The Multiverse School

- How to build agents using the ReACT pattern (Reason, Act, Observe) - Request-response agents with Claude Agent SDK and OpenAI Agents SDK - RAG implementation with pgvector for retrieval - Building your own minimal agent framework (~140 lines of code) - Multi-agent coordination patterns (sequential, parallel, hierarchical) - Framework comparison: Autogen, LangGraph, OpenAI Swarm - When to use agents vs. simple prompts and common pitfalls

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- How to actually keep a budget - How to reduce costs and keep them under control - It's also a space and time to do this together

You'll configure an AI assistant with persistent memory and preferences, then put it through critical thinking boot camp. Learn to write prompts with specific evaluative criteria that get consistent results, practice divergent thinking exercises to offset AI's tendency to narrow creativity, and question your own assumptions about story, character, and style. Build a complete story framework using the Story Circle method, develop distinct character voices, and create a Director system that orchestrates multiple AI agents like a creative team. Master the art of managing artificial collaborators - knowing when to trust their output, when to push back, and how to maintain your unique creative voice. By the end, you'll have working character agents that can write full scenes in your style, plus the critical thinking frameworks to keep improving them. Perfect for writers who want AI superpowers without becoming generic.

- How to automate the entire SDLC with AI agents - Techniques for making AI agents feel natural in your workflow - Moving beyond test generation to full process automation - Strategies for shipping well-tuned processes instead of org charts - How to avoid common pitfalls when integrating AI into development