The full answer
A useful generative AI application needs more than a model connection. Creuto designs the prompts, the data the model can see, the tools it can use, the format of its output and the checks that run before anything reaches a user.
For tasks that depend on your own information, the application retrieves relevant content from your documents or systems and gives it to the model as context, which keeps answers grounded and lets the application cite its sources.
Structured output is a common requirement. Instead of free text, the model returns data in a defined shape, such as extracted invoice fields or a classified support ticket, which your software can then process reliably.
Creuto's generative AI work includes ChatGPT-based solutions built on OpenAI models, as well as applications built on Claude, Gemini and Llama where those fit better. Model choice is revisited as providers release new versions.
Each application ships with logging and an evaluation set, so quality can be tracked over time and regressions are caught when prompts or models change.