> ## Documentation Index
> Fetch the complete documentation index at: https://docs.jeanmemory.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Adapt to your data

> Create and evaluate a model version for your catalog.

1. **Prepare.** Import your catalog and events using the [data format](/data-format).
2. **Choose.** Select a base model and compatible tokenizer with the team.
3. **Train.** [Create an adaptation job](/api/create-adaptation) for next-item prediction.
4. **Evaluate.** Compare against popularity, a task baseline, and the unadapted model on a temporal holdout.
5. **Activate.** Receive a new model ID after the evaluation is reviewed. The base version stays unchanged.

The result includes the dataset snapshot, split dates, tokenizer, model version, and report.
A completed training job returns a candidate model; it does not silently replace a live deployment.

## What changes

Sending a history conditions one request. Adaptation changes model weights using an approved
dataset. Neither operation promises better results on every task.

Adaptation is a managed beta workflow. Timing and supported base models are confirmed at
onboarding. Training from scratch is identified separately from adapting a pretrained model.