If you're a founder or operator who's been pitched an AI agent in the last six months, you already know the noise level is high. Every vendor has a deck. Most of them oversell. Here's the direct answer: AI agents make sense when a business process is repetitive, rule-governed, and built on clean, accessible data, and they don't make sense when the process still requires human judgment, the underlying data is a mess, or the "problem" isn't actually a bottleneck yet.
When a sales team isn’t hitting its numbers, the instinct is almost always the same: more calls, more emails, more activity. Tom Stearns and Peter Cleary have spent decades watching that instinct backfire. The real issue, they argue, is rarely effort. It’s the absence of a repeatable, data-driven playbook that translates what a founder knows into something a growing team can actually execute.
Vibe coding can get a SaaS MVP live fast. Here's what actually breaks as you scale, and how to know when it's time to bring in real engineering discipline.