Building Reliable Agent Workflows with State Machines
Use Statewright to constrain agent behavior through formal state machines instead of prompts
About this automation
Statewright provides a visual state machine framework that makes AI agents reliable by constraining tool access and solution spaces per state. Instead of relying on prompts to guide behavior, state transitions and tool restrictions are enforced via protocol, enabling smaller models to solve complex tasks with fewer tokens.
How to implement
Define states for your workflow (planning, implementation, testing, etc.)
Specify which tools are available in each state (read-only, edit, bash, etc.)
Set transition conditions and guards between states
Configure iteration limits and scope restrictions per state
Integrate with Claude Code via MCP plugin
Activate workflow and let Statewright enforce guardrails automatically
Monitor failure paths and retry loops in visual editor
Iterate on state machine based on agent behavior