AI
Agentic Systems: Learning Loop
How businesses turn domain outcomes, production traces, and private evals into better AI decisions and a lower cost per successful outcome.
George Chiramattel
Ann Catherine Jose5 minThe blog
Field Notes
Practical insights from what we learn as we build with AI and ship real software.
George ChiramattelAnn Catherine Jose5 minAI
Agentic Systems: Ownership Boundaries
How to use agents for flexible business process automation while keeping domain state, policy, approvals, and outcomes under application control.
George ChiramattelAnn Catherine Jose5 minAI
Agentic Systems: Abstraction Layers
A guide to model providers, SDKs, AI gateways, agent runtimes, and channels, with a mental model for choosing which layers your application needs.
George ChiramattelAnn Catherine Jose5 minAI
Agentic Systems: Autonomy Spectrum
A practical map of LLM and agent architectures, from single model calls to proactive systems, with a framework for choosing the minimum autonomy each task requires.
Ann Catherine JoseGeorge Chiramattel5 minAI
Mental models for working with coding agents
Model intelligence sets the ceiling. Your workflow with the agent harness sets what you actually ship.
George Chiramattel9 minAI
Agentic Coding In Practice
How I build features with AI agents after two years of agentic coding
Ann Catherine Jose5 min