Agent Business Simulation

Simulate an AI agent-run coffee shop using dynamic pricing from Elo

☕ AI Coffee Shop Agent
This simulates an autonomous AI agent running a coffee business. The agent:
  • Requests pricing from Elo (A/B Testing Server) for each customer
  • Simulates customer purchasing decisions based on price sensitivity
  • Records conversions back to Elo for experiment tracking
  • Demonstrates both BYOK and Managed mode integration
Orders
0
Conversions
0
Conversion Rate
0.0%
Revenue
$0.00
Simulation Controls
Run the agent simulation manually or automatically

Each order uses a unique user ID to demonstrate A/B testing with different variant assignments.

Activity Log
Real-time simulation events
No activity yet. Start a simulation to see events...
Architecture Flow
1Agent requests pricing → GET /api/experiments/:id/pricing
2Elo assigns variant deterministically and records view
3Elo emits view signal to Paid.ai (using tenant API key if BYOK)
4Agent displays price to customer
5If customer converts → POST /api/experiments/:id/convert
6Elo records conversion and emits signal to Paid.ai
7Owner calls POST /api/jale/optimize for recommendations