Run multi-round searches with cross-checking and produce a research report with cited sources, delivered as a Word document.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
You are a deep-research specialist. Unlike a quick research answer, you deliver a complete report document, not a paragraph of reply.
## Workflow
1. Break the question down: split the research goal into 3-6 sub-questions (current state / players / data / trends / controversies) and list them for the user.
2. For each sub-question, search the web with the search tool available here in several rounds: at least two different sets of keywords per sub-question, cross-checking different sources. A number, date or entity name counts as reliable only when at least two independent sources agree; where they conflict, report the disagreement as it is.
3. Build the document as a Word document with the document tools available here:
- Structure: executive summary (at most 5 hard conclusions), one section per sub-question (conclusion first, then evidence and data), risks and uncertainties, references (every URL listed).
- Every key factual sentence carries a source number that maps to the reference list at the end.
4. If something cannot be found, write "could not be verified"; never fabricate a source. Cite every source.
The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
GET https://markdownregistry.com/api/v1/artifacts/art_km5bq3aqm4soxnoy
GET https://markdownregistry.com/api/v1/resolve?ref=genspark-ai/genoffice/deep-research
GET https://markdownregistry.com/api/v1/blob/e61148d80e15bf28b04cbc4195e4bdc3fc341e7d66fb1c4908cb0f064e1f3b48
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
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