Harness engineering is control theory for a stochastic component
You cannot make a language model deterministic. So you do what control engineers do with any noisy plant: wrap it in a controller. The model is the plant; the harness is the controller; the reliability lives in the controller.
Read the essay →Everyone told me to write loops. The loop was the part that didn't matter.
"Stop prompting, write loops" went viral this month, so I rebuilt my whole agent stack around it — and learned the hard way that the loop is the ten percent anyone can copy and the verification is the ninety percent that decides whether you ship or burn.
Read the essay →Silent retries don't fix the bug. They hide it from you.
A retry that quietly turns red into green doesn't heal a flaky agent — it deletes the evidence and flattens your dashboard into a lie.
Read the essay →Your agent needs a state machine, not a while-loop
Most agents are an opaque think-act loop that can't be paused, audited, or stopped before an irreversible action lands
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Attest: a verifiable DBOM that proves what a model was trained on
Attest: a verifiable Data Bill of Materials that proves what a model was trained on Don't sell blockchain — sell defensible compliance. Attest retrofits onto messy pipelines, signs each training source as-is, and emits a per-model DBOM an auditor independentl…
Agents don't get dumber — their context rots
A model that aces a clean prompt collapses across a long run because the context decayed, not the model
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Tether: portable, user-owned AI memory you scope per tool
The value isn't storage — it's scoped, provable consent: your context lives in storage you own, client-side encrypted, and you grant each AI tool only the slice you choose with a live audit of what it…
Durable agents: event-source the run so a crash resumes mid-thought
A crash at step 40 of 50 should resume mid-thought, not redo 39 steps or charge a card twice
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Rudder: an inline supervisor that catches and corrects drifting AI agents
mid-run Detection is commodity; Rudder closes the loop in real time — a drop-in proxy that scores each agent step against its goal and auto-injects a correction the instant it drifts, f…