Step-by-step Claude workflows from How I AI expert interviews. Each guide includes prompts, code snippets, and practical tips.
Prepare your product for an agent-first world. This workflow explains how to build a Command Line Interface (CLI) that AI agents can use autonomously, even for complex flows that require human interaction like email verification.
Create a powerful review agent in Claude Cowork that simulates a roundtable of advisors with different personas to pressure-test your work and get multi-faceted feedback instantly.
Build a special command for your AI agent that allows you to safely demonstrate its capabilities by anonymizing all personally identifiable information from its output in real-time.
Turn Claude into a product manager to maintain a dynamic feature roadmap. This workflow helps you track, evaluate, and prioritize feature ideas for your project by balancing development effort with potential impact.
Use an AI agent to import live application code into editable Figma files for design collaboration. Then, automatically push the updated Figma designs back into your codebase, creating a seamless loop between design and engineering.
Learn to transform a simple application idea into a professional-grade development blueprint. This workflow guides you through using Claude to generate detailed user stories, define system architecture, and create a phased rollout plan without writing any code.
Offload the mental burden of context switching by creating a dedicated AI assistant in Claude or ChatGPT. This 'second brain' holds all your project context and can even scrape and analyze thousands of customer conversations from sites like Reddit.
Use Spec Kit with an AI assistant like GitHub Copilot to improve the quality of your software specifications. The AI acts as an intelligent partner, analyzing your requirements and asking clarifying questions to help you identify edge cases and ambiguities before development begins.
Transform dense research documents and buyer personas into interactive, conversational AI agents using NotebookLM and custom GPTs. This allows your team to directly query customer personas for real-time insights.
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