Quality · internal system
Adversarial Review
Nothing load-bearing ships on one model's opinion. A rival model is paid to attack it first.
Live
No public endpoint
Review
The problem it solves
Language models are fluent about being wrong. A single model reviewing its own work agrees with itself, and a plausible answer is the most dangerous failure mode there is — it survives exactly as long as nobody checks.
How it works
01
Produce
the first model does the work
→
02
Attack
a different vendor tries to refute it
→
03
Second
an independent senior opinion in parallel
→
04
Synthesise
ship, fix-first or reconsider
→
05
Verify
claims tested against live state, not source-read
Under the hood
- Reviewers come from different vendors on purpose. Two instances of the same model share the same blind spots.
- Where a finding could fail in several ways, each reviewer is given a distinct lens rather than the same brief repeated.
- Convergence between independent vendors is weighted highest; a lone dissent is investigated, not averaged away.
- A delegated agent reporting success is treated as a claim, not a fact — it is verified against the live artifact with real inputs.
Why it matters
The cost of a wrong answer that looked right is paid later, in public. Buying a second opinion up front is the cheapest insurance in the stack.