User Guides

Practical notes for teams buying or operating AI workflows.

Start with the workflow, buyer risk, pilot scope, and operating result. Technical details appear only where they help you decide whether the workflow can be trusted.

Model Cost And Privacy

Use frontier models only where they matter.

Flev workflows can route routine, structured steps to local or private small models while keeping stronger models available for complex reasoning.

01

Routine steps

Classification, extraction, validation, routing, and repair do not always need the most expensive model in the stack.

02

Reviewable routing

Teams should be able to see which model handled which step, why fallback exists, and who can approve changes.

03

Small-model ready

Better Call evidence shows tool-call accuracy improving from 73.4% to 83.8% on 3,625 granite4.1:3b BFCL v4 cases.

Read the model choice guide