Building agent-first infrastructure, trading systems, and backend platforms.
- AI Agent Infrastructure — Multi-agent orchestration, skills, memory systems, benchmarks
- Trading Systems — Real-time market analysis and execution
- Open Source — teams-field-guide ・ codex-partner ・ proofpack
Automate the work. Never automate the accountability.
AI leverage compounds. Build the rails now, or pay for drift forever.
Don't patch old workflows with agents. Rebuild from the assumption that agents act, and humans govern.
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 |
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|---|---|---|
| 1. Delegate by default | 4. Atomic changes, bounded scope | 7. Blast radius scales with the agent |
| 2. Context is a product | 5. Standards are machine gates | 8. Deterministic environment |
| 3. Tests as contracts | 6. Living project memory | 9. Feedback loops close the system |
10. Humans own outcomes. "The agent did it" is not an excuse.
✗ No RPA development ✗ No vibe merges
✗ No lazy context ✗ No silent autonomy
machine-first :: not human-first + AI bolt-on · source of truth :: code, schemas, CI state · human UI :: projection, not the source
