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Honest review

AI that does the whole job, and says when it has not.

Models can cut corners: skip a step, sound surer than they are, or stop early. Honest review samples their work, has it checked by other models and by people, and flags patterns before they spread. When a run goes wrong, it is put right before anyone acts on it.

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Work sampled and reviewedReviewers checked against peopleFixes approved by a person
nexus · honest review at a glanceSample data
Whether the models are doing honest, complete work today
Honest review at a glance. Seeing whether the models are doing honest, complete work today, and where they are not.Sample data
How reviews happen

Reviewed often enough to catch problems early.

Set how often each kind of work is reviewed, what always triggers a review, and who does the reviewing. Results arrive live, so a pattern can be caught before it spreads.

When reviews happen

  • Sampling per kind of work
  • Triggers that always start a review
  • Reviewers chosen per task
nexus · when reviews happen and who reviewsSample data
How often work is reviewed and what triggers a review
When reviews happen. Setting how often each kind of work is reviewed.Sample data
Fixes

Put right before anyone acts on it.

When a run stops early or skips a step, review catches it and the work is corrected while it is still running. Suggested changes to prompts and skills wait for a person.

A fix while work is running

  • Caught during the run
  • Corrected before filing
  • The fix recorded
nexus · a fix while work is runningSample data
A run that stopped early and was put right
A fix while work is running. Following a customs run that stopped early and was put right.Sample data
Trusting the reviewers

The reviewers are reviewed too.

Reviewer models are checked against people’s judgement, and test cases with known answers are planted among real work to see whether reviews catch them.

How far to trust each reviewer

  • Agreement with people measured
  • Reviewers retired if they drift
  • Shown per task
nexus · how far to trust each reviewerSample data
How often reviewer models agree with people
How far to trust each reviewer. Checking that the reviewer models agree with people often enough.Sample data
For the person asking

See which answers were reviewed.

Anyone can see which of their answers were reviewed, and ask for a review of one that looks wrong, on the console or on their phone.

  • Reviewed answers marked
  • Ask for a review in one click
  • Works on the phone too
nexus · reviewed answers, for the person askingSample data
Which answers were reviewed, for the person who asked
Reviewed answers. Seeing which answers were reviewed, and asking for a review of one.Sample data
Questions

About honest review.

Does review slow answers down?

No. Most reviews happen after the answer, on a sample. Reviews during a run happen only where you require them.

Does it work offline?

Yes. Honest review works with no outside connection, using the models you have on site.

Go deeper

Go deeper

SentinelWatches every record for fraud and attacks

Sentinel reads every sealed record for fraud patterns, attacks and rule-bending, holds what looks wrong and hands it to a person, and is itself watched.

The AI workforceAgents that earn trust

Owners, limits and an off switch for every AI agent.

Skills and AI buttonsWhat every AI button does, tested and versioned

Every AI button in Nexus runs a skill you can read, test, version and roll back, with checks by a second model and a person before any change goes live.

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See how honest your AI is.

We will review a week of your AI work with you and show what review finds.

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