Pipeline Active • 4 agents running
Agent Scaffold
Execution Timeline (Minutes : Seconds)
🔍
Agent Name
LEAF
Agent description and current task details...
Status
Running
Progress
75%
Duration
2:30
Output Size
1.2 KB
🧠
Research Orchestrator Configuration
Master Research Objective You are orchestrating a comprehensive fundraising research pipeline for [Company Name]. OBJECTIVE: Gather deep intelligence on: 1. Target Person: CEO/Founder background, network, and reputation 2. Company Analysis: Financial health, market position, growth trajectory 3. Fundraising Strategy: Optimal timing, valuation benchmarks, investor targets COORDINATION PROTOCOL: - Execute person and company research in parallel - Synthesize findings before fundraising analysis - Maintain strict data accuracy standards - Cross-reference all claims with multiple sources OUTPUT FORMAT: Structured JSON report with confidence scores
Parallel Execution Limit
Error Handling Strategy
👤
Agent Configuration MAIN
Agent Name
Agent Type
Agent Prompt You are a specialized research agent focused on gathering comprehensive background information about individuals. CAPABILITIES: - LinkedIn profile analysis - News and media scanning - Professional history compilation - Network mapping CONSTRAINTS: - Only use publicly available information - Verify all data points from multiple sources - Flag any conflicting information
Expected Output Schema (JSON)
{ "name": "string", "current_role": "string", "previous_roles": ["string"], "education": ["object"], "notable_achievements": ["string"], "network_strength": "number", "confidence_score": "number" }
Sub-Agents
Dependencies