Most AI engagements start with a model selection and end with a prompt. Ours starts with reading and ends with a handover. The phases below describe what happens in between.
Listen.
We spend the first week reading. Catalogues, internal memos, founder interviews, press, competitor silence. We develop a thesis about what the brand refuses to say as much as what it says.
Architect.
We design the data pipeline, define the training strategy, and build the evaluation framework. Nothing is trained until we agree on what "correct" means for this specific voice.
Build.
Iterative fine-tuning with continuous evaluation against the brand brief. We run fitting sessions — structured reviews where the founders and editorial team pressure-test outputs against real use cases.
Deploy & Own.
We hand over the weights, the infrastructure, and the documentation. You own everything. We train your team. We are available for 30 days of post-delivery support.
Ownership, not dependency.
Every engagement ends with a handover. The weights are yours, the infrastructure is yours, the documentation is yours. We do not sell subscriptions to our own work.
Restraint over capability.
A brand model that knows what not to say is more valuable than one that can say anything. We spend as much time designing refusals as we do designing outputs.
Evaluation precedes training.
We do not start training until we have agreed on what "correct" means for this specific voice. That agreement is the hardest and most important part of the engagement.
Small is precise.
We take 4–7 commissions per year. This is not modesty. It is the only way to do this work properly. A studio that takes forty clients cannot listen to any of them.