A clear task
Choose one output your team can review consistently. Define what a good result looks like before you change the model.
DEEPDENSE / USE CASES
Big possibilities.
Specific starting points.
Start with a task you can define. Bring examples you can trust.
Make improvement something you can measure.
01 / Document extraction
Messy documents. Consistent structure.
Define the fields that matter, collect representative documents, and measure whether outputs match your schema.
Invoice text, purchase orders, internal reportsConsistent JSON fields
Explore the workflow 02 / Support routing
Every request. The right category.
Build a clear vocabulary for incoming requests and test the distinctions that generic models often miss.
Support tickets and customer messagesDomain-specific categories
Explore the workflow 03 / Domain assistants
An assistant that knows the task.
Specify the behavior you want from a specialist assistant, with examples and checks that make quality easier to discuss.
Task instructions and reviewed conversationsResponses shaped by your workflow
Explore the workflow 04 / Catalog enrichment
A richer catalog. A clearer standard.
Turn inconsistent product descriptions into a shared attribute vocabulary, with explicit rules for what can be inferred.
Product descriptions and existing metadataNormalized product attributes
Explore the workflow A GOOD FIRST EXPERIMENT
Narrow enough to test.
Useful enough to matter.
Representative examples
Include typical inputs and difficult cases. Keep evaluation examples separate from your training data.
A visible baseline
Compare against your current approach. Inspect errors as well as aggregate scores.