How I AI
Step-by-step guides with the prompts, tools, and checks from each episode.
286 workflows
Efficiently clean up large databases by identifying and merging duplicate or near-duplicate records. Use a decision model to get confidence scores for potential matches, allowing for automated merging or manual review.
Create a custom, real-time incident command dashboard using ChatGPT Sites. This tool pulls live, user-specific data from Slack, Notion, and Google Calendar to keep you informed without disrupting your engineering team.
Create a fluid, hands-free to-do list that updates instantly as you speak. Use a multi-step classification process to understand commands, match tasks, and execute functions in real-time without needing to pause.
Create an intelligent command bar (Command-K) that not only finds tools but executes actions within them from a single natural language query. Use a layered decision model to route requests to the right app and then to the right function.
Reclaim your music algorithm by building a personal web app on ChatGPT Sites. This workflow automates discovering new music from sources like Reddit and compiles a fresh playlist for you every week.
Build a 3D dungeon crawler and a framework for community contributions. This advanced workflow uses a custom 'skill' in ChatGPT Sites to allow others to build and add new game levels using natural language.
Quickly analyze thousands of YouTube comments for sentiment and new content ideas using the Jev AI model. This workflow helps creators turn audience feedback into actionable insights for their content strategy.
Create a powerful product insights engine by combining Jev with other LLMs. Use Jev for large-scale classification of customer feedback and development data, then apply reasoning models to analyze the structured output for deep insights.
Use the Jev AI model to cheaply and quickly cluster thousands of GitHub pull requests into thematic areas. This helps engineering and product leaders understand the breakdown of work between new features, tech debt, and maintenance.
Go beyond generic icon libraries by prompting an AI model to create custom, characterful SVG icons. This workflow shows how to get unique, well-designed icons for your projects by providing simple, clear descriptions.
Automate your inbox management by using an AI model to summarize incoming emails, identify action items, and draft replies that match your personal communication style. This saves time and helps you focus on what's important.
Systematically evaluate AI models like GPT-6 and Opus 5.5 to find the best fit for your tasks. This blind test method helps you choose tools based on real-world performance and personal preference, not just industry benchmarks.
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