Operator-ready prompt for reuse, tuning, and workspace runs.
This item is set up for developers who want to inspect the original language, fork it into Workspace, and adapt the evidence model without losing the source prompt structure.
Implementation handoffs, eval setup, and prompt tuning where you need the original structure intact.
Inspect first, copy once, then fork into Workspace when you want variants, notes, and model settings attached to the same run.
Swap domain facts, examples, and any hard-coded entities for your own context.
Tighten the evidence or verification requirement if this is headed toward production.
Decide which failure mode you want to evaluate first before you branch the prompt.
This prompt already carries implementation detail, tool context, and a final-output instruction. Keep that structure intact when you tune it, or your comparison runs get noisy fast.
Open this prompt inside Workspace when you want a live iteration loop.
Copy for quick reuse, or run it in Workspace to keep prompt variants, model settings, and prompt-history changes in one place.
Structured source with 1 active lines to adapt.
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Prompt content
Original prompt text with formatting preserved for inspection and clean copy.
Develop a tool or function that an AutoGen agent can use to send raw financial documents and news articles to Upstage for cleansing and structured data extraction. Describe how this tool will be registered with your agents and how agents will be prompted to use it before performing analysis. Assume Upstage returns structured JSON data.
Adaptation plan
Keep the source stable, then branch your edits in a predictable order so the next prompt run is easier to evaluate.
Hold the task contract and output shape stable so generated implementations remain comparable.
Update libraries, interfaces, and environment assumptions to match the stack you actually run.
Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.
Copy once for a pristine source snapshot, then move the prompt into Workspace when you want variants, run history, and side-by-side tuning without losing the original.
Prompt diagnostics
Quick signals for how structured this prompt already is and where adaptation work is likely to happen first.
This prompt already mixes executable detail with instructions, so the safest path is to tune examples and interfaces before you rewrite the overall scaffold.
AutoGen Multi-Agent Legal Tech Valuator with Gemini 3 Flash
Develop a sophisticated multi-agent system using Microsoft's AutoGen framework to perform automated due diligence and valuation analysis for emerging AI legal software startups, inspired by Legora's recent funding. This system will leverage specialized agents to research market trends, analyze financial documents, identify legal tech innovations, and synthesize comprehensive valuation reports. The focus is on orchestrating autonomous agents that can collaboratively perform complex tasks, with human oversight at key decision points, ensuring accuracy and compliance in a high-stakes environment. Utilize Gemini 3 Flash for advanced multimodal understanding and reasoning, Upstage for data preparation, and ElevenLabs for voice-enabled executive summaries.
Use the challenge page to recover the original task boundaries before you tune the prompt. That keeps your variants grounded in the same evaluation target instead of drifting into a different problem.