Generative AI Development Built Into Your Product

There are two costs: building the feature and running it. A discovery sprint from £2,000 defines the feature and estimates its cost per request; the build is then quoted as a fixed-price project, or delivered by a dedicated developer from £2,900 a month. Model and API fees are separate, paid to the provider on your account, and grow with usage — which is why we measure them before launch.

With written rules and real examples. We turn your style guide into instructions and example pairs, enforce the hard rules — spelling conventions, banned phrases, claims you cannot make — with checks in code rather than hope, and score every change against a set of outputs your team has approved.

Several layers: provider moderation on inputs and outputs, your own blocklists and classifiers for the topics that matter to your brand, limits on what users can request, and a flag button that sends bad output to a review queue. No filter catches everything, so the design assumes something will slip through and makes it quick to find and fix.

That depends on the model provider’s terms and on copyright law, so your legal adviser should decide how you use and disclose generated content. What we provide is the record behind it: which model, prompt version and inputs produced each output, and labelling of generated content wherever you want it.

We build an evaluation set from your own examples, agree a scoring rubric with the people who do the work today, and score outputs with automated checks, a grading model where it agrees with human reviewers, and people reviewing a sample. Every prompt or model change runs against it before release.

They should, and we design for it. Generated content arrives as an editable draft with regenerate and undo, and nothing is published without a person choosing to. We also record how much users change each draft, which is one of the most useful quality signals you can collect.

Yes. Open text models such as Llama or Mistral, and open image models, can run in your own cloud account, including in a UK region. They take more infrastructure work and can trail the largest hosted models on some tasks, so we compare both routes on your examples before recommending one.

We work in two-week sprints with a demo at the end of each. A single, well-scoped feature — listing descriptions or thread summaries, say — is usually measured in weeks, and discovery ends with a dated plan and the quality bar that defines done.

Yes, and most often as editing rather than generating from nothing: background removal, variants, resizing and inpainting of assets you already own, which are far easier to keep on-brand. Generating images of real people, logos or trademarks needs extra restrictions, which we build in and your legal team signs off.

A small team of onshore and offshore engineers working remotely on UK business hours, with a shared channel, weekly written updates and a demo every fortnight. You see prompts, evaluation results and cost figures as they change, not only the finished feature.