Scenario 01 // Consumer app
On-demand dog walking
“An app like Uber but for dog walkers. Press a button and someone comes to walk your dog right now.”
> Agent_Scraper: Compare local walking services and pet-care marketplaces for prices, booking windows, and availability.
> Agent_Economist: Include walker payouts, travel time, insurance, and acquisition costs in the margin per booking.
> Agent_Skeptic: Test whether enough nearby walkers and owners are available at the same time to deliver an instant service.
Risk to test: selling convenience at the cost of margins.
> Agent_ProblemFinder: Test whether owners need reliable recurring walks more than immediate dispatch.
> Agent_SolutionBuilder: Replace instant dispatch with scheduled weekly walks in one neighborhood, fulfilled by existing walkers.
> Agent_HumanReplicator: Model an owner's booking decision; propose an opt-in pilot with owners and walkers to test repeat demand.
Proposed solution // market validation still required
From instant dispatch to recurring walks.
Keep the dog-walking app, but test pre-booked recurring walks in a small service area. Predictable bookings could reduce idle time and repeat acquisition costs without promising instant availability.
Pivot reasoning
Recurring walks turn one-off convenience into predictable bookings. Scheduled slots cut idle travel and keep the same walkers busy, so margin and repeat demand become measurable in a small pilot instead of a citywide bet.
- Measure repeat bookings and travel time.
- Check margin after payouts and insurance.