AI AgentsFormat: spoke GuideDraft Outline
Agent Workflows as State Machines: Deterministic Reliability for AI
How to structure AI GTM agents as formal state machines with transitions, retries, and dead-letter queues to eliminate pipeline crashes.
Primary Search Intent: agent workflows state machines
Article Outline
- Why Linear Scripts Break: Unhandled exceptions in non-deterministic LLM chains.
- Defining Agent States: INGESTED, RESEARCHED, DRAFTED, REVIEW_PENDING, PUBLISHED.
- Dead-Letter Queues and Observability: Monitoring failed runs without stalling production batches.
Frequently Asked Questions
Why use state machines for AI agents?
State machines ensure that agents follow predictable transitions, handle errors gracefully, and maintain state across async human approvals.