Building Production-Grade Apps Without the AI Roulette: Rickard Hansson's Deterministic Approach to AI Development
We have a special return episode, by our good friend Rickard Hansson. Rickard joined us previously on the podcast in Season 8to tell the creation story of Weavy - collaboration infrastructure for serious builds. Today, he makes a follow up visit to tell us all about Gainable, his new project - which removes data and engineering from being the middle man, and enables your team to build the apps they need now.
Questions;
Last time we talked in Season 8, you were building Weavy. Whats happened since we last talked with that company?
Tell me about Gainable - give me the pitch there, and tell me why this is the right approach to using AI.
Most AI builders wire straight to a frontier model and wait for the next release to fix the gaps. I didn't. Where does the model actually sit in Gainable product, and why only there?
Why is an app factory that is deterministic important? Dig into that.
You use the term "free-range coding".. what does this mean? Unpack the phrase for us.
You point out that tokens still appear to be heavily subsidized to me. What do you mean by that, and what happens to all these AI products when that ends?
We've all read the headlines - Fable 5 got switched off by the government for 18 days. Why do you see this as a turning point, not a footnote?
You suspect flat subscriptions for the top models are done, and it all drifts to credit-based. What signal are you seeing that tell s you this?
If the model is a commodity everyone rents, where's the moat?
What is next for Gainable, and how can someone get started using the platform?
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