AI Product Development
The product is the workflow, not the model
Models are interchangeable within months. The workflow you own — and the data it generates — is the durable asset.
Teams who build "a GPT wrapper" are right to be nervous. Teams who own a workflow end to end — ingestion, decision, action, feedback — have a product that improves with every model release.
Design for model swap
Every AI product we build routes through a provider abstraction. When a better or cheaper model appears, it is a configuration change, not a rewrite.
More insights
From prototype to production: why most AI pilots never ship
The demo works. The pilot impresses. Then nothing happens. The gap is not the model — it is everything around it.
Designing agents with a boundary around autonomy
Autonomous agents are only useful if you can trust what they will not do. The boundary is the product.
Language-first design for citizen services
If a service only works in two languages, it only works for some citizens. Voice and translation change what is possible — if you design for them from the start.