Juhan Polinert

Why did you pick the SaaS / the niche that you picked? Do you have a vision of something that should exist?

Did you have a personal problem that you solved for yourself and now turned into a SaaS?

Imagine an AI agent responsible for routing inbound leads. Nothing crashes. No alerts fire. The workflow keeps running exactly as expected.

The problem is that the agent has slowly started sending high-value leads to the wrong queue. Maybe a few customer issues are being summarized inaccurately. Maybe records are being updated with small mistakes that seem harmless on their own. Each individual error is easy to miss. Over time, though, the impact starts to compound.

Those are the AI failures that interest me most because they rarely look like failures at first. There is no outage, no red warning message, and no obvious signal that something is wrong. The workflow continues operating, but the quality of the outcomes quietly drifts away from what the team intended.

That makes detection a different challenge altogether. It's less about system uptime and more about observation. Are there feedback loops? Quality checks? Escalation paths? Can someone spot a pattern before customers, revenue, or operations start feeling the effects?

most of the conversation around AI agents is about what they can do. faster, smarter, more autonomous. but i've been thinking about the other side of that question.

when you're building with agents, at some point you have to draw a line. this agent can read but not write. it can suggest but not send. it can book but not pay. somewhere, someone made that call.