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EVAN GONG / FIELD NOTES

BLOG

Notes on building AI agents, physical systems, and the tools that connect ideas to something real.

01

Selected notes

Building an Agent That Learns From Its Work cover
Aug 1, 20267 min read

Building an Agent That Learns From Its Work

OpenKyrozen is an experiment in making an AI agent improve through the work it already performs.

AIAgentsSystems
↗
Teaching a Card Game Agent to Think in States cover
Jul 18, 20268 min read

Teaching a Card Game Agent to Think in States

Kards AI turns a complex card game into a deterministic environment for simulation, self-play, and reinforcement-learning research.

AIReinforcement LearningSimulation
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Giving AI Agents a Safe Path to Real Hardware cover
Jun 30, 20268 min read

Giving AI Agents a Safe Path to Real Hardware

Hardware Agent Runtime connects external coding agents to embedded devices through observable, verifiable hardware-in-the-loop workflows.

HardwareAgentsESP32
↗
02

All field notes

2026

Building an Agent That Learns From Its Work cover
Aug 1, 20267 min read

Building an Agent That Learns From Its Work

OpenKyrozen is an experiment in making an AI agent improve through the work it already performs.

AIAgentsSystems
↗
Teaching a Card Game Agent to Think in States cover
Jul 18, 20268 min read

Teaching a Card Game Agent to Think in States

Kards AI turns a complex card game into a deterministic environment for simulation, self-play, and reinforcement-learning research.

AIReinforcement LearningSimulation
↗
Giving AI Agents a Safe Path to Real Hardware cover
Jun 30, 20268 min read

Giving AI Agents a Safe Path to Real Hardware

Hardware Agent Runtime connects external coding agents to embedded devices through observable, verifiable hardware-in-the-loop workflows.

HardwareAgentsESP32
↗