The second time the same thing breaks, Zenops resolves it in 0.3 seconds for $0.00 — because it has already been fixed, reviewed and approved here before. No model is called at all.
Competitors send every incident to a model, so the 400th identical failure costs exactly what the first one did. Zenops keeps a signed ledger of every fix a human approved — and replays it.
Any team can add a feature in a sprint. None of these is a feature — each one changes where state lives, who is allowed to say yes, or what counts as trusted input.
Every repo starts at T0 Observe with no permissions. Autonomy graduates only against evidence — ≥20 attempts, ≥90% approval, zero reverts — and one revert demotes it a tier.
Competitors ship one global on/off switch, because per-signature graduation needs outcome history they never stored.
A test name, branch or dependency string can contain ignore previous instructions and push to main. Zenops wraps all log content in <untrusted_data> delimiters — and log content can never select a file path or a tool.
Most tools in this category pipe raw log text into the same prompt that holds their tool definitions.
The L3 security reviewer has no code path to approve. It can veto. It cannot unblock. A compromised prompt cannot talk its way into a merge.
Asking one model to critique its own patch is not a control. It's the same model with a different prompt.
Routing is a deterministic lookup on the error signature — so it is reproducible, free, instant, and auditable as a diff in a pull request.
A router LLM adds a model call to every incident, and its decision cannot be explained or replayed.
Attempt two and attempt three re-run from L0. A retry is not a fast path. Attempt three is the last — then the circuit breaker quarantines the signature and pages a human rather than looping forever.
Five SCM and CI adapters normalise into a single canonical incident — so a fix learned in Azure DevOps replays in GitHub. No competitor spans ecosystems, because each is owned by one.
Every approved fix is stored against its error signature. Recurrences replay from precedent at $0.00 with no model call — 61% of all incidents.
See the economics →T0 → T4. Every repo starts with no permissions and graduates per signature on ≥20 attempts, ≥90% approval, zero reverts.
See the ladder →Redaction → patch shape → static scanners → veto-only security model → policy → human. A retry restarts at L0.
See the chain →Confidence-scored error typing, then routing by signature lookup — reproducible, auditable as a diff, and free.
Explore →Ask about any incident in plain language. Answers are shaped from DynamoDB query results only — zero invented fields, and it cannot approve.
Explore →OpenTelemetry GenAI traces, full approval trail with approver ≠ author, and hours-saved tracked rather than estimated.
Explore →Like modern observability platforms, Zenops brings detection, classification, remediation and analytics into a single pane of glass — no context switching.
A fix learned from an Azure DevOps pipeline replays on GitHub. Competitors are locked to their own ecosystem — a fix learned in one never transfers. Zenops keeps a single canonical incident model behind every adapter, so the ledger, the gate chain and your policy apply no matter which tool raised the failure.
The question is what happens the second time the same thing breaks — and who is accountable when it ships. Zenops answers both, and gets cheaper every time you use it.
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Zenops — pipeline failure to $0.00 replay, end to end