Verifiability
Proof-oriented infrastructure that turns ‘looks good’ into evidence an agent can act on.
EN
Infrastructure for software-building agents —
AI systems
that doubt.
We build deterministic verification, interpretability, and testing infrastructure for the agents writing tomorrow’s software.
Verifier onlineConfidence: earned, not assumed
01 / COMPLEXITY
Entropy whispers. Then it sends an invoice.
Software complexity compounds nonlinearly and hides well in the early days. Left alone, it makes every future change slower, riskier, and more expensive.
Advanced testing and verification bend that curve. The bigger the system, the more dramatic the payoff.
COMPLEXITY / CHANGE COSTMODEL 04.35
More intelligence deserves more resistance.
Agents can ship more work than human-era systems were designed to inspect. Old feedback loops become bottlenecks. Quiet mistakes become architecture.
Our answer is not to slow agents down. It is to pair them with rigorous systems that question every result, point to concrete problems, and demand another pass when the evidence is weak.
Techniques once dismissed as too expensive become ordinary when labor is no longer the constraint. That changes the economics of correctness—and the possible scale of software itself.
03 / CONTAINMENT
Hold the plasma. Aim the power.
Agents are innately nondeterministic. That is part of their power—and exactly why they need a field around them.
Deterministic verification stabilizes that energy like magnetic confinement in a tokamak: containing it, shaping it, and turning raw force into useful work without pretending the plasma has become predictable.
agent variance×deterministic checks=directed capability
agent variance×deterministic checks=directed capability
04 / WHAT WE BUILD
A skeptical layer for the agentic stack.
Interpretability
Human-scale explanations for machine-scale output—what changed and why.
Testing at agent speed
Fast, deterministic checks built for workers that never get tired and rarely stop at one attempt.
05 / SCALE
Local when you need it. Distributed when you mean it.
Verification throughput should never be capped by one machine. Our systems are designed to spread work across many workers without giving up the ability to run anywhere—even on a laptop, offline, under your desk.
- 01 Same checks, any topology
- 02 Deterministic results across workers
- 03 Scale without changing the mental model
01Better product
02Faster tests
03Sharper signals
04Smarter agents
LOOP
GAINS
GAINS
06 / FEEDBACK
Good systems make each other better.
Great tests do more than catch bugs. They expose unstable surfaces and guide agents toward stronger designs.
Better products make tests faster and more precise. Better tests create better signals. Better signals train better decisions. The loop gains power when every part is built to cooperate.
“Verification is not a gate. It is a conversation with consequences.”
Humans and robots can coexist.
But only when both can rely on checks that are powerful, distributed, deterministic—and legible to the people accountable for the outcome.
Latest field notes
the-mutation-testing-digest-for-july-2026
The mutation-testing digest for July 2026
Survivors as Work Orders, Scores Under Audit Read the field note ↗︎the-mutation-testing-digest-for-june-2026
The mutation-testing digest for June 2026
Mutant Chess, Perfect Scores, and June’s Tool Spree Read the field note ↗︎CONTACT / NO SMALL TALK REQUIRED
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