and then reviewing the results for quality, length, and structure. The video script walks through a practical example of entering an unmodified prompt into Meta AI, examining the output, and preparing it for further editing, providing a hands-on introduction to the platform’s capabilities and unique features.
Meta Simple Editing Tool
Meta Simple Editing Tool
Meta AI offers a suite of integrated editing tools that enable users to refine and reimagine their AI-generated content quickly and at no extra cost. This lesson focuses on the “remix” feature within Meta AI, which allows users to generate variations of existing content, such as blog posts, and apply different formatting or stylistic changes directly within the platform. The process is designed to be intuitive, making it easy for users to experiment with their content and select the version that best fits their needs.
Meta Output Options
Meta Output Options
Meta AI offers users a flexible and user-friendly approach to exporting and managing edited content. This lesson explores the different ways you can output your revised documents, manage formatting, and utilize Meta AI’s built-in revision tracking to streamline your workflow. Whether you’re preparing content for publication, collaboration, or further editing, Meta AI provides robust tools to ensure your output meets your needs.
One of the primary methods for outputting your edited document from Meta AI is the classic copy-and-paste function. After making your desired changes within Meta AI, you can simply copy the content to your clipboard. When pasting this content into your word processing software (such as Microsoft Word, Google Docs, or WordPress), you have several formatting options:
Keep Source Formatting: Retain the exact styling, fonts, and structure from Meta AI.
Merge Formatting: Blend Meta AI’s formatting with your existing document style for a seamless look.
Apply New Formatting: Strip the original formatting and apply the default styles from your word processor.
This flexibility allows you to maintain consistency in your documents or adapt the content to fit specific publishing requirements.
In summary, Meta AI’s output and revision management tools provide a streamlined, flexible process for exporting, formatting, and tracking your edited content. With options for keeping, merging, or reformatting styles, as well as robust revision tracking and regeneration capabilities, users can efficiently produce high-quality documents tailored to their specific needs. These features make Meta AI a valuable asset for content creators, editors, and anyone seeking an organized and adaptable workflow for AI-generated writing.
Meta Special Mention
Meta Special Mention
Meta AI regularly offers users access to experimental features at no additional cost, making it a dynamic platform for exploring the latest advancements in artificial intelligence. In this lesson, the focus is on the AI demos section, where users can try out cutting-edge tools such as Audiobox, Meta’s innovative audio generation and voice cloning program. The video demonstrates how to navigate these demos, specifically showcasing the process of creating an AI-generated audio story, and highlights the broader potential of Meta’s experimental offerings for creators, educators, and technologists.
Free Experimental Access:
Meta AI provides free access to its experimental features, which can be found in the “AI demos” section. These demos are updated regularly, so the available tools may change over time, offering users a chance to experience the latest in AI research and development.Audiobox – AI Audio Generation:
One highlighted demo is Audiobox, a tool designed to generate realistic speech and sound effects from text or voice prompts. Users can create original audio stories by entering text, which Audiobox then converts into lifelike narration or soundscapes. The process is straightforward:Click “Try it” on the Audiobox demo
Accept the terms and start a new story
Enter the text for narration or sound effects
Generate and listen to the AI-created audio
Wide Range of Applications:
Audiobox can be used for podcasts, audiobooks, video tutorials, personalized greetings, and more. Its ability to combine voice input with text prompts allows for highly customized and realistic audio outputs, making it valuable for content creators, educators, and businesses.
In summary, Meta AI’s experimental demos, particularly Audiobox, offer a free and accessible way to explore advanced AI-generated audio and other creative tools. With a user-friendly interface, flexible input options, and regularly updated features, these demos are valuable resources for anyone interested in pushing the boundaries of content creation, storytelling, and audio production. By taking advantage of these experimental elements, users can stay at the forefront of AI innovation and discover new possibilities for their work.
Module 3
Unlocking New Possibilities with Perplexity
Unlocking New Possibilities with Perplexity
Perplexity AI is a versatile AI-powered search and content generation tool that offers both free and paid (Pro) versions, catering to a wide range of users from casual researchers to professionals. In this lesson, the video demonstrates how to use Perplexity AI in its free mode, highlighting the workflow of generating, copying, and exporting content, while also examining the platform’s strengths and limitations regarding formatting and editing tools.
Using Perplexity AI Free Version: Workflow and Features
Toggling Between Free and Pro:
Perplexity AI allows users to switch between its free and Pro modes. The free version provides basic search and content generation capabilities, including unlimited quick searches, five Pro searches per day, and the ability to save your search history and organize queries into collections if you create an account. This makes it accessible for those who want to explore AI-driven research and writing without a subscription.Generating and Exporting Content:
To use Perplexity AI, simply enter your prompt in the input area and submit it. The AI will process your request and generate a step-by-step, well-structured response, often including citations for transparency and credibility. In the video example, the user requested a 600-word response but received 797 words, illustrating that the AI may exceed or fall short of specified word counts depending on the complexity of the prompt and the information required.
After generation, users can copy the content directly from the Perplexity website. However, when pasting into a word processor, the formatting options are limited-there is no direct option to merge or adapt the formatting to your document, and the output often appears in markdown or plain text. For those needing to preserve formatting, using markdown-to-HTML converters or asking Perplexity to output in a specific format can help.Editing and Rewriting Tools:
While Perplexity AI excels at generating and structuring content quickly, its free version does not currently offer built-in, prompt-free rewriting or editing tools directly within the interface. Users must manually refine or edit the content after copying it into their preferred word processor. For advanced editing, such as reformatting, expanding, or condensing content, users typically need to issue new prompts or use external tools.
Advantages and Limitations of Perplexity Free
Strengths:
Instant Draft Generation: Quickly transforms prompts into detailed drafts, significantly reducing research and writing time.
Source Transparency: Provides citations and references, enhancing credibility and allowing for easy fact-checking.
Flexible Content Creation: Supports a wide range of topics and can suggest subtopics or related questions, making it a valuable brainstorming partner.
Organizational Tools: Allows saving queries, organizing research into collections, and attaching files (documents for free users, images for Pro users).
Limitations:
Formatting Constraints: When copying content, formatting may not always transfer cleanly, often requiring manual adjustment or the use of converters.
Editing Capabilities: The free version lacks built-in, prompt-free editing tools; users must rely on manual edits or issue new prompts for rewrites or changes.
Word Count Variability: The AI may not always precisely match requested word counts, so users should verify and adjust as needed.
Bonus Tips and Extra Information
Maximizing Output Quality:
Provide clear, specific prompts for better-structured responses and closer adherence to word count or content requirements.
Use follow-up questions to refine or expand on the initial output, leveraging Perplexity’s ability to handle multi-step reasoning and research.
For more advanced needs-such as file analysis, image generation, or access to multiple AI models-consider exploring the Pro plan, which offers enhanced features for professionals and researchers.
Preserving Formatting:
To maintain formatting when copying to word processors, use markdown-to-HTML converters or ask Perplexity to output content in a code block or specific format.
Organize your research and drafts using Perplexity’s collections and library features for better workflow management.
Deep Research Mode:
Perplexity’s Deep Research (available to all users, with unlimited access for Pro subscribers) can autonomously conduct comprehensive research, synthesize findings, and export reports to PDF or shareable pages-ideal for in-depth projects and professional use.
In summary, Perplexity AI’s free version is a robust platform for generating, researching, and exporting high-quality content quickly and efficiently. While it may lack some advanced formatting and editing tools found in paid plans or competitor platforms, its strengths in draft generation, citation support, and organizational features make it an excellent choice for students, researchers, and anyone looking to streamline their content creation process. For users with more complex needs, upgrading to Pro unlocks additional capabilities and greater flexibility.
Perplexity Editing Tools
Perplexity Editing Tools
Perplexity AI offers users a streamlined and powerful way to rewrite and expand content using advanced AI models. This lesson explores the built-in rewriting tool available at the bottom of generated content, the choice of models for rewriting, and the platform’s unique features for expanding and refining your work. The video demonstrates how to use these tools effectively, providing a valuable workflow for writers, students, and professionals seeking to optimize their content creation process.
