Check if your AI-built app is ready for first real users.
Owlvex reviews repository-visible evidence and shows what is proven, missing, or risky before your app reaches real users, investors, or client handover.
Install the VS Code extension, then configure as you go.
Owlvex is deployed as a VS Code extension and starts with a simple setup: activate access, choose the project root, and run the first checks. Design maps, specs, AI configuration, and richer context can be added later when they improve accuracy.
Install Owlvex in VS Code, activate access, choose the project root, and start checking. Design map, spec, and AI configuration improve accuracy later.
Security scanningscan and evidence
Launch readinessreport workflow
Scan ContextDesign Map loaded | TDD optional
Reports & Memorychat + markdown
The output is the product.
Before anyone buys, they should be able to see the shape of the report: launch decision, visible evidence, missing evidence, diagrams, and developer actions.
Owlvex First Launch Readiness
Launch decision: fix before wider release
Top launch gaps
- Auth boundary: user ownership checks need proof.
- Abuse control: public routes need rate limiting evidence.
- Operations: logging and recovery path are not visible enough.
Evidence map
Developer action
Add route-level throttling, prove tenant boundaries, add evidence, then rescan within 3 months.
AI-built apps look finished before they are ready.
The gaps that hurt first users are usually not in the polished screen. They hide in authentication, user boundaries, validation, secrets, rate limits, logging, recovery, data access, background jobs, and deployment evidence.
Readiness first, with security checks and fixes underneath.
Vibe coders and founders get a readable readiness view. Developers get the IDE workflow to catch security and readiness issues early, fix priority code paths, and verify the evidence before launch.
Understand the app
Diagrams, heatmaps, risk flows, and plain-English summaries explain what the app appears to do and where launch risk sits.
Catch risk early
Security and readiness issues are surfaced from repository evidence before they become first-user, client, or production problems.
Fix and verify
Developer actions and AI coding prompts help repair the code, tests, config, or missing evidence, then the app can be rescanned.
Owlvex does not take your code from your premises.
Owlvex works from repository-visible evidence inside the 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.
Your AI choice
Use the AI workflow your team accepts: local, enterprise-controlled, or a third-party provider under your own account and policy.
Evidence, not training data
The report is about visible readiness evidence. CooperBox does not train models on customer source code.
What the report gives you.
The output is designed to be read by a founder and used by a developer: status, gaps, evidence, and next actions in one place.
Decision summary
A plain-English launch status for founders, client teams, investors, or technical reviewers.
Top launch blockers
The highest-risk gaps ranked by what could break first users, handover, or production launch.
Developer action list
Files to inspect, what to add, what evidence to create, and prompts a developer can use with Cursor, Codex, or Claude Code.
Evidence found
Repository signals from routes, config, tests, dependencies, project structure, and implementation patterns.
Evidence missing
Important readiness evidence that is absent, incomplete, or not visible from the repository.
Diagrams and flows
Visual summaries, heatmaps, evidence topology, and risk flows help the intended audience understand the app and plan rectification.
Verification rescan
After fixes, run a follow-up check within 3 months to verify whether the evidence improved.
For people shipping apps built with AI-assisted workflows.
Owlvex is for founders, developers, agencies, and consultants building with tools like Cursor, Claude Code, Lovable, Bolt, Replit, Supabase, and other AI-assisted development workflows.
Start by seeing the report shape.
Review the sample report first, then choose Pro, First Launch Report, or the bundle when the output matches what you need before first real users.
This is not a certification, penetration test, compliance audit, or guarantee. It is a practical evidence-based review before real users expose the gaps.