Add AI features to the software you already have

• The right model for the job: we compare Claude, GPT and Gemini on quality, speed and cost for your specific task.
• Structured outputs: responses in reliable formats your app can use, not loose text that breaks.
• Retrieval done properly: your documents indexed in a vector database, with answers grounded in sources.
• Evaluation: a test set of real inputs to measure accuracy before launch and after every change.
• Reliability: streaming responses, retries, timeouts and fallbacks between providers.
• Cost control: caching, prompt efficiency, usage logging and spending alerts.
• Privacy: business API terms that exclude training on your data, plus redaction of sensitive fields where needed.

1. 1

   Choose a package and pay online.

2. 2

   Technical brief:

   your stack, the feature, sample data and success criteria.

3. 3

   Prototype:

   we test models on your real examples and share the results.

4. 4

   Build

   the integration in your codebase, in a branch or pull request your team can review.

5. 5

   Evaluate

   accuracy, speed and cost against the agreed criteria.

6. 6

   Ship and document,

   with handover for your developers.

AI provider usage fees (billed to your account), major changes to your app unrelated to the AI feature, and hosting changes beyond what the feature requires.