I realized my AI product was taking the wrong path

That's such a hard realization to have after putting in work. How'd you know it was the wrong path—was it the metrics, user feedback, or just a gut feeling that something was off?

This is one of the more honest pivot posts I've seen — most founders reframe the wrong turn as "intentional learning" but you just called it what it was.
The car/fuel/itinerary metaphor is sharp. The real unlock for non-developer users is probably that the "itinerary" (business logic) doesn't require them to think like engineers. They just need to describe what they already do — and have the agent handle the stitching.
The copy-paste between ChatGPT, CRM, email, and docs is genuinely one of the most painful parts of knowledge work right now. If Mozart can abstract that layer away for non-technical users, the TAM shift makes total sense.
Curious — are you thinking workflow templates as the onboarding wedge, or something more freeform?

The "entry point vs vision" framing is a useful distinction. A lot of founders conflate the two and think they need to change the vision when really they just need to find a different on-ramp.

The copy-paste-between-tools problem you're describing is real and underserved. The people most aware of the friction are usually technical (so they become early adopters) but the people with the most pain are often in roles where AI is adjacent to their work — ops, marketing, sales — and they're still doing most orchestration manually.

One thing worth pressure-testing early: is the pain primarily in the "switching between tools" step, or is it in the "remembering context across sessions"? Those lead to different product shapes. If it's the former, integrations are the core. If it's the latter, memory/persistence is the core. Seems like Mozart is moving toward the second, which is the harder but potentially more durable problem.

What does your current user activation loop look like? Curious how fast users hit the "aha" moment with the new direction.

This resonates. I went through almost the same loop with DictaFlow, focused on dictation quality and AI refinement early on, but what actually mattered to most users was just making it easier to get thoughts into different tools fast. Your line about people being "stuck copying and pasting between ChatGPT, files, documents, CRMs, emails, and business tools" is exactly the pain point I keep hearing. The cross-app typing problem is bigger than any single AI feature, and it's kind of invisible until you run into it. Curious where you landed on the entry point, are you thinking browser extension, system-level overlay, or something else for Mozart?

I'd be careful with one thing.

The risk may not be that developers are the wrong audience. The risk may be treating "more people can use it" and "more people will buy it" as the same decision.

Those often look identical early on and then diverge later in painful ways.

That's not a call I'd make casually because it can end up shaping months of product, positioning, and customer conversations.