LaunchGuard AI

AI launch-readiness copilot for MeDo apps. It audits security, performance, accessibility, PWA and privacy, then generates fix prompts users can paste back into MeDo.

Comment

Inspiration

MeDo makes it extremely fast to build full-stack applications, but shipping an app safely still requires launch checks: security, performance, accessibility, PWA readiness, and privacy.

LaunchGuard AI was built to close that gap.

Instead of creating another generic dashboard or productivity tool, I wanted to build a meta-tool for MeDo builders: an AI-powered launch-readiness copilot that helps users review their app before going public and then gives them actionable fix prompts they can paste directly back into MeDo.

What it does

LaunchGuard AI audits an application across five launch-readiness dimensions:

  • Security
  • Performance
  • Accessibility
  • PWA readiness
  • Privacy

It generates a clear Launch Score, groups findings by severity, tracks scan history, compares before/after improvements, and creates ready-to-paste MeDo fix prompts for every issue.

The core workflow is:

Build with MeDo → Audit with LaunchGuard AI → Copy fix prompt → Improve in MeDo → Re-scan and compare progress

The app includes:

  • Launch readiness dashboard
  • Score cards for each audit dimension
  • Severity-based findings
  • AI-generated MeDo fix prompts
  • Copy prompt functionality
  • Scan history
  • Before/after comparison
  • Demo Mode for judges
  • Public shareable report
  • Built with MeDo case study page
  • Settings page for plugin/API integration placeholders

How we built it

LaunchGuard AI was built with MeDo through an iterative multi-turn prompt workflow.

The first prompt defined the product concept, user flow, data model, audit categories, and defensive security scope. Then I refined the app step by step: dashboard structure, demo mode, scan history, public reporting, findings cards, copy prompt behavior, plugin placeholders, and final visual polish.

MeDo generated the full application structure, responsive pages, dashboard components, report layout, demo data, and the core build-audit-fix workflow.

The final version includes a judge-friendly demo project showing improvement from a Launch Score of 62 to 92, including before/after comparison and resolved findings.

The most impressive feature

The strongest feature is the AI Fix Prompt Generator.

Most audit tools only tell users what is wrong. LaunchGuard AI goes one step further: every finding includes a concrete prompt that users can copy directly back into MeDo.

For example, if the app detects weak PWA readiness, it generates a prompt to add a service worker and caching strategy. If it detects accessibility issues, it generates a prompt to improve focus indicators, alt text, and keyboard navigation.

This creates a practical feedback loop between building and improving.

Challenges

The main challenge was keeping the product useful while staying within an ethical and defensive security scope.

LaunchGuard AI does not perform intrusive scanning, exploit attempts, brute force testing, credential testing, or offensive security actions. It focuses on public metadata, visible app signals, user-provided configuration, best-practice checks, and demo fallback data.

Another challenge was making the app useful for judges without requiring API keys or external setup. Demo Mode solves this by providing a complete realistic audit experience out of the box.

What we learned

The biggest lesson was that AI app builders are not just useful for generating interfaces. They can also be used to create structured product workflows, audit logic, documentation pages, and iterative improvement loops. MeDo was especially useful for rapidly moving from concept to working product, then refining the UX through multiple focused prompts.

What's next

Future versions of LaunchGuard AI could add:

  • Real PageSpeed Insights integration
  • HTTP security header scanner
  • PWA manifest and service worker validator
  • Accessibility testing integrations
  • Scheduled scans
  • CI/CD integration
  • Team workspaces
  • Custom audit rules
  • Downloadable PDF reports
  • Deeper MeDo plugin support

The goal is to turn LaunchGuard AI into a real launch-readiness layer for apps built with AI.

Built With

  • ai-fix-prompts
  • ai-search
  • language
  • large
  • medo
  • pwa
  • radix-ui
  • react
  • recharts
  • supabase-style-service-layer
  • tailwind-css
  • typescript
  • vite
  • web-search
  • webpage-content-extract
Share this project:

Updates