Step-by-step workflows from real experts. Each workflow includes prompts, code snippets, and practical tips.
Use an AI agent to digitize curriculum books from photos, automatically generate structured lesson plans, and create custom learning materials like watercolor illustrations. This saves hours of manual data entry and creative work.
Build a Zapier workflow that automatically triggers on new calendar events, fetches customer data, uses Google's Gemini to summarize it, and delivers a complete brief to your meeting notes in Coda.
Speed up your development workflow by creating shortcuts for frequent AI commands using shell aliases and building dedicated command-line tools to script complex, repetitive AI tasks.
Use Repo Prompt to gain surgical control over your AI's context. This workflow shows you how to manually select specific code files, combine them with a detailed prompt and a persona, and generate a highly-contextualized input for an LLM like Claude or Gemini.
Create a practical application that automatically catalogs your books by analyzing a video of your collection using Gemini Flash and Google AI Studio, then deploy it with Cloud Run to make it shareable.
When a single AI model is stuck or not providing the output you want, use this simple but effective technique. Make two different AI models compete against each other to produce a more accurate and refined result.
Build a highly efficient, AI-powered personal operating system by centralizing all your business context—notes, data, and prompts—into a GitHub monorepo. This allows AI assistants like Claude or Gemini to consistently and accurately automate complex tasks like writing proposals and creating content.
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