Start where inputs are already structured
Batch classification, support routing, lead scoring, and evaluation scripts are good first Python tasks because the input record and downstream action are already visible.
Keep schemas beside the code
Store instructions and criteria in source control, review changes like code, and pin the model used for a benchmark. A small fixture file is more useful than relying on memory after a provider update.
Validate network and decision failures separately
Timeouts, authentication errors, and malformed responses are transport failures. Low confidence or an unwanted answer is a decision failure. They need different logs and often different retry policies.
python / requests
import requests
response = requests.post(
"https://your-app.example/api/jev/evaluate",
json={"state": ticket, "questions": questions},
timeout=20,
)
response.raise_for_status()
decision = response.json()