I did not set out to build a productised service. It came out of noticing I kept doing the same three things, in the same order, for businesses that had very little in common.
Initially at Plain Logic, I kept the positioning deliberately broad. Practical AI for New Zealand businesses. The kind of language that doesn't close any doors.
The 'SaaS is dead, just use APIs' narrative has an element of truth, but it's missing some grounded perspective.
I'm not a designer. But I've found a workflow that turns code into a design tool — reframing the problem from creation to curation.
If a business already knew exactly what their high-value AI use cases were, they would be most of the way toward solving them. The real problem is we're asking employees to become product owners overnight.
Generic AI tools are easy to demo but hard to build into workflows. Here's why specialisation, not upskilling everyone, is the answer to turning AI hype into real value.
It feels a little weird to talk to a machine at first. Most people stop because of that initial friction. But the trade-off is huge.
The reality is, if that's all you do, you just 'vibe' yourself into a corner. To build something that actually works in production, you can't just be a prompter. You have to be an Orchestrator.
My brother tried to show me the future a few years ago. He's an early adopter; I'm usually the skeptic. He was showing me how he could use Gemini to book flights and manage life admin.
When I first sit down with a client, I'm there to listen. I want to hear about the problems you're running into in your own words.