Perplexity AI includes a convenient rewriting feature directly within its interface. After generating content, users can simply click the “rewrite” button at the bottom of the response to have the entire document rephrased or restructured. This tool leverages advanced AI paraphrasing technology, allowing you to refresh your content while maintaining its original meaning and intent. The rewriting process is user-friendly and requires no additional prompts or manual intervention.
Step-by-step process:
Click the “rewrite” button at the bottom of your generated content.
Choose which AI model to use for rewriting-options typically include GPT-4 or Sonar, Perplexity’s proprietary model.
Allow Perplexity to regenerate the document. If you’re not satisfied with the result, you can repeat the process as many times as needed, ensuring you get a version that aligns with your preferences.
Sonar: Perplexity’s in-house model, optimized for answer quality, factuality, and readability. Sonar is built on Llama 3.3 70B and has been shown to outperform many competing models in user satisfaction and speed, making it ideal for fast, high-quality rewrites.
GPT-4: A leading large language model known for its nuanced and sophisticated text generation.
Style adaptation: When rewriting, you can further refine the output by specifying a target audience or reading level in your prompt, or by editing the rewritten text manually after generation.
Creative applications: Use the rewrite tool for more than just paraphrasing-try simplifying complex text for younger audiences, transforming formal writing into conversational language, or adapting content for different platforms.
Research and citation: Perplexity’s responses often include citations, making it easy to verify sources and maintain academic integrity in your rewritten or expanded content
In summary, Perplexity AI’s built-in rewriting tool and related topic suggestions provide a robust, efficient workflow for enhancing, refining, and expanding your written content. With the ability to choose between top-tier AI models like Sonar and GPT-4, and the flexibility to iterate as needed, users can produce high-quality, tailored documents with minimal effort. These features make Perplexity AI a valuable asset for anyone looking to streamline their writing process and achieve professional results.
Perpexity Output Options
Perpexity Output Options
Perplexity AI stands out among chatbots for its robust approach to source transparency and user control over content attribution. This lesson focuses on how users can manage, review, and refine the sources that underpin Perplexity’s generated responses, offering a practical workflow for researchers, writers, and anyone who values verifiable information. The video demonstrates the process of copying content, understanding source integration, and customizing the final output by removing unwanted sources.
Managing and Customizing Sources in Perplexity AI
One of Perplexity’s defining features is its commitment to citing every piece of information it generates. Each paragraph or section of the AI’s output is linked to specific sources, which can be easily identified by hovering over the content. Users will notice that these citations are grouped both at the top and embedded within the body of the response, making it straightforward to trace the origin of any statement or fact. This level of transparency is especially valuable for academic research, professional writing, and fact-checking.
Source Integration:
Every generated answer includes hyperlinked sources, allowing users to verify claims or explore further reading.
Citations are both grouped at the top of the response and embedded contextually within the text, enhancing clarity and traceability.
Hovering over a paragraph reveals which source supports that specific content.
Copying Content and Sources:
Users can copy content directly from the Perplexity interface for use in word processors or note-taking apps.
However, when copying, the hyperlinks to sources may not always transfer seamlessly, and sometimes the formatting or live links are lost, depending on the destination platform.
To maintain the best citation structure, it’s often recommended to copy both the content and the citation list, though some manual adjustment may be needed for optimal formatting.
Removing and Refining Source
A powerful feature in Perplexity is the ability to control which sources are included in your final output. By clicking on the ellipsis or “view sources” option at the bottom of the answer, users can see a detailed list of all references used. If a particular source is irrelevant, outdated, or undesirable, users can remove it. Perplexity will then automatically regenerate the content, excluding the removed source and updating the answer accordingly.
Source Removal Workflow:
Click the ellipsis (…) at the bottom of the generated answer and select “view sources.”
Review the list of sources and identify any you wish to exclude.
Click next to the source and select “remove source.” Perplexity will rewrite the content, omitting information from that source.
This process can be repeated, allowing for granular control over the evidence base of your document.
After refining sources, users can copy the updated content for use elsewhere.
Practical Applications:
Ensures that only reputable, relevant, or region-specific sources are included, which is particularly useful for academic or legal research.
Helps avoid unwanted bias or outdated information by filtering out less desirable references.
Bonus Tips and Extra Information
Expanding Content:
After refining your sources, use Perplexity’s related questions and expansion features to deepen your research or add new sections to your document.
Formatting Considerations:
Be aware that when copying content to certain platforms (like Obsidian or Word), citation links may not always transfer perfectly, and some manual formatting may be required.
For best results, experiment with different copy methods, such as highlighting versus using the copy button, to see which preserves formatting and links best in your workflow.
Source Transparency for Collaboration:
When sharing or publishing your work, maintaining clear citations not only boosts credibility but also enables collaborators and readers to verify and build on your research.
Continuous Improvement:
Perplexity’s source management tools are evolving. If you notice changes or limitations (such as the temporary removal of the source deletion feature), check for updates or join the Perplexity community for support and feature requests.
In summary, Perplexity AI empowers users to not only generate well-cited content but also to actively manage and refine the sources that inform their documents. With transparent citation integration, the ability to remove or update sources, and flexible export options, users gain both control and confidence in the quality and credibility of their AI-assisted writing. These features make Perplexity especially valuable for anyone who needs accountable, customizable, and verifiable information in their work.
Perplexity Speical Mentions
Unlocking New Possibilities with Perplexity
Perplexity AI is a versatile AI-powered search and content generation tool that offers both free and paid (Pro) versions, catering to a wide range of users from casual researchers to professionals. In this lesson, the video demonstrates how to use Perplexity AI in its free mode, highlighting the workflow of generating, copying, and exporting content, while also examining the platform’s strengths and limitations regarding formatting and editing tools.
Using Perplexity AI Free Version: Workflow and Features
Toggling Between Free and Pro:
Perplexity AI allows users to switch between its free and Pro modes. The free version provides basic search and content generation capabilities, including unlimited quick searches, five Pro searches per day, and the ability to save your search history and organize queries into collections if you create an account. This makes it accessible for those who want to explore AI-driven research and writing without a subscription.Generating and Exporting Content:
To use Perplexity AI, simply enter your prompt in the input area and submit it. The AI will process your request and generate a step-by-step, well-structured response, often including citations for transparency and credibility. In the video example, the user requested a 600-word response but received 797 words, illustrating that the AI may exceed or fall short of specified word counts depending on the complexity of the prompt and the information required.
After generation, users can copy the content directly from the Perplexity website. However, when pasting into a word processor, the formatting options are limited-there is no direct option to merge or adapt the formatting to your document, and the output often appears in markdown or plain text. For those needing to preserve formatting, using markdown-to-HTML converters or asking Perplexity to output in a specific format can help.Editing and Rewriting Tools:
While Perplexity AI excels at generating and structuring content quickly, its free version does not currently offer built-in, prompt-free rewriting or editing tools directly within the interface. Users must manually refine or edit the content after copying it into their preferred word processor. For advanced editing, such as reformatting, expanding, or condensing content, users typically need to issue new prompts or use external tools.
Advantages and Limitations of Perplexity Free
Strengths:
Instant Draft Generation: Quickly transforms prompts into detailed drafts, significantly reducing research and writing time.
Source Transparency: Provides citations and references, enhancing credibility and allowing for easy fact-checking.
Flexible Content Creation: Supports a wide range of topics and can suggest subtopics or related questions, making it a valuable brainstorming partner.
Organizational Tools: Allows saving queries, organizing research into collections, and attaching files (documents for free users, images for Pro users).
Limitations:
Formatting Constraints: When copying content, formatting may not always transfer cleanly, often requiring manual adjustment or the use of converters.
Editing Capabilities: The free version lacks built-in, prompt-free editing tools; users must rely on manual edits or issue new prompts for rewrites or changes.
Word Count Variability: The AI may not always precisely match requested word counts, so users should verify and adjust as needed.
