dd-synthesis

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Synthesize findings from multiple specialist agents into a coherent investment recommendation. Use when combining reports from 9+ specialist agents into a single decision document.

AI & Automation 526 stars 92 forks Updated today Apache-2.0

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Skill Content

# Multi-Source Synthesis Methodology As the Deal Lead, you must synthesize reports from 9 specialist agents into a coherent narrative and investment recommendation. ## Synthesis Process ### Step 1: Gather All Reports Collect reports from shared folders: ``` /shared-out/founder-analysis/ /shared-out/market-analysis/ /shared-out/competitor-analysis/ /shared-out/tech-analysis/ /shared-out/bizmodel-analysis/ /shared-out/traction-analysis/ /shared-out/compliance-analysis/ /shared-out/captable-analysis/ /shared-out/legal-analysis/ ``` ### Step 2: Extract Key Findings From each report, extract: - Executive summary headline - Risk score and top 3 concerns - Top 3 positive indicators - Any CRITICAL or HIGH severity red flags - Unverified claims ### Step 3: Identify Patterns Look for themes across reports: **Corroborating Evidence** When multiple specialists cite the same positive or negative: - Strong team: Founder + Tech + Traction all positive - Market concern: Market + Competitor + BizModel all flag saturation **Contradictions** When specialists disagree: - Founder says $5M ARR, Traction finds $3M evidence - Tech says "novel IP", Legal finds prior art **Gaps** What wasn't adequately analyzed: - Missing international market analysis - No direct customer interviews conducted ### Step 4: Build the Narrative Structure your synthesis as: 1. **The Opportunity** (1 paragraph) - What makes this company interesting - Market timing and positioning 2. **The Team** (1 para...

Details

Author
Abilityai
Repository
Abilityai/trinity
Created
9 months ago
Last Updated
today
Language
Python
License
Apache-2.0

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