Deployment context
Run ID, deploy ID, environment, trigger, timestamp, branch or release note, and the critical flow that was checked.
AlwaysQA gives developers, product owners, and coding agents a durable QA record for every critical flow: deployment, environment, check version, result, evidence, diagnosis, and rerun status.
Trace
Every run tied to a deploy
Diagnose
Failures returned with evidence
Close
Fixes proven by rerun status
QA record
A failed check is only useful when it explains where the product broke and how the developer should respond. AlwaysQA turns each post-deploy run into a structured record that can be inspected by humans or called through MCP.
Run ID, deploy ID, environment, trigger, timestamp, branch or release note, and the critical flow that was checked.
The exact version of the expected behavior used for the run, so product changes do not erase older QA history.
Failed step, screenshot, browser state, console or network clues when relevant, and reproduction notes for the coding agent.
A concise failure summary with likely cause, impacted flow, suggested owner, and the next action needed before rerun.
Whether the same check still fails, passed after the fix, was blocked by access or data, or needs a new check version.
History model
AlwaysQA is built around the loop teams already run after release: ship, check, diagnose, fix, rerun, and keep the record.
AlwaysQA records the target environment and the flow that should still work after the change.
The result is attached to the deployment, not buried inside a generic browser session.
Developers see the failure as a product behavior problem, not as a vague test artifact.
The diagnosis can be sent back into Codex, Claude Code, Cursor, or another agent workflow.
The history shows whether the critical flow is still broken, fixed, blocked, or intentionally updated.
Failure diagnosis
AlwaysQA focuses on the information developers and product owners need when a critical flow breaks after deploy.
The exact step and user-facing behavior that stopped matching expectations.
The deployment, environment, page, account state, and flow context behind the failure.
A short diagnosis that points toward the likely product, data, auth, or integration cause.
A fix-ready summary for the coding agent plus the rerun path that will confirm the repair.
Check versioning
Critical flows evolve. AlwaysQA keeps older deployment results attached to the check version that produced them, while the active check can change with the product.
Next step
Bring a fragile signup, checkout, onboarding, billing, or dashboard flow. AlwaysQA will turn it into a deployment QA record your coding agent can inspect and rerun after fixes.