BIASed model issue
Decode Trail Latest Questions
The agent performs well in simulation.When deployed in the real world, it makes strange decisions.The physics is slightly different.Small changes lead to big failures.
Business rules often evolve gradually rather than changing all at once.Testing new logic without disrupting live processes is critical.Traditional Apex-based approaches make this risky.
Data was clean initially, but inconsistencies have crept in. Fields mean different things across records. Reports are harder to trust. I want to understand why this happens.
Salesforce business logic often changes as policies, SLAs, and products evolve.Maintaining these changes through Apex or Flow can become slow and deployment-heavy.Teams need a way to adapt decision logic without constant code updates.