Bonus Tips and Extra Information
Maximizing Output Quality:
Provide clear, specific prompts for better-structured responses and closer adherence to word count or content requirements.
Use follow-up questions to refine or expand on the initial output, leveraging Perplexity’s ability to handle multi-step reasoning and research.
For more advanced needs-such as file analysis, image generation, or access to multiple AI models-consider exploring the Pro plan, which offers enhanced features for professionals and researchers.
Preserving Formatting:
To maintain formatting when copying to word processors, use markdown-to-HTML converters or ask Perplexity to output content in a code block or specific format.
Organize your research and drafts using Perplexity’s collections and library features for better workflow management.
Deep Research Mode:
Perplexity’s Deep Research (available to all users, with unlimited access for Pro subscribers) can autonomously conduct comprehensive research, synthesize findings, and export reports to PDF or shareable pages-ideal for in-depth projects and professional use.
In summary, Perplexity AI’s free version is a robust platform for generating, researching, and exporting high-quality content quickly and efficiently. While it may lack some advanced formatting and editing tools found in paid plans or competitor platforms, its strengths in draft generation, citation support, and organizational features make it an excellent choice for students, researchers, and anyone looking to streamline their content creation process. For users with more complex needs, upgrading to Pro unlocks additional capabilities and greater flexibility.
Module 4
Gemini Unstructured Prompt
Gemini Unstructured Prompt
Google Gemini is Google’s latest AI chatbot, designed to compete with leading platforms like ChatGPT and Anthropic’s Claude. Available at gemini.google.com, Gemini offers both free and paid versions, each catering to different user needs. In this lesson, the video demonstrates how to use Gemini’s free version-specifically the “Flash” engine-to generate content, copy results, and transfer them to a word processor, while highlighting some important considerations and limitations.
Key Features and Workflow of Google Gemini
Free and Paid Versions:
Gemini is accessible in both free and paid (Gemini Advanced) tiers. The free version uses the 1.5 Flash model, suitable for basic queries, writing, and light creative tasks. The paid Gemini Advanced tier provides access to more powerful AI models, longer context windows, priority access to new features, and deeper integration with Google Workspace apps like Gmail and Docs. This makes the paid version ideal for users with complex or professional needs, while the free version remains robust for everyday tasks.Model Selection and Output Generation:
Users can select between different engines, such as “Flash” (fast, everyday tasks) and “Advanced” (more powerful, for paid users). In the video, the Flash engine is used. After entering a query, Gemini produces step-by-step instructions and article content, which can be easily copied via the ellipsis menu. The content is then pasted into a word processor for further use or formatting.Output Length and Limitations:
One notable issue is that Gemini sometimes delivers less content than requested. For example, if a 600-word response is requested, the output may only be 472 words. This is a common limitation with large language models, which often struggle to precisely match word count requirements due to token-based processing and built-in output limits. Users should be aware of this when specifying content length and may need to prompt Gemini to “continue” or “expand” the response if more detail is needed.
Advantages and Unique Capabilities
Multimodal Interaction:
Gemini is multimodal, meaning it can process and respond to text, images, audio, and even video. Users can upload photos or videos, ask questions about them, and receive detailed, context-aware answers. This makes Gemini especially versatile for a range of tasks, from summarizing documents to identifying objects in images.Integration with Google Ecosystem:
Gemini integrates seamlessly with Google’s suite of apps, including Gmail, Docs, and Maps. This allows users to draft emails, summarize inboxes, analyze documents, and more-all powered by Gemini’s AI capabilities.Reasoning and Explanation:
Unlike traditional search engines, Gemini is designed to provide reasoned, step-by-step explanations, making complex information more accessible and actionable for users.Device and Platform Flexibility:
Gemini is available on the web and as a mobile app for both Android and iOS. On Android, it can even replace Google Assistant, providing AI-powered assistance across the device.
Bonus Tips and Best Practices
Handling Output Limits:
If Gemini’s output is shorter than requested, use follow-up prompts like “continue” or “expand” to obtain additional content. Be aware that the model’s maximum output length is governed by token limits, which may cap responses even in the paid tier.Editing and Formatting:
When pasting Gemini’s output into a word processor, you may need to adjust formatting manually, as some styling may not transfer perfectly.Explore Gemini’s Tools:
Gemini offers additional tools at both the top and bottom of each post, such as options to refine, regenerate, or share responses. These tools can help you get the most out of your interaction and will be covered in more detail in future lessons.Double-Check Information:
As with all AI chatbots, Gemini can occasionally make mistakes or “hallucinate” information. Always verify important facts, especially for professional or academic use.
In summary, Google Gemini is a powerful, multimodal AI assistant that offers both free and paid options, each with distinct capabilities. While the free Flash engine is suitable for most everyday tasks, users with advanced needs may benefit from Gemini Advanced’s expanded features and integrations. Gemini excels at reasoning, integrates deeply with Google’s ecosystem, and supports a variety of input types, making it a flexible tool for writing, research, and productivity. However, users should be mindful of output length limitations and always review generated content for accuracy.
Gemini Editing Tools
Gemini Editing Tools
Google Gemini’s editing and revision tools have made it easier than ever to refine AI-generated content without needing to type new prompts. This lesson explores the intuitive, no-prompt-required editing features available within Gemini, showing how users can quickly generate, compare, and modify drafts to achieve the exact tone, length, and complexity they desire. The video demonstrates these capabilities step by step, making it clear how Gemini can be leveraged for efficient and flexible content creation.
Gemini automatically generates three drafts for every query, giving users a variety of responses to choose from. By clicking “Show drafts” at the top of the interface, you can easily view all three versions of the answer to your query. If none of the drafts meet your expectations, the “Regenerate drafts” button allows you to instantly request three new alternatives. The default display is always Draft 1, but you can switch between Draft 2 and Draft 3 with a single click to compare different phrasings, structures, or ideas.
Key Features:
Instantly access three alternative drafts for every query.
Regenerate a new set of three drafts if you’re unsatisfied with the initial options.
Effortlessly switch between drafts to find the best fit for your needs
Beyond draft selection, Gemini offers powerful response modification tools that require no manual prompting. At the bottom of each response, the “Modify response” button provides several options: you can regenerate the entire response, make it shorter or longer, or simplify the language. Additionally, Gemini allows you to adjust the tone, making content more casual or more professional depending on your audience or purpose. For example, you might first set the tone to “more professional,” then further extend the content by choosing “longer” to ensure both style and substance are tailored to your requirements.
Modification Options:
- Regenerate the entire response for a new take.
- Shorten or lengthen the content to fit specific word counts or formats.
- Simplify language for broader accessibility.
- Adjust tone to be more casual or more professional.
Bonus Tips and Extra Information
Image Editing Integration:
Gemini’s latest updates include native AI image editing, allowing you to modify both generated and uploaded images. You can change backgrounds, replace objects, and more, all within the Gemini app.Limitations to Keep in Mind:
Sometimes, Gemini may not be able to process certain modification requests, especially if they involve changes to formatting, context, or prohibited content. If you encounter an error, try simplifying your request or ensure it aligns with Google’s guidelines.Iterative Workflow:
Combine draft selection, whole-response modification, and section-specific editing for a robust, iterative content creation process. This layered approach helps you quickly arrive at polished, publication-ready material.
In summary, Google Gemini’s editing and revision tools provide a seamless, prompt-free way to manage and refine AI-generated content. With instant access to multiple drafts, one-click modifications for tone and length, and granular section editing, users have unprecedented control over their writing. These features, combined with new image editing capabilities, make Gemini a powerful platform for anyone seeking efficient, high-quality content creation and customization.
Gemini Output Options
Gemini Output Options
Google Gemini offers a seamless suite of export and sharing tools designed to integrate effortlessly with the broader Google ecosystem. This lesson explores the various ways users can output and distribute content generated within Gemini, leveraging familiar Google Workspace applications like Gmail and Google Docs, as well as public sharing options. These features make it easy to move from AI-generated drafts to collaborative documents, emails, or shareable links, streamlining the workflow for both individuals and teams.
