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.
需求写了一半、规则没补齐、验收条件不清楚，就准备交给开发？ Requirement Ready AI 会从业务目标、功能范围、业务规则、验证、权限、UI、API、异常与边界条件等角度检查需求完整度，并补齐 User Story、Acceptance Criteria、QA Test Cases 与风险。 帮助你在进入开发前，先确认需求是否真的 Ready。
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.
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.
Paste a diff and 4 AI reviewer lenses (security, reliability, maintainability, performance) cross-check each other, then give you CONFIRMED/CORROBORATED/DISPUTED findings and a merge recommendation.
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.