AI QA Workflow Runner

Aggregate AI QA stage metrics into one deterministic release decision: Ship, Review, or Block.

89

Overall Score

Ship

Decision

0

Fail Stages

0

Review Stages

Pipeline Decision

Ship

Stage Results
passPrompt Lint Stage84/100

Prompt quality score 84/100.

passPolicy Firewall Stage90/100

0 high + 1 medium policy findings.

passJailbreak Replay Stage98.75/100

7 pass, 1 warning, 0 fail replay outcomes.

passOutput Contract Stage88/100

Output contract fit 88/100.

passEval Delta Stage80/100

Score delta 3, pass-rate delta 4pp.

Recommended actions

  • No blocking actions. QA pipeline looks ready.

Workflow JSON report

About This Tool

AI QA Workflow Runner combines key QA stage metrics into one release decision so teams can standardize go/no-go checks before pushing prompt or model changes.

Frequently Asked Questions

Does this call external services?

No. It is deterministic scoring based only on the metrics you provide.

How should I gather inputs for stages?

Use Prompt Linter, Policy Firewall, Replay Lab, Output Contract checks, and Eval Comparator outputs.

Is workflow data uploaded?

No. All data stays in your browser session.

Related Tools

Eval Results Comparator
Compare baseline and candidate eval runs to quantify score and pass-rate deltas.
AI Reliability Scorecard
Score prompt quality, safety, output contract fit, and replay-test risk before release.
Prompt Policy Firewall
Scan prompts for PII, secrets, and injection patterns before sending data to AI models.
Jailbreak Replay Lab
Replay jailbreak scenarios, score model defenses, and export deterministic safety reports.

Compare With Similar Tools

Decision pages to quickly see when to use each tool.

AI QA Workflow Runner vs AI Reliability Scorecard

Stage-by-stage QA pipeline runner vs weighted release-readiness scorecard.

AI QA Workflow Runner vs Eval Results Comparator

End-to-end QA gate decisioning vs baseline-candidate eval delta analytics.

AI QA Workflow Runner vs Prompt Versioning + Regression Dashboard

Final QA stage-gated release decision vs multi-snapshot version drift dashboarding.

Workflow Links

Suggested step-by-step tools based on this page intent.

Before This Tool

JSONL Batch SplitterSplit large JSONL datasets into chunked files by line count or byte size limits.Prompt A/B Test MatrixGenerate deterministic prompt variant matrices across tone, length, and output format.JSON Output RepairerRepair malformed AI JSON outputs and recover parser-safe structured data.

Next Step Tools

Prompt Injection SimulatorSimulate prompt-injection attacks and score guardrail resilience before release.Context Window PackerPack prompt segments by priority into a fixed token budget with required-rule support.Prompt LinterLint prompts for ambiguity, missing constraints, and conflicting instructions.