Exporting Content to Google Workspace Apps
One of Gemini’s core strengths is its deep integration with Google Workspace, allowing users to quickly export AI-generated content to Gmail and Google Docs. By clicking the “Share & export” button at the bottom of a Gemini response, users can choose to:
Draft in Gmail: Instantly open the content as a draft email in your Gmail account. This is particularly useful for users employing Gemini to compose or refine emails, as it allows for immediate editing, review, and sending within the Gmail interface.
Export to Google Docs: Create a new Google Doc containing your Gemini-generated content. The document is automatically saved to your Google Drive, enabling further editing, formatting, and collaboration with others in real time. This feature is available to users signed in with a Gmail account and is ideal for reports, articles, or any content requiring additional input or review.
These export options harness the collaborative and cloud-based strengths of Google Workspace, ensuring that your content is not only easy to generate but also simple to distribute and refine with colleagues or stakeholders.
Creating and Sharing Public Links
Beyond Workspace integrations, Gemini provides a direct sharing feature that allows users to create public links to their content. By selecting the “Create public link” option, you generate a unique URL that can be shared with anyone, even outside your organization. Recipients can view the content in their browser without needing a Google account, making this an efficient way to distribute information to a broad audience or collect feedback from external partners.
Public Page Creation: With just a few clicks, turn your Gemini output into a publicly accessible web page.
Easy Link Sharing: Copy and distribute the public link via email, messaging apps, or social media for maximum reach and convenience.
This capability is particularly valuable for educators, marketers, or anyone needing to disseminate information widely and quickly.
Workflow Efficiency and Bonus Tips
Gemini’s export and sharing tools are designed to optimize productivity by reducing friction between content creation and distribution. Here are some additional insights and best practices:
Automatic Saving: Exported Docs are saved directly to Google Drive, ensuring your work is always backed up and accessible from any device.
Collaboration Features: Once in Google Docs, you can use all standard collaboration tools-comments, suggestions, version history, and more-to refine your content with others.
Integration with Other Google Apps: Gemini’s export functionality extends to Google Sheets (for tables), Google Colab (for code), and more, depending on the content type.
Privacy and Permissions: When sharing public links, be mindful of the sensitivity of your content, as anyone with the link can access the page. For internal collaboration, stick to Docs and Gmail to control access through Google’s sharing permissions.
AI-Powered Enhancements: In Google Docs, Gemini can further assist by summarizing, rephrasing, or adjusting the tone of your content, making it a powerful tool for ongoing document refinement.
In summary, Google Gemini’s export and sharing features empower users to efficiently move AI-generated content into Gmail, Google Docs, or public web pages, capitalizing on the collaborative and cloud-based nature of Google Workspace. These tools not only streamline the transition from draft to finished product but also facilitate broad distribution and real-time collaboration, making Gemini a valuable asset for anyone working within the Google ecosystem or needing to share content widely
Gemini Special Mentions
Gemini Special Mentions
Google Gemini has introduced robust audio interaction features, making it easier than ever to both listen to AI-generated content and interact with the chatbot using your voice. This lesson explores how Gemini’s audio capabilities enhance accessibility, productivity, and user engagement-whether you’re consuming information hands-free or entering queries by speaking. The video demonstrates these features in action, showing how users can listen to responses, use their microphone for input, and even combine custom spoken text with AI-generated content.
One of Gemini’s standout features is its ability to read answers aloud, transforming text-based outputs into engaging audio experiences. At the top of each Gemini response, users will find a speaker icon; clicking this icon activates the read-aloud function, allowing you to listen to the AI’s answer instead of reading it. This is particularly useful for multitasking, accessibility, or when you simply prefer audio over text. The audio output is clear and immediate, making it easy to absorb information on the go or while performing other tasks2 .
How to use audio playback:
Click the speaker icon at the top of a Gemini response to listen to the answer.
Ensure your device’s sound is enabled for optimal experience.
Use this feature for hands-free learning, reviewing, or sharing content in group settings.
Gemini also supports voice input, allowing users to enter prompts and queries using their microphone. By clicking the “use microphone” button, you can speak your request directly to Gemini. This feature requires granting microphone access to your browser or device. Voice input is especially helpful for users who find typing cumbersome, are on the move, or want a more conversational interaction with the AI.
How to use voice input:
Click the microphone icon and grant permission for Gemini to access your device’s microphone.
Speak your query or instruction clearly.
Gemini will process your spoken input and generate a response, just as it would with typed text.
Advanced voice features:
On Android devices, Gemini leverages Google Assistant features for hands-free interaction using “Hey Google” and Voice Match, making it easy to initiate chats or complete quick tasks purely by voice.
The Gemini Live API enables real-time, bidirectional voice and video interactions, supporting natural, human-like conversations and even allowing users to interrupt responses with voice commands.
A recent addition to Gemini is the Audio Overview feature, which turns documents, slides, or deep research reports into podcast-style audio discussions between AI hosts. This tool summarizes key points, draws connections, and provides unique perspectives, making complex information more digestible and engaging. Audio Overview is available to both free and Advanced Gemini subscribers and can be accessed on the web or through the Gemini mobile app.
Audio Overview benefits:
Summarizes lengthy or complex material in a conversational audio format.
Helps users learn and retain information while multitasking.
Allows sharing or downloading audio summaries for on-the-go listening.
Combining Audio and Text: You can ask Gemini to merge spoken input with AI-generated content, enabling dynamic, hybrid workflows (e.g., combining dictated notes with a generated article).
Accessibility: Audio features make Gemini more inclusive for users with visual impairments or reading difficulties.
Productivity: Listening to summaries or entering prompts by voice can speed up workflows, especially during research, brainstorming, or content review.
Enterprise Applications: Audio Overview is particularly valuable for organizations needing to digest complex reports quickly, making meetings, training, and decision-making more efficient.
In summary, Google Gemini’s audio interaction features-including read-aloud responses, voice input, and the innovative Audio Overview-transform how users engage with AI-generated content. These tools promote accessibility, productivity, and deeper learning, making Gemini a versatile assistant for both personal and professional use. Whether you’re listening to answers, speaking your queries, or consuming audio summaries of complex documents, Gemini’s audio capabilities help you stay informed and efficient in any context.
Module 5
Claude Unstructured Prompt
Claude Unstructured Prompt
Claude AI, developed by Anthropic, is a sophisticated generative AI platform designed to handle a wide range of content creation and complex reasoning tasks. In this lesson, the video demonstrates how to use Claude’s professional plan to generate and manage documents, focusing on its advanced model selection, artifact system, and export options. The workflow is geared toward maximizing productivity and flexibility for users who need high-quality, editable outputs for professional or creative projects.
Model Selection for Complex Tasks:
Claude offers multiple AI models, each tailored for different strengths. In the professional plan, users can select models optimized for complex writing and reasoning. This ensures that the content generated is not only relevant but also nuanced and well-structured, making Claude particularly suitable for intricate projects or in-depth research.Artifact Split-Screen Interface:
When a query is submitted, Claude displays its process and results in a split-screen format known as “Claude artifacts.” Instructions and prompts appear on the left, while the AI’s generated output is displayed on the right. This clear separation allows users to track both the input and the evolving output, making it easier to review, compare, and iterate on the content.
Flexible Export and Editing:
Once content is generated, users have multiple export options:
Download the output as a markdown file, which preserves formatting, structure, and even code blocks. This file can be easily imported into Microsoft Word, Google Docs, or other word processors for further editing.
Alternatively, users can copy the content directly from the Claude interface and paste it into their preferred software, allowing for immediate integration into existing workflows.
Editing Without Additional Prompts:
Claude is designed to facilitate editing and revision without requiring new prompts for every change. Users can interact with the artifact output, making adjustments directly or leveraging built-in tools for refining text, adjusting tone, or restructuring content. This streamlines the revision process, saving time and reducing friction for writers, editors, and teams.
