All Upcoming Classes

Critical Thinking and Creativity with AI

Critical Thinking and Creativity with AI

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.

with Liz Howard

Intro to Agents: 1-Day Intensive

Intro to Agents: 1-Day Intensive

- 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 FAISS and 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

with Liz Howard

Intro to Agents: 1-Day Intensive

Intro to Agents: 1-Day Intensive

- 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 FAISS and 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

with Liz Howard

Production Agent Engineering

Production Agent Engineering

- Write effective system prompts for regularized outputs or tool use - Design and implement agents capable of using, creating, and managing tools - Develop agents with autonomous action capabilities, including scheduling and event-triggered responses - Utilize open-source tool hubs designed for Large Language Models - Manage and economically host large vector stores - Construct self-improving agents that can evolve their prompts - Create and manage swarms of agents collaborating on complex goals - Design meta-swarms and information hierarchies for advanced agent collaboration and secrecy - Evaluate and create benchmarks for LLM performance analysis

with Liz Howard