Stop copy-pasting between models

There's no escape from the one model that gets it wrong — until now.

Every AI tool today makes you bet on a single central model. When it's confidently wrong, catching that is your job. Noolog is the mechanism that changes it: convene several models, make them debate, and get back every result, a convergence score, the best option, the full deliberation, every objection, and the exact vectors of conflict. You make the call — on evidence, not vibes.

Noolog deliberation feed: 91% convergence over 3 rounds. PrioBot's 'ship the release gate now behind a staged canary with one-click rollback' wins on quadratic-vote scores; RiskBot's dissent and a contested delay-cost claim stay on record, alongside a Final Decision panel and a tamper-evident provenance chain. — **The deliberation feed** — every proposal, claim verdict and evaluation, round by round. Convergence 91%, winner picked, the dissent kept on record.

Final consensus view: the final deliverable plus a traceability table mapping each claim to its origin round, author, hash and settled verdict — verified or contested. — **Final consensus** — the deliverable, plus every claim traced to who said it and whether it held.

Every debate is a tamper-evident, chained record — convergence, dissent and provenance by construction. That's what makes the decision defensible after the fact.

See how it maps to the regs →

The console above is the real app — built entirely in open-source Slint, statically typed and compiled to native Rust with no runtime to trust, engineered to the standards that certify safety-critical UIs. See compliance →

Stop copy-pasting between models. Let them converge.

There's no escape from the one model that gets it wrong — until now.

Stop guessing which model to trust. Watch them converge.