Strategy Simulator Agent

WHAT IT DOES

Monte Carlo meets multi-agent simulation. Define your business decision (pricing change, market entry, product pivot, hiring plan) — the agent spawns 100-1,000 scenario agents, each representing a possible future. Each scenario agent models market reactions, competitor responses, customer behavior shifts, and second-order effects. Results are ranked by risk-adjusted return with confidence intervals. Not a spreadsheet — a living simulation.

WORKFLOW

1. Define decision space
2. Set constraints + variables
3. Spawn scenario agents (100-1K)
4. Each agent simulates forward 12-24 months
5. Aggregate outcomes
6. Rank by Sharpe-like risk metric
7. Brief with recommendation + sensitivity analysis

SKILLS

INTEGRATIONS