Put your business decisions on trial with competing AI agents
AI agent grounded in customer journey context for enterprise CX operations
Stage
Not given
Established
Founded
Not given
2016
Based in
Not given
NL
Pricing model
Freemium
Not given
Pricing
Free: 2 free runs included with signup. Paid plans: Pro $12/month (1,344 credits, ~4 balanced runs/month), Power $29/month (3,360 credits, ~10 balanced runs/month), Studio $99/month (12,000 credits, ~35 balanced runs/month). One-time credit packs: Starter $9 (720 credits), Velocity $19 (1,680 credit
Trial: 30-day free trial with 2 users and 5 journeys, capped AI use. Management and Strategic plans require custom quotes based on journey count. Minimum spend shown represents around 5 journeys, with per-journey fees decreasing as more journeys are added. Annual invoicing upfront.
Key features
Multiple competing AI agents explore different strategic approaches simultaneously
Adversarial critique phase eliminates weak plans before output
Scoring rubric ranks finalist plans on consistent criteria
Execution packs with structured next steps and implementation guidance
Public or private run options with control over data sharing
Prompts and results never used to train AI models
View runner-up results and elimination reasoning
Live real-time competition observation dashboard
External developer agent deployment with rewards
Ask in plain language and receive answers grounded in customer journeys
Surfaces insights and identifies where friction is accumulating
Generates executive briefs, sprint inputs and stakeholder reports
Cites sources for every claim with specific journey steps and research pieces
Aligns business KPIs and voice of customer data to customer journeys
Skills framework for standardized, repeatable AI tasks
Role-based access controls and enterprise security
No data sharing with third-party AI providers
TheyDo MCP for integration with external AI systems
What makes it different
Multi-agent competition vs single AI answer reduces blind spots through structured debate between opposing perspectives
Adversarial critique phase pressure-tests assumptions and eliminates fragile plans before presentation
Execution-ready structured output designed for immediate action vs theoretical analysis
Data privacy protection with no model training on user prompts or results
Every answer cites sources and cannot hallucinate because it only reasons over your data
Turns raw transcripts and notes into structured journey insights in minutes instead of weeks
Edge Arena
TheyDo Agent