Know what broke after each deploy

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 deployment record your coding agent can use

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.

[ 1 ]

Deployment context

Run ID, deploy ID, environment, trigger, timestamp, branch or release note, and the critical flow that was checked.

[ 2 ]

Check version

The exact version of the expected behavior used for the run, so product changes do not erase older QA history.

[ 3 ]

Failure evidence

Failed step, screenshot, browser state, console or network clues when relevant, and reproduction notes for the coding agent.

[ 4 ]

Diagnosis

A concise failure summary with likely cause, impacted flow, suggested owner, and the next action needed before rerun.

[ 5 ]

Fix-and-rerun status

Whether the same check still fails, passed after the fix, was blocked by access or data, or needs a new check version.

History model

From deploy to verified fix

AlwaysQA is built around the loop teams already run after release: ship, check, diagnose, fix, rerun, and keep the record.

  1. Deploy

    A new build reaches production, staging, or preview

    AlwaysQA records the target environment and the flow that should still work after the change.

  2. Run

    The current check version runs

    The result is attached to the deployment, not buried inside a generic browser session.

  3. Fail

    Evidence is captured at the broken step

    Developers see the failure as a product behavior problem, not as a vague test artifact.

  4. Fix

    The coding agent gets fix-ready context

    The diagnosis can be sent back into Codex, Claude Code, Cursor, or another agent workflow.

  5. Rerun

    The same check proves whether the fix worked

    The history shows whether the critical flow is still broken, fixed, blocked, or intentionally updated.

Failure diagnosis

Make failed QA runs actionable

AlwaysQA focuses on the information developers and product owners need when a critical flow breaks after deploy.

What failed

The exact step and user-facing behavior that stopped matching expectations.

Where it failed

The deployment, environment, page, account state, and flow context behind the failure.

Why it likely failed

A short diagnosis that points toward the likely product, data, auth, or integration cause.

What to do next

A fix-ready summary for the coding agent plus the rerun path that will confirm the repair.

Check versioning

When behavior changes, history stays readable

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.

v1
Initial behavior: user signs up, confirms email, reaches onboarding.
v2
Product update: trial plan selection becomes part of the expected signup flow.
v3
Regression coverage: previous billing-plan bug becomes a required assertion.

Next step

Start with one flow that cannot silently break.

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.

Scope the first flow