Turns a press release, official announcement, or source article into a publish-ready article while guaranteeing every date, amount, name, and location stays locked to the source — zero fabrication, verified before output.
Keep a permanent, hash-chained ledger of public forecasts and see who has actually earned weight. Add calls before they resolve, add outcomes later, and get hit rate with confidence intervals, calibration, and naive versus track-record-weighted consensus on open questions. Edited or removed entries are detected. Offline deterministic script; calls recorded after the answer was known earn no weight.
Check every claim in your draft against your own sources. ClaimLock is a source-based claim auditor: paste your draft and the source texts. Claude finds every sentence that carries a checkable claim and proposes the evidence passage for each. Then an offline script checks the evidence is really in your sources, word for word, and that the numbers, dates and quotations match.
在发布前检查 README、论文或报告中的声明是否仍与当前 CSV/JSON 结果一致，输出带证据的 SUPPORTED、STALE 或 UNSUPPORTED 闸门报告。
Paste any "make money with AI" idea and I'll check what's actually true — is it still working, is anyone really earning, where's the trap. No hype, no hot tips: I just help you not lose money and not miss the real ones, and every verdict comes with sources you can click.
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.
Gives AI agents a structured stop-and-declare protocol for four failure states — low confidence, collapsed premise, exhausted search, and incomplete evidence — so agents label what they don't know instead of fabricating what they can't verify.
Runs a five-axis consistency check on every turn — verifying character voice, world rules, timeline, dormant lore, and new contradictions — then proactively surfaces unused story elements, so your canon survives from chapter one to the final scene.
Activates a mandatory devil's advocate role the moment reviewers reach consensus — forcing one party to produce a specific failure scenario backed by data and a source before any conclusion is finalized, so agreement requires evidence, not just alignment.