Comprehensive Content Generation:
Claude excels at a variety of writing tasks, including
Long-form articles, blog posts, and whitepapers
Executive summaries and data analysis
Creative writing, brainstorming, and ideation
Coding, technical documentation, and problem-solving
Its advanced natural language understanding and contextual awareness help maintain consistency and clarity across even the most complex documents.
Safety, Transparency, and Customization:
Claude is built with strong safety and alignment features, minimizing hallucinations and harmful content. It provides clear, transparent reasoning for its outputs and can adapt its writing style to user preferences. The platform also supports prompt engineering for specialized outputs and can be integrated into various business applications via API.Markdown Export Advantages:
Exporting as markdown preserves formatting, lists, code, and structure-ideal for technical documentation or collaborative editing. Open-source tools like Claude Chat Exporter can further automate and customize this process.Business and Productivity Applications:
Claude is widely used for content marketing, SEO writing, customer service automation, and decision support. Its ability to summarize, extract insights, and generate actionable recommendations makes it valuable across industries.Collaboration and Integration:
With API support and extensibility, Claude can be embedded in customer support systems, research tools, and content pipelines, enhancing team productivity and automating routine tasks.
In summary, Claude AI’s professional plan empowers users with advanced model selection, a user-friendly artifact interface, and flexible export options, making it a top choice for complex writing, research, and business applications. Its editing tools, safety features, and integration capabilities further position Claude as a leading solution for anyone needing reliable, high-quality AI-generated content.
Claude Editing Tools
Claude Editing Tools
Claude AI provides users with a variety of flexible and practical options for exporting, sharing, and collaborating on content generated within its platform. This lesson highlights the key methods available for outputting your work from Claude, ensuring that your AI-generated documents can be easily integrated into your workflow, shared with others, or published for broader access.
Claude’s interface is designed to make exporting content straightforward:
Copy and Paste:
The simplest and most immediate way to export your content is by using the “Copy contents” feature. This allows you to quickly move generated text into your preferred word processing software, such as Microsoft Word or Google Docs. This method is ideal for users who want to make further edits, format their document, or incorporate Claude’s output into larger projects.Download as Markdown File:
Claude offers the ability to download your document as a markdown (.md) file. Markdown is a lightweight markup language that preserves formatting and structure, making it easy to convert or import into other formats, including DOCX or PDF using third-party tools or word processors that support markdown. When you choose this option, you’ll need to open the file with a compatible program, such as Microsoft Word, a markdown editor, or Google Docs.Publish and Share Publicly:
For collaborative or public sharing, Claude enables you to “Publish” your document. This creates a public web page accessible via a unique link. Anyone with this link can view your content in their browser, and if they have a Claude account, they can “remix” the artifact-essentially making their own editable copy to work with. If you decide you no longer want the document to be public, you can “Unpublish” it at any time, instantly revoking access.Export Extensions and Scripts:
Several browser extensions and scripts are available for users who want more control over their exports. For example, the Claude Export Tool Chrome extension allows you to save conversations in various formats (TXT, MD, CSV, JSON, HTML), and bookmarklets or scripts can export Claude chats to PDF or markdown with a single click, all within your browser. These tools are particularly useful for archiving, sharing, or integrating Claude outputs into other digital workflows.Formatting and Conversion:
If you need to preserve complex formatting (tables, equations, headings), tools like MassiveMark Playground can convert Claude’s markdown output into polished DOCX or PDF files with professional results, retaining all structural elements. This is especially valuable for academic, technical, or business documents.Data Export for Teams and Enterprises:
Claude also supports exporting conversation data and user information at the account or organization level. Users can export their chat history and data from account settings, while enterprise administrators can export organization-wide data for compliance or audit purposes. These exports are delivered via secure download links and are available for a limited time.Privacy and Access Control:
When publishing documents, remember that anyone with the link can access the content. Use the “Unpublish” feature to revoke public access when needed. For sensitive or private work, stick to copy-paste or file download methods.Remixing and Collaboration:
The ability for others to remix your published artifacts makes Claude a powerful tool for collaborative projects, peer review, or educational use. Encourage colleagues to remix and iterate on your work for enhanced creativity and productivity.File Compatibility:
Markdown files are widely supported and can be opened or converted by many modern word processors. If you encounter compatibility issues, use free online converters or import the markdown into Google Docs or Word for further editing.File Uploads and Integration:
Claude supports uploading various document types (PDF, DOCX, TXT, etc.) for analysis and interaction, expanding its role as a comprehensive research and content creation platform.
In summary, Claude AI offers multiple, user-friendly ways to output your content: copy-paste for quick edits, markdown downloads for structured formatting, and public publishing for sharing and collaboration. Advanced users can leverage browser extensions and conversion tools for even more flexibility. These export options, combined with Claude’s artifact system and collaboration features, make it a versatile choice for anyone needing to generate, refine, and distribute AI-powered content efficiently and securely.
Claude Output Options
Claude Output Options
Claude AI provides users with a variety of flexible and practical options for exporting, sharing, and collaborating on content generated within its platform. This lesson highlights the key methods available for outputting your work from Claude, ensuring that your AI-generated documents can be easily integrated into your workflow, shared with others, or published for broader access.
Claude’s interface is designed to make exporting content straightforward:
Copy and Paste:
The simplest and most immediate way to export your content is by using the “Copy contents” feature. This allows you to quickly move generated text into your preferred word processing software, such as Microsoft Word or Google Docs. This method is ideal for users who want to make further edits, format their document, or incorporate Claude’s output into larger projects.Download as Markdown File:
Claude offers the ability to download your document as a markdown (.md) file. Markdown is a lightweight markup language that preserves formatting and structure, making it easy to convert or import into other formats, including DOCX or PDF using third-party tools or word processors that support markdown. When you choose this option, you’ll need to open the file with a compatible program, such as Microsoft Word, a markdown editor, or Google Docs.Publish and Share Publicly:
For collaborative or public sharing, Claude enables you to “Publish” your document. This creates a public web page accessible via a unique link. Anyone with this link can view your content in their browser, and if they have a Claude account, they can “remix” the artifact-essentially making their own editable copy to work with. If you decide you no longer want the document to be public, you can “Unpublish” it at any time, instantly revoking access.Export Extensions and Scripts:
Several browser extensions and scripts are available for users who want more control over their exports. For example, the Claude Export Tool Chrome extension allows you to save conversations in various formats (TXT, MD, CSV, JSON, HTML), and bookmarklets or scripts can export Claude chats to PDF or markdown with a single click, all within your browser. These tools are particularly useful for archiving, sharing, or integrating Claude outputs into other digital workflows.Formatting and Conversion:
If you need to preserve complex formatting (tables, equations, headings), tools like MassiveMark Playground can convert Claude’s markdown output into polished DOCX or PDF files with professional results, retaining all structural elements. This is especially valuable for academic, technical, or business documents.Data Export for Teams and Enterprises:
Claude also supports exporting conversation data and user information at the account or organization level. Users can export their chat history and data from account settings, while enterprise administrators can export organization-wide data for compliance or audit purposes. These exports are delivered via secure download links and are available for a limited time.Privacy and Access Control:
When publishing documents, remember that anyone with the link can access the content. Use the “Unpublish” feature to revoke public access when needed. For sensitive or private work, stick to copy-paste or file download methods.Remixing and Collaboration:
The ability for others to remix your published artifacts makes Claude a powerful tool for collaborative projects, peer review, or educational use. Encourage colleagues to remix and iterate on your work for enhanced creativity and productivity.File Compatibility:
Markdown files are widely supported and can be opened or converted by many modern word processors. If you encounter compatibility issues, use free online converters or import the markdown into Google Docs or Word for further editing.File Uploads and Integration:
Claude supports uploading various document types (PDF, DOCX, TXT, etc.) for analysis and interaction, expanding its role as a comprehensive research and content creation platform.
In summary, Claude AI offers multiple, user-friendly ways to output your content: copy-paste for quick edits, markdown downloads for structured formatting, and public publishing for sharing and collaboration. Advanced users can leverage browser extensions and conversion tools for even more flexibility.
