Verify a versioned software release is genuinely complete — tickets actually implemented (not just closed), docs discoverable (not just present), CI green on all matrix platforms, coverage gated, security scan clean, rollback path tested, and version metadata consistent. Produces a structured READY / NOT READY / BLOCKED report with evidence-backed findings and action items.
Know if a betting record is luck or skill. Paste any betting history — get a full statistical audit: ROI with 95% confidence interval, the probability a losing bettor would show the same record, drawdown analysis, risk of ruin, and curation red flags. Retrospective analysis only — never predictions.
Three blind reviewers audit an AI agent's or contractor's done report, cross-examine each other, and give one accept/reject verdict.
用 AI 做事最容易蒸發的不是成果，是決策理由。檔案還在，但「為什麼這樣設計、為什麼放棄另一個方案」隨著對話關閉一起消失，三週後你會完全想不起來。這支把一場對話收斂成四類寫進每日紀錄，封存前再逐檔回查驗證真的寫進磁碟——AI 說「已寫入」跟磁碟上真的有那個檔是兩件事，更陰險的是索引寫了但檔案本體從未落盤。
Analyzes football forecasts provided by the user to identify consensus, agreement levels, prediction ranges, and key disagreements in one structured report.
Your backtest looks strong. But can you trust the evidence behind it? Check for holdout contamination, time leakage, cost-stress failures, concentration risk, and reproducibility issues — before you rely on the result.
Review real-estate leases, sale documents and supporting files. Extract key facts, detect inconsistencies, identify missing annexes or signatures, compare drafts, and generate an evidence-linked checklist, professional report and optional visual dashboard. Jurisdiction-aware and multilingual, with clear legal limitations.
Turn video scripts into structured retention audits — map hook failures, desertion windows, and re-engagement fixes using attention psychology.
Turn incomplete Jira tickets, JSM requests, PRDs, User Stories, and meeting notes into requirements that Engineering can build, QA can test, and Product can accept. Automatically identify requirement gaps, business rules, permissions, validations, UI/API behaviors, exceptions, and edge cases, then generate User Stories, Given/When/Then Acceptance Criteria, PM Checklists, QA Test Cases, risk analysis, and a Requirement Readiness Score based on the selected mode.