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Field notes for people building AI agents.

Library

Field notes for people building AI agents.

All Fundamentals Building Architecture Operations Go-to-Market Monetization

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Architecture·14 min

RAG Deep Dive: Retrieval That Actually Works

Chunking, embeddings, hybrid search, and reranking for domain-specific agent knowledge.

Architecture·11 min

Tool Use & MCP Integrations

How agents call APIs, use MCP servers, and stay secure when acting on user data.

Architecture·13 min

Multi-Agent Orchestration Patterns

Supervisor workers, pipelines, and when one agent is enough.

Architecture

·9 min

Observability & Debugging Agent Failures

Traces, evals, and dashboards that tell you why an agent failed before customers complain.

Architecture·10 min

Agent Memory: Short-Term, Long-Term, and User Profiles

When to remember, what to forget, and how to personalize without leaking data.