Rules & Behavior
How to define rules, corrections, and behavioral constraints for agents.
The rule system
Pulse AI works best when expectations are explicit. Rules tell agents how to behave in a workspace: what to read first, what proof is required, what counts as overreach, and what must never be skipped.
What rules should cover
Useful rules are concrete. They should cover:
- Required context before starting.
- Role selection.
- Validation standards.
- Review and approval boundaries.
- Security and privacy limits.
- Git and delivery expectations.
- Product-specific language or behavior that must stay consistent.
Corrections
When you tell an agent "don't do X" or "always do Y", Pulse AI can preserve that correction so future work does not repeat the same mistake.
Good corrections are operational, not emotional:
- "Use Pulse Narrate in public copy."
- "Do not treat generated launch content as approved unless the founder approves it."
- "Verify the live runtime before saying a UI issue is fixed."
Enforcement model
Rules matter only when they affect behavior. Pulse AI pairs written guidance with review gates, validation checks, and board state so the system can catch misses before a human approves the work.
Next: Roles & Skills, Completion Gate, and Security & Privacy.