Keeping AI Agents Current as Business Rules Change: Versioned Rules and Event-Based Invalidation
tomibrumen · reddit · 2026-10-13
The author argues that embedding CRM fields, lifecycle stages, and ownership rules as static prompt text is a trap: business rules keep changing, and a technically valid action based on outdated business meaning is harder to catch than a failed API call.
His proposed approach:
- Store business definitions, process rules, and action policies in a versioned source of truth with an owner, effective date, and change log; agents retrieve the current rule at runtime instead of relying on stale summaries
- Add stricter checks for write actions: pause flow/automation if a required definition is missing or has drifted beyond what the workflow was tested against
- After a lifecycle-stage rule changes, run affected automations against a small set of test records before touching live deals again
- Scheduled refreshes catch ordinary changes, but event-based invalidation is safer for rules affecting customer records or downstream reporting
The trade-off is more governance and occasional automation pauses. He asks the community what a minimum change process should include: versioned definitions, event-based invalidation, scheduled refreshes, approval gates, or something else.
More from coding & agent
- SaaS Vendors and Agencies Are Asking to Plug Into HQ, the New Entry Point for Work — jacob_posel · 2026-10-13
- Meta launches Muse Wonder models targeting personal and professional AI agents — CurieuxExplorer · 2026-10-13
- He Built a 7-Bot Product Swarm on Grok Bot — Here's What Actually Works — PawelHuryn · 2026-10-13
- Claude tried installing ffmpeg from a sketchy fork instead of apt while setting up a VM — haydendevs · 2026-10-13
- Google rolling out custom MCP support in Gemini desktop app to more users — testingcatalog · 2026-10-13
- Matt Pocock launches AI Coding Dictionary defining harness, cache tokens, effort in plain English — mattpocockuk · 2026-10-13