stateful-product-from-scratch

A stateful product framework requires a durable data model, backend state machine, an agent interface (CLI/API), and a UI reflecting live state. This architecture governs lifecycle transitions and maintains auditable logs for long-running agent-driven workflows.

Structure a state machine for agent workflows by defining a central object with explicit states, gates, and transition runs. This ensures transitions remain verifiable and auditable while maintaining persistent progress across long-running automated tasks.

Maintain audit trails for long-running agent tasks by implementing a durable data model alongside a backend state machine. This captures persistent run logs, evidence of progress, and auditable transitions across the entire workflow lifecycle.

Yes, this stateful framework applies to greenfield product development and reviews of existing workflows. It provides the required durable data model, backend state machine, agent interface, and UI to govern lifecycle transitions from the start.

Before building the UI for a stateful workflow, define the central object, states, and transitions, then wire the durable backend state machine first. This ensures the UI accurately reflects live state with persistent run logs.