Foundations01
Trustworthy Autonomy
Trust is not a personality trait of the model. It is a property of the system surrounding it.
Field notes · Edition 0.1
Systems should earn the authority we give them.
I work on autonomous systems, agent infrastructure, and reliable software. These are field notes on how agents know what to do, prove what they did, and improve from what happened next.
Read the writingA dependable decision system
Trustis earned
01EvidenceWhat do we know?
02JudgmentWhat does it mean?
03ActionWhat may we do?
04MemoryWhat changed?
Autonomous systemsAgent infrastructureRollout intelligenceReliable software
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All writing
Featured writing
Agent infrastructure02
The Agent Harness Is the Product
The model supplies general intelligence. The harness turns that intelligence into dependable work in a particular world.
Rollout intelligence03
Rollouts Are Decision Problems
A rollout reviewer should not merely detect anomalies. It should decide what the available evidence justifies doing next.
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All notes
Recent notes
What does “good” mean for an agent?AI exposes how much of quality was previously implicit infrastructure.
4 min
Skills aren’t policiesProcedure, authority, and enforcement are different concerns.
3 min
Memory should accumulate judgmentTranscripts preserve history. Useful memory changes the next decision.
3 min
Context engineering vs. harness engineeringContext makes the world legible; the harness makes action dependable.
3 min
Why agent verifiers failA second model does not automatically create independent assurance.
3 min
03 / A working philosophy
“Evidence before verdicts. Authority with boundaries. Outcomes as the final evaluator.”Explore the principles
04
Open notebook
Currently thinking about
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Can trustworthy autonomy emerge from the harness instead of a prescribed reasoning schema?
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