AI integration that belongs in the product.
Most teams treat AI as a feature to switch on after launch. We integrate it at the product and architecture level. It shapes the data model, the failure modes, the retrieval layer, and the eval suite. Those decisions happen on day one, not week twelve. Models are infrastructure. Evals are tests. Prompts are code. We treat them with the same rigor as anything else that has to keep running under real production pressure.
Most teams treat AI as a feature to switch on after launch. We integrate it at the product and architecture level. It shapes the data model, the failure modes, the retrieval layer, and the eval suite. Those decisions happen on day one, not week twelve.
Models are infrastructure. Evals are tests. Prompts are code. We treat them with the same rigor as anything else that has to keep running under real production pressure.