Representative sample · no client data

See what a launch readiness report looks like.

This is a made-up but realistic report. It shows what you get after a Launch Readiness Review: the decision, the scorecard, the findings, and the fix plan.

  • Report LRR-20260831-DEMO01
  • Northstar Support Drafts
Scope the 48-hour review
What the review includes

Representative · fictional product

Launch readiness summary

Conditional go

Proceed with the limited draft-only beta.

  • Critical journey
  • Auth & permissions
  • Actions & data
  • Failure handling

+ 3 more gates below

Representative preview · fictional product and evidence

Scope and critical journey

One AI-built workflow. No production data.

Product

Northstar Support Drafts

A five-customer private beta where staff review AI-drafted support replies before sending.

Critical journey

An operator signs in, opens one synthetic tenant ticket, generates a source-linked draft, reviews it, and saves it without sending an external message.

  1. Sign in

    Tenant and operator boundary checked before the ticket opens.

  2. Draft

    Source-linked output generated with trace correlation.

  3. Review and save

    External send stays disabled until recipient policy is deterministic.

Seven-gate scorecard

What passed, what stayed conditional.

  1. Critical journey

    Fresh operator completed the named draft journey.

  2. UI states

    Loading, error, review, and recovery states matched the stored result.

  3. Auth & permissions

    Wrong-object requests were denied and tenant markers stayed isolated.

  4. Actions & data

    Targeted code/configuration inspection found the send boundary trusted model-selected data; the capability was disabled as containment.

  5. Failure handling

    Timeout, retry, partial failure, and recovery paths were observed.

  6. Operations

    Deployment, limits, alerts, rollback, and ownership were recorded.

  7. Discoverability

    The narrow sample checked basic metadata, links, and deployed rendering.

Main finding

The reason this was not a full go.

F-001

High · launch-blocking

The send tool trusted a model-selected recipient without deterministic policy.

Evidence
A valid-shaped recipient different from the approved ticket contact was accepted in the synthetic harness.
Consequence
A mistaken or manipulated model output could send customer content to an unintended address.

Response

Keep sending disabled. Resolve the recipient from trusted ticket state, require exact-action confirmation, and add wrong-tenant regression tests before re-enabling.

Decision and conditions

Conditional go, and what it depends on.

Proceed with the limited draft-only beta. Keep external sending disabled until the code path, recipient policy, and wrong-tenant regression controls are implemented and re-tested.

Conditions

  • Keep the external send tool disabled for every beta tenant.
  • Limit access to the five named beta tenants and two support operators.
  • Alert on attempted invocation of the disabled send tool.
  • Re-review recipient validation before enabling external sending.

The fix plan, in priority order.

Now

  • Keep external sending disabled.
  • Limit the beta to named tenants and operators.

Next

  • Implement deterministic recipient allowlisting.
  • Add wrong-tenant regression tests.

Later

  • Re-review the send boundary before enabling it.
  • Keep the stop owner and rollback build recorded.

Representative sample · report LRR-20260831-DEMO01 · fictional product and evidence, no client data

Questions

About this sample.

What does a launch readiness report for a vibe-coded app contain?

A Topiax launch readiness report contains a launch decision, a seven-gate scorecard, every finding ranked by severity, the conditions attached to the decision, and a fix plan in priority order. The decision is GO, CONDITIONAL GO, or NO-GO, explained in a 30-minute recorded walkthrough call.

Is this sample report from a real client?

No. The sample launch readiness report is fictional and representative, with no client data. The product, Northstar Support Drafts, the evidence, and the finding were written to show the format. A real report follows the same structure, built from your app.

How are findings ranked?

Findings in a launch readiness report are ranked by severity. Each one says where it is, how it was found, why it matters, how to fix it, and the estimated fix time. The fix plan then sorts the work into now, next, and later.

Why is the sample a CONDITIONAL GO, not a GO?

The sample report is a CONDITIONAL GO because one of the seven gates, actions and data, stayed conditional. The send tool trusted a recipient chosen by the AI model, so the draft-only beta may go ahead only while external sending stays switched off.

How do I get a report for my own app?

You get a launch readiness report for your own app by booking the 48-hour Launch Readiness Review, which costs $1,250, fixed. The report arrives within 48 hours of payment and access. A $400 AI App Scan from the last 30 days is credited in full.

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