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Below is a brief description of the lessons included:

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• Working with Unstructured Prompts: In this lesson, you will learn how to work with unstructured prompts in ChatGPT, iterating your input to refine the output. You will explore the latest model's features, including the Canvas tool, which allows for side-by-side text manipulation. By the end, you'll understand how to interact with ChatGPT for specific elements using unstructured prompts
• Using Canvas to Edit in ChatGPT: This lesson teaches you how to utilize the ChatGPT Canvas tool to make changes to content without the need for structured prompts. You'll learn how to adjust the length of content, change its reading level, and apply final polish—all within the editing panel of ChatGPT. By the end, you'll be able to efficiently edit documents inside ChatGPT
• Customizing Output with WYSIWYG Editor: In this lesson, you will discover how to further customize your ChatGPT output using the WYSIWYG editor. You’ll learn how to format text, such as making it bold or italicized, change font sizes, and fine-tune the document for better visual representation. This enables you to have greater control over the final output
• Interacting with Content via Audio: Here, you will learn how to interact with ChatGPT content using audio, particularly from a mobile device. The lesson covers using real-time conversational audio tools and the read-aloud feature, allowing you to listen to your content. You'll also be introduced to GPT extensions, which expand ChatGPT's capabilities
• Unstructured Prompts with Meta AI: This lesson introduces Meta AI, showing how to use unstructured prompts similarly to ChatGPT. You'll learn how to input prompts, evaluate Meta's logic, and refine content based on output. By the end, you’ll understand how Meta AI compares to ChatGPT in handling unstructured content
• Using Meta’s Simple Editing Tools: In this lesson, you will learn how to use Meta’s simple editing tools, including the "remix" feature, to generate variations of your content. You'll apply different formatting effects, such as blog posts, and toggle between content versions. This tool enables easy content reformatting and saving work for future use​
• Meta Output Options: This lesson teaches you the output options available in Meta AI. You’ll learn how to copy content to your clipboard and paste it into word processing tools with flexible formatting options. Additionally, you’ll explore how to manage revisions, track versions, and regenerate content, providing multiple ways to refine and output your work​
• Special Mention: Meta Experimental Features: In this lesson, you will explore Meta AI’s experimental features, such as creating AI-generated audio stories. You’ll learn how to access these special features and use them creatively, noting that the available options may change over time​
• Unstructured Prompts with Perplexity AI: This lesson introduces Perplexity AI and its free version’s capabilities. You will learn how to input unstructured prompts, review the chatbot’s response process, and manage formatting when transferring content into word processing tools. By the end, you'll understand how to utilize Perplexity AI effectively for content generation​
• Perplexity AI Editing Tools: In this lesson, you’ll learn how to use the editing tools available in Perplexity AI. You’ll explore how to rewrite entire documents using various models, including Perplexity’s Sonar model. The lesson also covers expanding content using related questions and topics provided by the AI​
• Perplexity Output Options: This lesson explains how to output your content from Perplexity AI. You’ll learn about options like copying and pasting content while maintaining formatting, and managing sources used by Perplexity. You’ll also discover how to remove specific sources to control the final output, and how Perplexity regenerates content based on those changes
• Special Mention: Perplexity Research Capabilities: In this lesson, you will explore Perplexity AI’s special features as a research tool. You’ll learn how to search for images related to your topic, generate custom images, and set a focus for your queries, such as academic or general, to tailor content generation. These features enhance the research aspect of Perplexity​
• Unstructured Prompts with Gemini AI: This lesson introduces Google's Gemini AI. You will learn how to work with unstructured prompts using Gemini’s free and paid versions. The lesson covers how Gemini generates step-by-step instructions and article content based on your prompts, with tools to fine-tune the length and format of the output
• Gemini AI Editing Tools: In this lesson, you will learn about the editing tools in Gemini AI. You’ll explore features like viewing multiple drafts of content, regenerating responses, and modifying responses for length, simplicity, or tone (e.g., casual or professional). This gives you flexible control over content without the need for additional prompts​
• Gemini Output Options: This lesson covers the different ways to export and share content from Gemini AI. You’ll learn how to use Google tools to send content via Gmail, export to Google Docs, and even create a public link for sharing documents. These output options are integrated with Google services, making them easy to access and use
• Special Mention: Gemini Audio Interaction: In this lesson, you will explore Gemini’s capacity for audio interaction. You’ll learn how to listen to Google’s generated answers and input queries via microphone. This feature allows for both audible input and output, enhancing user interaction with the platform​
• Unstructured Prompts with Claude AI: This lesson introduces Claude AI’s unstructured prompts. You will learn how to input queries and use different models, including those designed for complex tasks. The lesson also demonstrates how Claude produces content in a split-screen format, showing both instructions and output, which can be downloaded for further use
• Claude AI Editing Tools: This lesson explains Claude’s editing tools, or lack thereof. You’ll learn how to use prompts to request changes, which are shown in a split-screen format called artifacts. Although direct editing tools are unavailable, you can see each revision as a separate artifact and toggle between versions to manage your content​
• Claude Output Options: In this lesson, you will learn about the various output options available in Claude AI. You’ll discover how to copy content, download it as a markdown file, or publish it for public sharing. The lesson also covers how to make documents private again if needed​
• Special Mention: Claude Artifacts: This lesson highlights the flexibility of Claude’s artifact feature. You’ll learn how artifacts can generate not only text but also code, snippets, and website designs. The lesson demonstrates how Claude can handle complex tasks like creating interactive websites or visual content, including mind maps and infographics
• Conclusion: Overall Analysis with NotebookLM: In this concluding lesson, you will learn how to conduct a meta-analysis using NotebookLM. You’ll explore how to upload documents to various chatbots for analysis and then use a consistent prompt to generate insights. The lesson demonstrates how to compile these analyses into NotebookLM to synthesize your research and make well-rounded conclusions​

The New Marketer's Workshop Volume 13 provides a comprehensive guide to using various AI tools for content generation, editing, and analysis. You will learn how to work with unstructured prompts and explore advanced features of AI platforms like ChatGPT, Meta, Perplexity, Gemini, and Claude. The course covers editing and formatting tools within these platforms, along with unique capabilities such as audio interaction, artifact generation, and specialized research tools. It also delves into various output options, including file downloads, public sharing, and integration with word processing tools. In the final section, you’ll learn how to synthesize insights using meta-analysis techniques through NotebookLM, enhancing your ability to analyze and improve your documents across multiple AI systems.

This course is designed to help users leverage AI technology for more efficient content creation and editing, whether you're generating written documents, refining them, or conducting complex research.

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