Built a multi-agent system that turns stakeholder requests into structured SAFe feature specs, and learned hard lessons about string surgery on structured outputs.
multi-agent, structured-output, prompt-engineering, evaluation
Journal
Weekly entries from a six-month AI product development program.
Built a full RAG pipeline from embeddings to deployed Knowledge Assistant, learning why grounding AI in your own data changes everything.
rag, embeddings, chromadb, deployment
A deep week building multi-agent systems, resilience libraries, and cost optimization tools, shifting from individual AI components to production-grade AI product architecture.
multi-agent, tool-use, function-calling, resilience, cost-optimization, prompt-engineering, asyncio, model-routing
Built a progression from calculator tool to autonomous research agent, and learned that resilience code, context management, and bounded workflows aren't optional — they're load-bearing.
tool-use, agents, python, context-window, prompt-engineering, error-handling
Hands-on experiments with tokens, context windows, streaming, and prompting techniques reveal that AI product management requires an entirely new economic mental model.
tokens, context-window, prompt-engineering, streaming, python, rate-limits, product-management
A non-engineer sets up a Python dev environment, generates an API key, and makes a first Claude API call — and discovers that vibe-coding has limits.
python, anthropic-sdk, dev-environment, cli, api