The Override Problem: What Happens After Your System Makes a Recommendation

I shipped a feature last week I hadn't planned to build.

Not because I suddenly had a great idea. Because someone asked me a question I couldn't answer.

I was in a conversation with a founder who builds AI sales agents, the kind of product that captures CRM signals and fires automated outreach based on what the data says. He'd been looking at MDU Engine, a decision-support tool I've been building for performance marketers, and he asked what I thought was a simple question:

"Does the system know what happened after it made a recommendation?"

I paused.

It didn't.

And the more I sat with that, the more I realised it was the most important gap in the product, not a nice-to-have, not a future roadmap item, but a fundamental blind spot in how the system understood itself.

Why this matters more than you'd think

MDU Engine evaluates whether campaign...

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