These export options, combined with Claude’s artifact system and collaboration features, make it a versatile choice for anyone needing to generate, refine, and distribute AI-powered content efficiently and securely.
Getting Started
Perplexity Free Versus Paid
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Perplexity Pro offers users a more robust and flexible experience compared to the free version, making it a valuable tool for advanced users, researchers, and professionals who need unlimited access and AI model variety. One of the primary distinctions between the free and Pro versions is the access to a broader selection of powerful AI models. These include Claude Sonnet, Sonar Large, Grok-2 by XAI, GPT-4o (OpenAI’s latest), and Perplexity’s default model. This multi-model environment gives users the ability to select a specific model tailored to their task, be it creative content generation, deep research, or conversational intelligence.
Claude Sonnet & Sonar Large for nuanced comprehension and writing.
GPT-4o offers balanced performance in reasoning, context, and creativity.
Grok-2 and other Claude variants add to the range of analytical capabilities.
Perplexity’s Default Model is optimized for general use and rapid response.
By simply toggling on “Pro”, users immediately unlock these features. If toggled off, they revert to the limitations of the free version, even within the Pro workspace. This clear and flexible toggle system allows for quick switching based on need or preference.
Create a Page
One of the standout tools within the Perplexity Pro environment, the Page creation feature found in the Library section. This powerful tool is designed to help users draft, customize, and publish structured content that can be used for presentations, articles, study materials, or internal documentation. It’s particularly useful for anyone looking to turn research or AI-generated responses into a polished deliverable.
To begin, users simply click the “Page” tab inside the Library. This opens up a step-by-step process for building a new document. The first step involves specifying what the page is about effectively establishing a focus or central theme. Following that, users are prompted to select an audience type, such as “Beginners” or “Experts.” This audience selection is not just cosmetic; it determines the tone, vocabulary, and depth of explanation the AI uses when generating content.
Choose your target audience to tailor content depth.
“Experts” mode uses advanced concepts and technical terminology.
“Beginners” mode simplifies information and uses accessible language.
Pro Summary
The powerful research capabilities of Perplexity Pro, particularly focusing on summarizing and synthesizing multiple scholarly articles. The lesson picks up after a crucial preparatory step: the user has already downloaded several scientific publications and journal articles related to their research topic. The next step involves uploading these documents into the Pro version of Perplexity to extract meaningful insights.
Perplexity Pro allows users to bypass the limitations typically present in the free version, such as file upload restrictions or the number of allowed queries. With the Pro toggle enabled, users gain access to a more expansive feature set, enabling a seamless workflow for research-heavy tasks. The process starts by navigating to the “Attach” area within the workspace, where users upload the previously collected academic documents.
No file limits in Perplexity Pro (great for handling multiple sources).
Upload scientific publications, PDFs, or articles directly.
Ideal for academic research, literature reviews, and expert-level synthesis.
Convert Summaries to Page and Spaces
The advanced features of Perplexity Pro, with a specific focus on utilizing multimedia resources and managing content within custom spaces. The video outlines how users can enhance their research projects or content development by integrating relevant videos, images, and organizational tools, streamlining the process for greater efficiency and impact.
One of the most powerful tools in Perplexity Pro is its ability to search for multimedia assets, such as videos and images, directly related to your topic. This functionality is particularly useful for users developing presentations, content for publication, or in-depth research projects. The tool allows you to search for videos on the same or similar subject as your current content. Although the results may vary in relevance, they serve as valuable supplementary material that can broaden your research perspective or content strategy.
Use built-in video search to discover related content.
Access a curated set of images relevant to your topic.
Watch and assess video resources from within Perplexity’s interface.
Enhance your understanding with visual learning aids
Getting Started
Using the Default AI Model in the Pro Version
A practical approach for selecting and leveraging different AI models within the Perplexity Pro platform. The key takeaway is the importance of aligning your research objectives with the capabilities of various AI models provided in the Pro version. By using a semi-structured prompt, such as asking the AI to “think step-by-step,” users can significantly enhance the quality of responses, especially when combined with targeted use of web-focused search.
The demonstration begins with the default model, guiding users to formulate a thoughtful query designed to explore a topic thoroughly. The prompt includes a step-by-step reasoning instruction and a web search focus, which instructs Perplexity to use up-to-date online information to craft a comprehensive response. Once the result is generated, users are encouraged to copy the content into a word processor, making it easier to manage and reference later. This also allows for better documentation, formatting, or sharing of the insights gathered.
Start with a semi-structured prompt: “Think step-by-step…”
Choose a model (e.g., default) and apply a web search focus.
Review, copy, and paste results into a word processor.
Add the findings into an existing Space to maintain organization.
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Using the ChatGPT 4o Model in the Pro Version
A practical demonstration of how to change the AI model used within Perplexity Pro specifically switching from the default Perplexity model to the GPT-4o model by OpenAI, one of the most advanced AI models currently available. The key takeaway is how different models, when presented with the same prompt and follow-up questions, may produce distinct interpretations and conclusions, which can significantly affect research outcomes or project decisions.
The session begins by accessing the Settings tab in the Perplexity workspace and toggling the AI model to GPT-4o. The instructor then replicates the exact query from a previous session using the default model. By returning to the Home tab, the same question is pasted into the prompt field to evaluate how GPT-4o interprets and answers it. Immediately, the results differ, showcasing the nuanced capabilities and varied approach GPT-4o brings to content generation and analytical reasoning.
Change the AI model from Default to GPT-4o in the Settings tab
Repeat the exact same question to compare model behavior
GPT-4o produces unique conclusions and structures
Run additional follow-up prompts for deeper comparisons
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Using the X Model in the Pro Version
The Grok-2 mode is the latest advanced AI model developed by X.AI (formerly Twitter) and now integrated into Perplexity Pro. The focus of the video is on utilizing Grok-2 to answer a series of structured questions and comparing its analytical approach and conclusions with those of other AI models such as the default Perplexity model and OpenAI’s GPT-4o. This comparative analysis emphasizes how different AI models can interpret the same query in unique ways, potentially offering new perspectives or more in-depth discussions.
The process begins with the instructor selecting Grok-2 from the available models and pasting an existing prompt into the dialogue box on the homepage. As the AI generates its first round of results, it’s immediately evident that Grok-2 provides distinct answers and framing compared to previous models. This sets the stage for a series of follow-up questions, each aimed at deepening the analysis and guiding the AI through a step-by-step reasoning process.
Select Grok-2 from the model list in Perplexity Pro
Use an existing query for consistency in model comparison
Grok-2 generates different results on first response
Engage with structured follow-up questions to assess reasoning flow
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Using the Claude Sonnet Model in the Pro Version
The instructor walks viewers through a hands-on demonstration of switching to and querying the Claude.ai model within a comparative AI platform (likely Perplexity.ai). The goal of the video is to explore the performance and output quality of the Claude model compared to other large language models such as GPT-4o, the default Perplexity model, and x.ai. By running the same queries across different AI models, viewers are introduced to the unique characteristics, strengths, and weaknesses of Claude.ai.
The process begins by navigating to the home page of the platform and submitting a standardized query to Claude. As the results generate, the video points out that Claude tends to deliver the most concise answers of all the models tested. While it may lack the nuanced elaboration or “insight depth” of other models like GPT-4o, Claude compensates by providing clear and sharply focused responses. This makes Claude particularly useful for users who value brevity and precision over extensive explanation. The instructor then proceeds with a follow-up question to further test the model’s ability to maintain consistency, respond with enhanced logic, and apply quantitative assessments or scoring systems.
By the third question, viewers can observe that Claude.ai continues to offer precise and consistent output. However, the video highlights a key observation: when asked to make a final decision or recommendation, Claude aligns its output with GPT-4o and Perplexity’s default model. Interestingly, the only outlier in this comparative test is the x.ai model, suggesting that Claude and GPT-4o may share similar logical frameworks or training methodologies, resulting in consensus-driven outcomes. This consistency may indicate a higher level of reliability when using Claude.ai for decision-making or comparative evaluation tasks.
