A utility crew comes back from the field with hundreds of photos, a stack of technician notes, and a few assets that “looked a little off.” Then what?
"Validated web MVP" and "real mobile app your users can download" are two very different things. And the gap between them is bigger than most founders expect, because it's not a gap you can prompt your way across.
AI can extract the relevant fields, match the same data across documents, flag discrepancies, and log why each result was accepted or escalated.
A new insurance claim can come with a surprisingly messy pile of information. There might be photos of the damage, a policy PDF, a claim form, emails from the customer, and several paragraphs of notes from an adjuster.
A farmer reports hail damage across 400 acres. The insurer now needs to answer a simple question: did the storm actually damage this specific field, and how much?
Open LinkedIn today and you will probably see vibe coding everywhere. Someone built an app in a weekend. Someone else says they replaced an entire development team with a few prompts.
Healthcare has always run on a simple loop: something goes wrong, a person notices, and only then does treatment begin. This is AI preventive healthcare in practice, and it depends on AI health risk scoring models that turn raw physiological data into something a person can actually act on.
Thunkable doesn't let you export your source code, so migrating means a rebuild. Here are your four options and how to move without losing users or reviews.
For the past three years, "AI strategy" mostly meant "which API do we call." That's changing. A growing number of product and engineering teams are pulling specific AI workloads out of the cloud and running them directly on the user's device.
