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.
幫你把一個專案、合作、產品點子或機會，依需求證據、驗證速度、投入成本、可逆性、策略吻合度與下行風險，做成 GO、TEST、DEFER 或 STOP 的明確判斷，並附上一個 72 小時內可驗證的下一步。
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.
Is that AI partnership a plan, an order, or recognized revenue? Paste a public announcement for an evidence table, missing-proof checklist and next verification steps. Explore market scenarios or calculate public daily-price metrics. Dates and gaps are explicit. Fresh verification requires available search/browser tools. Research only; not professional financial or investment advice.
経営戦略・マーケティングの実務知見を、誰でも再現できるプロンプトに落とし込みました。競合分析では「公開情報にない事実を創作しない」「推測には[推測][仮説]タグを必ず付ける」「攻撃的な比較表現を避ける」という3原則を徹底し、捏造・誹謗中傷のリスクを抑えた一次分析を出力するように設計しています。コンサルティングの現場で使われる、価格×品質などの2軸ポジショニングや、市場の空き地を見つけるフレームワークをそのまま使えます。
🔎 Audit your product before you invest. Analyze ecommerce profit margins, shipping and advertising costs, supplier risks, and cross-border trade considerations. Stress-test your assumptions, calculate profit scenarios, uncover missing information, and identify potential deal-breakers. Get a structured recommendation to test, negotiate, validate, or pause before committing your money. No guaranteed profits—just smarter, evidence-based decisions.
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.
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.
Turn your AI pilot data into a traceable decision pack with TCO, ROI, NPV, payback, sensitivity analysis, evidence gaps, risks, and clear next steps.