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Equity assumption review assistant
A checked valuation scenario report and assumption challenge list.
Equity assumption review assistant is a free AI agent for the job "Handle money and investing". Give the instructions to an AI assistant that supports the required files and tools, then review its output.
Free · No account · Made by AI Blocks · Thinking: high
What it does
A checked valuation scenario report and assumption challenge list. Give your AI the source material listed below and install the complete pack. It uses the component skills in the stated order, saves each result and checks the handoff before continuing. Scenarios use dated evidence and explicit inputs; model validity is separate from investment merit. Missing tools or evidence stay visible in the final summary.
You give it
- Actual company filings, dated market data, exchange, currency, as-of date, the existing valuation model and explicit scenario assumptions. Include the previous review when available.
- The intended reader, deadline and limits on what may be changed.
- The last review and current evidence, if this is a repeat run.
- Available tools for the finished output: The bundled valuation engine and report renderer.
- Source text (optional)
- Spreadsheet (optional)
- A draft (optional)
You get
- A checked valuation scenario report and assumption challenge list.
- Step files with evidence, unresolved facts and actual checks completed.
- The reason each branch ran or was skipped, plus a minimal record for the next review.
Use it when
- You need a checked valuation scenario report and assumption challenge list.
- The relevant facts are spread across files or notes and need one consistent review.
- You need to compare new evidence with the last review and choose the next action.
How to use it
- Download the complete pack and add its governing file and component skills to your AI.
- Share the sources listed above and say which result you need.
- Ask the AI to follow the governing file, save each result and stop on a failed required check.
- Review the files, missing facts and proposed actions before using the result.