Academic sanity-check with interactive HTML dashboard. Detects look-ahead bias, over-parameterization, and benchmarks against 10 canonical blueprints via animated SVG gauges and color-coded KPI cards. Parses natural language, code, or CSV uploads. Output auto-adapts (EN/ZH-TW/ZH-CN). Built on De Prado (2018). For students and strategy developers. Not financial advice.
Your AI built the app. Find out if it is ready to ship. Audits apps built with Cursor, Claude Code, Lovable, Bolt or v0 and ranks what will break after launch, worst first: auth holes, IDOR, Supabase RLS, exposed secrets (always masked), SQL/NoSQL/command injection, SSRF, XSS, payment webhooks and deploy blockers, plus SEO and AI-search readiness. Get a ship decision, scores, evidence-backed findings (file:line) and copy-paste fix prompts. Audit-only; your code is never executed.
Check whether your AI initiative has enough traceable evidence for a credible value review, and receive a readiness score, evidence gaps, and clear next steps.
Catch dangerous Postgres DDL before merge. Paste SQL or ORM migration files and get a GREEN/AMBER/RED verdict, 0-100 score, exact findings, and a merge-gate checklist. Free local Download; no API key or database connection.
Audit Excel workbooks before you trust, send, or deliver them. Detect formula, structure, data-quality, hidden-content, dependency, validation, and consistency risks with traceable evidence — without modifying the original file.
Forces AI coding agents to read exports, callers, and shared utilities before touching any file — then restricts every edit to the declared scope, flags conflicting patterns for human resolution, and reports any file touched outside the boundary.
Three reviewer lenses audit an AI agent's or contractor's done report, cross-examine each other, and give an accept/do-not-accept recommendation.
Michelin-kitchen audit for your AI coding agent setup: finds where you are still the bottleneck, places you on the trust ladder, and hands you the one upgrade that lets you run more agents with less supervision.
Turn factory data into a bottleneck, capacity, and layout-risk decision.