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AI Features

AI Launch Analysis

After every test launch, Qualflare automatically generates an AI analysis of the results — an executive summary, a risk level, the areas that are actually failing, and what to do about it. No manual trigger, no extra CI step.

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Product news and testing tips.

Why it matters

A red report doesn't say what to do next

335 test results tell you what failed. They rarely tell you, on their own, whether it's actually safe to ship.

Triage takes longer than the fix

An engineer spends 20 minutes reading through a launch before finding the one failure that actually matters.

Risk is a gut feeling, not a number

Someone says “this one looks risky” in standup. Nobody can point to why, or compare it to last week's launch.

How it works

Analysis starts the moment a launch's results land and appears on its Overview tab as four independent cards: Executive Summary (with a risk badge), Risk Assessment, Failing Areas (ranked by impact), and Recommendations.

QualflareQualflare
Release Candidate v2.8
Launch #245 · main · production
Executive Summary
high risk

12 of 335 cases failed, concentrated in payment processing and SSO. The payment timeout is new since the last release and should be investigated before this build ships.

Risk Assessment

Failures cluster in a payment-critical path with no clear environmental cause — treat as a release blocker until the root cause is confirmed.

Failing Areas
Payment / checkout(6 failures)

Charge creation times out intermittently against the Stripe sandbox.

SSO redirect(4 failures)

Callback handler occasionally exceeds the 30s threshold under load.

Dashboard rendering(2 failures)

Chart layout shifts on Firefox mobile viewports.

Recommendations
1Investigate the Stripe sandbox timeout before promoting this build — it accounts for 6 of 12 failures.
2Re-run the SSO suite in isolation to confirm the redirect timing issue is load-related, not a regression.
3Low risk to ship the dashboard fix separately; doesn't block this release.

What you get

Automatic, every launch

Analysis runs automatically after each test launch — no manual trigger, no extra CI step.

Executive summary with a risk level

A plain-language summary plus a low / medium / high / critical risk badge, based on the actual failure pattern.

Failing areas, ranked by impact

Failures are grouped by area with an impact rating and failure count, so you know what to look at first.

Actionable recommendations

A numbered list of what to do next — investigate, re-run, or ship — not just a restatement of what failed.

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Frequently asked questions

What is AI Launch Analysis?

AI Launch Analysis is an automatic, AI-generated summary of a test launch's results — an executive summary, a risk level, a breakdown of failing areas, and concrete recommendations — so a launch report answers "is this safe to ship" instead of just listing pass/fail counts.

How is the risk level calculated?

The risk badge (low, medium, high, or critical) is derived from the volume, pattern, and criticality of the failures in that specific launch — a handful of failures concentrated in a payment-critical path scores higher risk than the same count spread across cosmetic checks.

Does the analysis run automatically?

Yes. It kicks off automatically once a launch's results are in — there's no button to press. The launch's Overview tab shows a pending state while it runs.

Which plan includes AI Launch Analysis?

AI Launch Analysis is available on the Core plan and above.

What if the analysis fails or is skipped?

Every launch shows one of four states: pending (still generating), completed, failed (retry later), or skipped — which means the monthly AI credit quota was reached for that project.