Introducing Cooldown Guard for Autonomous Workflows

Why this project started from failure points

Repetitive control loops are often written as if every environment is always healthy. In real operations, retries stack, windows overlap, and a single burst can push a stable system into sustained pressure.

Existing ad hoc methods usually track cooldown in memory or in brittle shell scripts. They do not persist state across restarts, and they hide why an action was blocked. That makes incident investigation slower and policy adjustments inconsistent.

Design decisions

• Declare policy before execution and keep it stable in one schema.
• Track state transitions in SQLite so repeat checks are deterministic and replayable.
• Expose clear reasons for each blocked action and support structured output for operators.
• Use one boundary module to protect every automation loop from becoming a hotspot.

The first release focuses on operational boundaries: one command to check cooldown, one schema to define action identity, and one durable store. No external dependency model is required to run the default flow.

Execution before optimization

Cooldown Guard is intentionally narrow. It does one thing: decide if an action may proceed. The first version ships with clear status output for operators and deterministic behavior so automation state is auditable.

The broader release plan includes richer reporting and scheduling helpers, but the core contract is already in place: define policy, check state, return explicit outcome.