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Publishing the Results
The process of converting AI test results into individual web pages and publishing them for broader access and documentation. The workflow begins with test results generated by different AI models, such as the Claude Sonnet model. The instructor demonstrates how to take these results, convert them into a structured page, and edit the page to include essential metadata for example, explicitly naming the AI model responsible for the results. This step ensures that each published page is clear, informative, and easily traceable to its source.
The process is repeated for another set of test results, this time from a page generated by x.AI. Here, the tutorial emphasizes the importance of editing the page to document the creation process of the model. This not only adds transparency but also provides valuable context for readers who may want to understand the methodology behind the results. After making the necessary edits, the page is saved and published, making the information readily available to the intended audience. The instructor also shows how to select and publish a default page, ensuring that users have a primary landing page to access the most relevant or general information.
Throughout the tutorial, the focus is on maintaining clarity, organization, and accessibility in presenting AI test results. By converting raw outputs into well-structured, published pages, users can create a centralized repository of AI evaluations, making it easier to share findings, collaborate with others, and track the evolution of different AI models over time. This approach is especially useful for teams or organizations conducting comparative studies, audits, or ongoing improvements of AI systems.
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Welcome to AI Wealth Profit
Other Ways to Use the Playground Model to Generate Images
The focus shifts to visualizing data using a mind map, an effective tool for breaking down complex ideas into structured, easy-to-understand components. Unlike the previously discussed visualizations such as bar charts or infographics, the mind map is specifically chosen here to represent the relationships between key ideas in a more associative and non-linear format. The presenter begins by skipping the creation of a pie chart, opting instead for a more concept-driven representation through a mind map. The goal is to enhance the learner’s understanding of the material in a format that can be adapted or expanded as needed.
To begin the process, the presenter explains the importance of uploading the final summary document a recurring operational best practice emphasized throughout the series. This ensures that Claude AI has full context and minimizes memory loss across conversation stages. Once uploaded, the instruction is given to Claude to generate a mind map artifact based on the summary content. Claude first walks through its step-by-step rationale, breaking down the structure and significance of the data. Then, it proceeds to generate the mind map. The user is reminded that although Claude will generate a usable mind map, it may not be perfectly styled or structured the way the user envisions. Therefore, iteration and customization are encouraged.
The presenter highlights the importance of publishing the document once the mind map is created. Publishing not only allows for easier sharing but also enables further iterative improvements later. By copying and saving the document’s link, users can revisit the visualization in future sessions. The workflow demonstrated here reinforces the idea that using Claude AI is an interactive, evolving process, where users refine and enhance content collaboratively with the model.
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Using the Playground Model for Images
The process of testing different image generation models available exclusively in the Pro version of Perplexity AI. The tutorial begins by emphasizing that image generation is not available in the free version, making a Pro subscription essential for accessing this advanced feature. Users are guided to the settings area, where they can select and experiment with multiple image generation models to observe the differences in their outputs.
The demonstration starts with the default Playground model, showing how to initiate an image generation request. When users enter a query in the home tab, the AI typically responds that it cannot generate images directly in the chat interface. Instead, users are directed to the image generation panel on the right side of the screen, where they can choose the desired style for their image, such as photograph. Once the image is generated, users can click on it to confirm that the Playground model was used, and then download the image to their hard drive for future use.
The video concludes by noting that there are additional image generation methods and models to explore, which will be covered in future lessons. This encourages users to continue learning about the unique outputs each model can produce and to find the best fit for their creative needs. The course provides a practical foundation for understanding and utilizing the image generation features of Perplexity AI Pro, helping users get started with creating and managing AI-generated images effectively.
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Using the Flux Model to Create Images
The Flux One image generation model within Perplexity AI, a powerful feature exclusive to the Pro version. The instructor guides viewers through the process of switching from the default Playground model to Flux One, highlighting how to initiate image generation through the image generation tab after receiving a message that the AI cannot generate images directly from the chat query. Users select the photograph style to see Flux One’s interpretation and are shown how to download the generated images to their hard drive for later use. This hands-on demonstration reveals the distinct style and quality differences Flux One offers compared to other models.
Beyond photographs, the tutorial explores Flux One’s versatility by generating a painting, a diagram, and an illustration, allowing users to compare how this model interprets various artistic and technical image types. This comparison helps users decide which model and style best suit their creative or professional needs. The video encourages experimentation with different models and styles to find the optimal fit for specific projects, emphasizing that Flux One excels in producing detailed and complex images. The instructor’s practical approach helps users understand how to navigate the Perplexity AI interface effectively and leverage the model’s strengths.
Overall, this lesson equips users with the knowledge to confidently use the Flux One model within Perplexity AI, showcasing its ability to create diverse image types and emphasizing the importance of model selection in achieving desired visual outcomes. The video concludes by inviting viewers to continue exploring other models and features in future tutorials, fostering a deeper understanding of AI-powered image generation.
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Using the Dalle Model to Create Images
The DALL·E image generation model within Perplexity AI, is a feature available exclusively to Pro users. DALL·E, developed by OpenAI, is renowned for its ability to create high-quality, original images from natural language prompts. The tutorial begins by demonstrating how to input a prompt into Perplexity AI’s home tab and navigate to the image generation panel once the AI indicates it cannot generate an image directly within the chat. Users then select the photograph style to see DALL·E’s interpretation of the prompt, showcasing the model’s ability to produce realistic and creative photographic images. The generated image can be viewed in detail and downloaded to the user’s hard drive for further use.
The tutorial continues by exploring DALL·E’s versatility across different visual styles. After generating a photograph, users return to the image generation tab to create a painting, followed by a diagram, and finally an illustration. Each style demonstrates how DALL·E adapts its output to fit various artistic and informational needs, making it a flexible tool for diverse projects ranging from creative art to technical diagrams. The ability to switch between styles and generate multiple image types from the same prompt allows users to tailor their visuals precisely to their content and audience.
The video concludes by emphasizing the importance of selecting the appropriate model and style based on the desired outcome. Users are encouraged to experiment with DALL·E and other available models within Perplexity AI to find the best fit for their specific use cases. With a daily limit of up to 50 image generations, Pro users have ample opportunity to explore and create compelling visuals. This tutorial equips users with the foundational knowledge to harness DALL·E’s capabilities effectively, enhancing their projects with custom, AI-generated imagery.
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Getting Started
Live Example - Spaces and Profile Prep
A step-by-step guide on how to create and customize Spaces within Perplexity AI, a powerful feature designed to help users organize their research, projects, and collaborative work efficiently. The instructor begins by demonstrating how to navigate to the Spaces tab and initiate the creation of a new Space. Users are prompted to enter a title and optionally a description that clearly defines the Space’s purpose, making it easier to maintain focus and clarity. To personalize the Space, users can assign an emoji that visually represents the project or topic, adding a touch of customization that aids quick identification.
A key feature highlighted is the ability to select a default AI model for the Space, which is particularly useful for Pro users who have access to advanced models like GPT-4. This selection ensures that all AI interactions within the Space are tailored to the chosen model’s capabilities, enhancing the quality and relevance of generated content. Additionally, users can provide custom instructions to guide the AI’s behavior, setting specific tones, formats, or contextual parameters that apply to all threads within the Space. This eliminates the need to repeat instructions for each query, streamlining workflows and maintaining consistency across the project.
The tutorial also covers profile customization, emphasizing the importance of updating user information such as introductions and locations to foster better collaboration and personalization. The instructor briefly shows how to leverage ChatGPT to assist with answering questions, demonstrating an integrated approach to content creation and problem-solving. By combining Spaces with personalized AI settings and profile customization, users can create dedicated, organized hubs that support efficient research, content development, and teamwork. This foundational knowledge empowers users to harness Perplexity AI’s full potential for managing complex projects and collaborative environments.
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Live Example Profile Completion Questions for the Pro Version
The strategic use of ChatGPT’s memory function combined with Perplexity AI to efficiently answer questions and complete a user profile. The instructor begins by explaining the importance of having prior interaction history with ChatGPT, as its memory feature allows the AI to recall past conversations and provide more contextualized, accurate responses. For users without this stored memory, the tutorial notes that Perplexity AI remains a powerful alternative for answering questions effectively. This dual approach ensures that users can maximize their AI tools regardless of their ChatGPT usage history.
