Build an MVP quickly with AI by reducing scope before increasing generation speed. Choose one user, one painful problem, and one complete workflow that proves whether the product is useful.
Write acceptance criteria for that workflow, then ask the agent to produce an implementation plan. Remove secondary roles, settings, dashboards, and integrations unless the test depends on them. Build a thin vertical slice that includes the interface, data persistence, and basic deployment. Use existing services for authentication, payments, email, and hosting when their tradeoffs are acceptable.
Parallel agents can shorten delivery when tasks are independent. For example, one worker can build the core API while another prepares the interface against agreed schemas and a third writes tests. Do not parallelize unresolved architecture or a changing data model.
Verdent can clarify requirements in Plan Mode and dispatch bounded tasks to workers. Review the plan before execution and test every milestone against the user outcome. “Quickly” should mean faster learning, not more generated features. Release to a small group, observe where users fail, and iterate from evidence. Add production hardening before opening the product to sensitive data or payment volume.
