does auto-generated test coverage actually give your team real confidence?

Relying on AI to write unit tests for edge cases felt like a massive productivity win at first. our total repository test coverage percentage jumped significantly within just a few weeks. but during our last deployment audit, we noticed several generated tests were asserting mock data against hardcoded values rather than validating real function outcomes.

​how do you ensure that automated test suites are checking actual business logic instead of just inflating coverage metrics?