Your export says salaries came in $20k over budget. It doesn't say if that's two new hires (raise the forecast) or a one-off bonus (ignore it). This Agent closes that gap. Drop in a budget-vs-actual export (CSV or Excel) and get the variance maths — favourable vs unfavourable, a two-test materiality screen, per-period margins — plus the CFO commentary: headline, reconciling bridge, top 3 drivers, actions. It won't call an underspend a saving, and flags the favourable variance masking a bad one.
一则 AI 合作公告，究竟是意向、订单，还是已确认收入？贴上公开原文，取得证据对照、待核实清单与下一个验证节点；也可整理美股多空情境、计算公开日线。逐项标明资料日期、来源与缺口。最新资料核实取决于可用的搜索／浏览工具。仅供研究，不构成专业财务或投资建议。
按用户明确给出的顺序重放库存数量流水，核对期末快照差额和负余额，输出JSON及Markdown报告。需自备CPython 3.11.1；不连接仓储系统、不修改库存、不推断缺失流水。
Rebuild a spreadsheet of hardcoded numbers — the kind that breaks when you change one cell and that nobody trusts enough to take to a board or VC — into a driver-based, three-statement linked model you can actually stress. Scope by purpose, build a driver tree (price × volume × retention, not a growth rate from thin air), link P&L → Balance Sheet → Cash Flow, centralize inputs in one assumption layer, run base/bull/bear scenarios with sensitivity, and sanity-check against benchmarks.
Check your investor update before sending: three AI reviewer lenses flag vague claims, buried bad news and fuzzy asks, then cross-examine each other for a final recommendation. Not investment or legal advice.
