Can your AI-built app survive its first real users?
Owlvex reviews repository-visible evidence, shows the launch gaps that matter, turns them into developer-ready fix tasks, and re-checks the evidence before first users or client handover.
Start with what the report looks like.
The report is the thing customers rely on: launch decision, evidence, diagrams, missing proof, and developer actions. The sample shows the shape before anyone buys.
First Launch Readiness
Decision, evidence, diagrams, and fix plan in one place
Report sections
- Decision summary: ready, caution, or fix before wider release.
- Evidence ledger: what the repository proves and what is missing.
- Work packages: developer actions and AI coding prompts for fixes.
Visual layer
Diagrams, heatmaps, evidence topology, and first-user risk flows make the app understandable to non-developers.
Rescan
Fix priority gaps, add evidence, then verify the improved state within 3 months.
Readable for builders, actionable for developers.
The main job is app readiness. Owlvex also looks at security because security gaps are launch gaps. Builders get a plain-English decision and diagrams; developers get fix guidance, evidence targets, and a verification loop.
1. Understand
Owlvex builds repository understanding and generates diagrams, heatmaps, evidence topology, and first-user risk flows.
2. Check readiness
It reviews app readiness evidence across auth, data boundaries, validation, operations, recovery, deployment, and security-sensitive areas.
3. Fix issues
Developers use the findings to apply targeted fixes, tests, config changes, and evidence updates in the app repository.
4. Report and rescan
The First Launch Readiness Report packages the decision, evidence, diagrams, and work packages, then a re-check verifies the changes.
A report a founder can read and a developer can use.
It gives a decision view first, then the diagrams, evidence, security/readiness gaps, and repair tasks needed before first users, production launch, or client handover.
Decision summary
A plain-English launch status and the practical meaning of the evidence found in the repository.
Top launch gaps
The highest-priority gaps that could block first users, production launch, or client handover.
Developer actions
Files to inspect, evidence to add, and prompts a developer can turn into Cursor, Codex, or Claude Code tasks.
Evidence found
Visible signals from routes, auth, data access, config, tests, deployment files, and project structure.
Evidence missing
Important launch-readiness evidence that is not present, not complete, or not visible enough to rely on.
Human review markers
Clear separation between repository-visible evidence, missing evidence, and areas that need specialist or business review.
Diagrams and flows
Visual summaries, heatmaps, evidence topology, and first-user risk flows help the intended audience understand the app and plan rectification.
Owlvex does not take your code from your premises.
Owlvex is designed around repository-visible evidence inside your builder or developer workflow. CooperBox does not collect, copy, or train on customer source code. You choose the AI setup used for reasoning and fixes.
No code collection
Owlvex is not a source-code collection service. The code stays in the customer-controlled workflow.
AI of your choice
Teams can use their preferred AI workflow: local, enterprise-controlled, or a third-party provider under their own account and policy.
Report from evidence
The output is based on repository-visible readiness evidence, not a request to hand source code to CooperBox.
The boring areas that break first.
Owlvex looks for practical launch-readiness evidence across the areas that usually hurt AI-built apps when real users arrive.
A finding should become a task.
Finding: no clear rate limiting evidence
Why it matters: first users can overload public routes or abuse APIs.
Evidence found: API routes detected.
Evidence missing: no route-level throttling or middleware evidence.
Developer action: add rate limiting to public endpoints and auth-sensitive routes.
AI coding prompt: review these public routes, add safe throttling middleware, add tests for repeated requests, and avoid changing business behaviour beyond the abuse-control path.
Fix path: apply the smallest code/config change, run validation, then rerun Owlvex to verify the evidence changed.
Launch decision: fix before wider launch.
Evidence-based, repository-visible, and clear about limits.
Owlvex starts from repository understanding, not a broad promise. It separates evidence found, evidence missing, security/readiness risks, code fixes, and human review required.
Build repository understanding
Profile project structure, routes, dependencies, configs, tests, and launch-sensitive surfaces.
Assess first-user risk
Map visible evidence to practical launch risks for first users, client handover, or production release.
Turn gaps into fixes
Convert findings into developer actions, code-fix prompts, tests, config changes, and evidence to add back into the repo.
Fix and rescan
Use the report as a repair plan, then run a verification rescan within 3 months.
For the developer doing the fixes.
Owlvex Pro is the IDE workflow used when a developer wants to scan, repair, and re-check from VS Code. Founders, agencies, and vibe coders can start by buying Owlvex, installing the extension, and keeping the app inside their own controlled workflow.
GitHub download
Use the public GitHub page for release notes, manual download, and installation guidance.
Open GitHubChoose monthly access or the launch-ready annual path.
Monthly is for trying the VS Code workflow. Annual is for builders preparing a real launch and includes one separate FLR Report Licence for one eligible app.
For developers who want the scanning and fix workflow without an annual commitment.
- VS Code scanning and fix workflow
- Security and readiness issue detection
- Repair guidance and validation prompts
- First Launch Readiness Report not included
- Cancel monthly subscription anytime
£588 billed yearly. Includes one Owlvex Pro licence plus one separate FLR Report Licence for one eligible app.
- Everything in Owlvex Pro Monthly
- 1 First Launch Readiness Report included
- Decision summary, diagrams, evidence ledger, and developer action list
- Evidence re-check within 3 months after fixes
For active Pro subscribers who need another report for another app, major change, or client handover.
- Requires active Owlvex Pro
- One additional First Launch Readiness Report
- Developer-ready fix guidance and evidence targets
- Evidence re-check within 3 months after fixes
The annual plan is billed yearly at £588 and includes two activation codes: one Owlvex Pro licence and one FLR Report Licence for one eligible app. Monthly subscriptions receive the Owlvex Pro licence only. Additional FLR reports issue a separate FLR Report Licence and require active Owlvex Pro at report fulfilment. Card details are handled by Polar secure checkout.
Owlvex First Launch Readiness is an advisory report based on repository-visible evidence. It is not a certification, penetration test, compliance audit, or guarantee that an application is secure or production-ready.
Help shape Owlvex while it is in beta.
Owlvex is still improving. Active Owlvex Pro subscribers can send one eligible Customer Feedback Report per Owlvex software version, covering issues, report quality, evidence guidance, pricing, buying objections, and future direction.
Paid customer feedback contribution
Accepted submissions may be paid as a customer feedback contribution, capped at £60. This is not a refund, rebate, discount, subscription credit, bug bounty, security bounty, or automatic payment scheme. Owlvex Pro remains a paid subscription.
To qualify: you must have an active Owlvex Pro subscription, submit one report for the current Owlvex version, and provide substantial answers based on real product use.
What to include: what you used Owlvex for, what worked, what broke or confused you, whether the report was useful, what pricing or buying objections you had, and what would make Owlvex more valuable.
Do not include: passwords, API keys, secrets, private customer data, sensitive source code, or private repository exports.
Clear scope before you launch.
Find out what your AI-built app is missing before launch.
View the sample report, then buy Owlvex and run the workflow in your own workspace when your app is close to first users or client handover.