Every answer is reviewed
Each model output is read by an independent layer that forms its own judgment — separate from, and not influenced by, the model that produced the answer.
Product
A pre-action checkpoint for what your agent does next.
Before an agent’s output becomes an action — a merge, a tool call, a payment, a report — QSI verifies whether the agent can be trusted with that next step, flags the ones that are not safe, and fails open. We don’t verify a human — we verify whether the agent can be trusted with the next step.
Risky outputs are flagged
Answers that are likely incorrect are surfaced with a calibrated confidence, so your team and your systems know exactly which results to hold back.
Trustworthy outputs pass through
When an answer reads as reliable, QSI gets out of the way. No friction on the outputs that were going to be right anyway.
Fail-open, always
If QSI is uncertain or unavailable, the answer flows through untouched. It is a checkpoint, not a chokepoint — it never adds a new way for your product to break.
Architecture
It runs beside inference — not in front of it.
QSI sits off the critical path. Requests reach your model and responses reach your users exactly as they do today. QSI observes each answer in parallel and attaches a verdict. The user-facing path is never gated by QSI being fast, available, or certain.
That is the whole posture: add a layer of judgment, subtract zero reliability.
Fail-open, explained
The safest checkpoint is one that can never take you down.
Most controls you bolt onto inference are gates: if they break, your product breaks. QSI is built the opposite way.
If QSI is confident
It flags likely-wrong answers and passes the trustworthy ones — exactly the value you bought it for.
If QSI is unsure
The answer flows through as a calm, neutral fail-open — never marked as an error; if unsure, QSI passes it through unchanged.
If QSI is unavailable
Your inference path is unaffected. QSI being down is invisible to your users by design.
Where it fits
One layer, wherever answers leave a model.
Checks the work is really done
QSI reads the agent’s plan and the structured signals of what it actually did — not your prompts or content — and catches a “done” that skipped a required step or its evidence.
Flags answers likely to be wrong
A separate review reads the final answer and surfaces the ones that are probably incorrect, with a confidence score, before they ship.
Fails open by design
If QSI is ever unsure, late, or unavailable, the output flows through untouched — a checkpoint, never a new single point of failure.
Put a pre-action checkpoint over your agents — without adding a way to fail.
See QSI review live answers across your models and domains.