The tutorial demonstrates a workflow where questions are first answered using Perplexity AI by copying and pasting questions into its dialogue box. After receiving answers, Perplexity generates additional questions, which are then screenshotted and transferred back to ChatGPT. By informing ChatGPT of the new questions and referencing the uploaded image, the AI can provide detailed answers within the context of the ongoing conversation. This method leverages the strengths of both platforms—Perplexity’s real-time search and ChatGPT’s conversational memory—to create a comprehensive and dynamic question-answering process.
Finally, the video shows how this integrated approach culminates in the completion of a detailed user profile, ready for further work within the example project. This seamless collaboration between AI tools not only enhances productivity but also showcases how combining multiple AI capabilities can lead to more thorough and accurate outcomes. The tutorial encourages users to adopt such hybrid workflows to optimize their AI-assisted research and content creation tasks.
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Live Example Create a Threed in a Space
A detailed walkthrough on how to upload files into Perplexity AI Spaces and leverage them alongside web data to generate more accurate and context-rich content. The instructor begins by demonstrating how to add files directly from the user’s hard drive into the Space, noting that users can upload up to 50 documents, each with a maximum size of 25 megabytes. This feature enables users to provide Perplexity’s AI model with specific content that can guide and refine its responses, making the AI-generated output more relevant and tailored to the user’s project needs.
Once the files are uploaded, the tutorial highlights the advantage of the Pro version of Perplexity AI, which allows simultaneous access to both uploaded files and web sources during the content generation process. This dual access significantly enhances the AI’s ability to provide comprehensive answers by combining personalized documents with real-time information from the internet. Users can start their queries by selecting a specific source or by querying across all available data, including the uploaded files and web content. Additionally, files such as images, text documents, and PDFs can be attached directly within the conversation thread, providing even more flexibility in how users interact with the AI.
The video concludes by showing how to submit queries and wait for Perplexity AI to generate responses based on the combined data sources. Although the response generation is not instantaneous, it is described as relatively fast, delivering well-informed answers that serve as a solid foundation for further content development. This process empowers users to create more accurate, data-driven content by integrating their own resources with external knowledge, making Perplexity AI Spaces a powerful tool for research, writing, and project management.
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Create a Written Piece
The process of leveraging Perplexity AI’s Claude 3.5 Sonnet model for writing tasks, focusing on generating outlines and transforming them into article formats. The instructor begins by navigating to the writing tab within the Perplexity AI interface and verifying that the Claude 3.5 Sonnet model is selected. This model is known for its advanced natural language processing capabilities, making it well-suited for content creation and refinement. The tutorial emphasizes the importance of setting the right model before starting any writing project to ensure the best output quality.
The tutorial then demonstrates how to change the focus to writing and request an outline on a specific topic. Users are shown how to paste in text and make slight modifications to tailor the prompt. Additionally, the video highlights the ability to upload various file types such as images, text, or PDFs to provide context and source material for the AI. Once the input is set, Perplexity begins generating the requested content. A notable feature is that the AI incorporates elements from the user’s personalized profile, if available, to align the writing style with the user’s preferences. This personalization enhances the relevance and tone of the generated content.
Finally, the tutorial explains that the initial output is often an outline rather than a full article. To create a more polished piece, users can ask Perplexity to rewrite the outline into an article format, transforming the structured points into coherent, flowing prose. This two-step approach starting with an outline and then expanding it provides a flexible and efficient workflow for content creation. The video concludes by encouraging users to explore these features further in upcoming lessons, empowering them to produce high-quality written content using AI assistance.
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Fine Tune A Written Piece
The rewrite command feature in Perplexity AI, demonstrating how users can iteratively improve AI-generated content by selecting different models and refining prompts. The instructor begins by explaining that when you use the rewrite command, Perplexity asks which model to use for rewriting. In one example, rewriting with a different model initially produced an outline rather than a full article. To address this, the user provided a follow-up prompt, instructing Perplexity to write the content as a blog post. This adjustment, combined with incorporating the user’s personal profile, resulted in a longer, more coherent blog post stored within the user’s Space. This highlights the importance of clear, specific instructions and profile personalization in guiding AI writing outputs.
Next, the tutorial explores how to generate content based solely on uploaded files rather than web sources. The user detaches the web as a source and instructs Perplexity to rewrite the same prompt using only the documents uploaded to the Space. This approach ensures that the AI’s writing is grounded in verified, user-provided materials, enhancing accuracy and relevance. However, the generated article contained a misspelling of a key term (“application”), which the instructor promptly corrects by asking Perplexity to rewrite the article with the correct spelling. This demonstrates the iterative nature of working with AI chatbots, where users can refine and improve outputs through successive prompts and corrections.
Overall, the video emphasizes that Perplexity AI functions like other chatbots, requiring users to engage in an interactive, iterative process to achieve the best results. By combining model selection, prompt refinement, and source-specific content generation, users can create highly accurate and tailored information products. This method not only improves content quality but also leverages the full potential of AI-assisted writing by integrating user expertise and uploaded resources.
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Using Incognito Mode
The Incognito Mode feature available to users with a Perplexity AI Pro account, offering a way to interact with the AI anonymously and temporarily. The instructor explains how to activate Incognito Mode by navigating to the account area and switching on this privacy-focused setting. In this mode, users can start new threads from the home button, which are labeled as anonymous threads. These threads differ from regular ones in that they do not appear in the user’s library and expire automatically after 24 hours, ensuring that sensitive or temporary interactions remain private and ephemeral.
Despite operating anonymously, Incognito Mode still allows users to customize their AI interaction experience. Users can set preferences for how they want to engage with Perplexity during the session, including selecting specific AI models for tasks such as rewriting content. The tutorial highlights that Incognito Mode supports multimodal capabilities, meaning users can still use advanced features like image rewriting or other input types. Interestingly, even though users are anonymous in this mode, some elements of their personal profile may still influence the AI’s output, such as writing style or preferences, providing a personalized yet private experience.
A key limitation of Incognito Mode is that users cannot save content generated during the session within their account. However, the platform provides an alternative by allowing users to create shareable links to the content they generate, enabling easy sharing without compromising anonymity or permanence. This feature is particularly useful for users who want to experiment, seek quick answers, or collaborate temporarily without leaving a lasting record in their account. Overall, Incognito Mode offers a flexible balance between privacy and functionality, empowering Pro users to engage with Perplexity AI on their own terms.
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Work with HTML Code
How Perplexity AI can be used to read, interpret, and rewrite HTML files, making it a valuable tool for developers and content creators who work with web code. The instructor begins by showing how to upload an HTML file into Perplexity, then request the AI to rewrite or modify the HTML content based on specific instructions. This process allows users to quickly generate updated HTML code that can be copied and pasted directly into their existing files, streamlining workflows and reducing manual coding effort. The video emphasizes that Perplexity’s ability to understand and generate code depends on the clarity of the user’s requests and their familiarity with coding languages.
The tutorial also highlights the iterative nature of working with AI for coding tasks. For example, when the initial rewrite did not perfectly format the HTML as expected, the user followed up with additional prompts to refine the output, ensuring the code was properly structured for easy integration. This iterative approach shows how Perplexity can assist both novice and experienced coders by providing incremental improvements and tailored code snippets, making it a flexible assistant for a variety of programming needs. The AI’s capacity to handle not only content changes but also code formatting enhances its utility in web development projects.
Beyond rewriting, Perplexity AI can generate new HTML templates, embed CSS styles, and help with debugging or code reviews, as supported by user experiences and external reports. This makes it a powerful companion for tasks like creating email templates, landing pages, or other web components. The video concludes by encouraging users to experiment with Perplexity’s coding capabilities, noting that the AI adapts to different languages and coding styles depending on user input and project requirements. Mastering these features can significantly speed up web development and content management workflows.
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