Case Study
The Council
A Multi-Agent Decision Engine
Most businesses make critical decisions using incomplete information, gut instinct, or whatever the loudest voice in the room says. The Council changes that. It is a production multi-agent system that researches, debates, and evaluates business ideas across 13 specialized AI agents — all running autonomously on dedicated Apple Silicon infrastructure.
13
Specialized Agents
Minutes
Analysis Cycle Time
8+
Perspectives per Idea
24/7
Availability
Layer 1 — Eight Primary Agents
Each agent works independently, gathering evidence and forming proposals from a distinct perspective.
Researcher
Scans emerging tech, AI, and fintech trends via real-time web search
Creative
Finds novel cross-domain ideas from a curated knowledge base using RAG
Analyst
Assesses technical feasibility by scanning codebases and dev environments
Financial
Evaluates ROI, market conditions, and portfolio context using live market data
Customer
Surfaces real pain points from Reddit, forums, and product communities
Competitive
Maps competitor landscapes, identifies gaps, and spots defensible moats
Physical
Researches semi-passive physical business opportunities with geo and market data
Trend Forecaster
Predicts what will be hot in 6-12 months using VC data and patent filings
Layer 2 — Five Evaluation Meta-Agents
Once proposals are formed, meta-agents stress-test every idea to eliminate bias and validate claims.
Contrarian
Plays devil's advocate and critiques every proposal
Fact Checker
Validates claims against live web data
Advocate
Builds the strongest possible case for top ideas
Judge
Delivers impartial verdicts with confidence scores
Calibrator
Normalizes scores across agents and detects bias
The Pipeline
Proposals → Cross-Pollination → Fact Check + Critique → Defense → Structured Debate → Calibration → Judge Verdicts → Synthesis → Business Plans
By the time a business plan comes out, it has been challenged, verified, defended, and scored from eight different angles. No single point of failure. No confirmation bias.
Use Cases
- Product Ideation— Generate and stress-test new product ideas before committing resources.
- Market Entry Analysis— Evaluate new markets with financial, competitive, and customer perspectives simultaneously.
- Investment Due Diligence— Run multi-angle analysis on potential investments or acquisitions.
- Strategic Planning— Pressure-test business strategies against real data instead of assumptions.
- Trend Detection— Identify emerging opportunities before they become obvious.
Results
- Reduced strategic research cycles from weeks to under 15 minutes.
- Eliminated single-perspective bias through structured multi-agent debate.
- Delivers scored, actionable business plans — not raw data dumps.
- Runs on demand or on a schedule with zero manual intervention.
Want The Council working on your business questions?
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