Completed work reviewed by machine consensus
Multiple independent Nodes review the same thing. Only matching decisions count.
Eliminates manual review and repetitive QA checks.
No missed issues. No single-point decisions.
Get early access- More precise review
- Fewer incorrect approvals
- A clearer picture of finished work
How work review is decided
Three clear steps from completed work to accepted review.
- 1
The completed work enters review
Completed work enters the review queue.
- 2
Independent Nodes review it
Several independent Nodes review the same work and reach their own decision.
- 3
Only matching decisions are accepted
When the Nodes agree, the decision is accepted and written to the audit trail.
A verification round
Three Validator Nodes review the same completed work - only matching decisions are accepted.
Validator Nodes
5 Validator Nodes run in parallel in the background - 3 shown here for visual clarity.
Consensus Result
Rule example: at least 3 of 5 Validator Nodes must agree before the review is accepted.
How Validator Nodes review completed work
- Every Validator Node reviews the same completed work
- Every Validator Node applies the same review rules
- Validator Nodes run in isolation and do not share intermediate state
- No single Validator Node's decision is accepted alone
- Validator Node decisions are compared against each other
- Any divergent review is rejected
- Audit trail entry can be created safely
Final action
- Task status: Reviewed
- Decision recorded in the audit trail
Why this review model holds up
Three principles keep every review round trustworthy.
Deterministic
Same work, same rules, same decision - every run.
Auditable
Every review decision writes an immutable audit trail entry.
Consensus-backed
No single Node decides - multiple Nodes must agree before a decision is accepted.
Projects where this model is already in use
Internal systems, delivery environments, and task-based workflows where this model is live.
See the real state of completed work
We're onboarding pilot teams before the public rollout.
