Services / AI Applications
The model, inside the product.
Assistants and tool-calling features built around a job the user already does. The interface, retrieval, limits, and logs ship with the rest of the product. The first version uses a hosted model and your data.
What ships
- A feature users can run on their real work
- A model path you can swap without rewriting the app
- Limits, logging, and a human fallback
Typical delivery
- Product UI for the assistant or agent
- Prompt, retrieval, and tool-calling setup
- Evaluation notes for the first real tasks
Questions
- Do you train a model from scratch?
- The first version uses a hosted model and your data, inside the product. Training is a later decision, after the feature is in production.
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