Practical insights
- 1000published
- 25in review
- 8topic families
Results
- Give every extracted field an explicit unknown value so the model is not forced to invent
An extraction schema requires a booking reference, a fare class and a travel date for every complaint email.
easypractitioner heuristic - Supply context instead of personas, because role prompts do not add knowledge
A prompt starts by telling the model it is a world-class revenue-management expert, and the team expects better pricing analysis as a result.
easyempirical finding - Deduplicate near-identical chunks before they crowd out other evidence
The corpus contains copies of the same policy in several places: the PDF, an intranet page and an email announcement.
easypractitioner heuristic - Label the evidence passages in your golden set, not only the expected answers
You are building the first evaluation set for a document assistant from real user questions.
easypractitioner heuristic - Normalise locale-specific numbers and dates before the model reads them
A Turkish fare notice lists 1.299,90 TL and 03.04.2025, and the model is asked to compare amounts and count days to departure.
easypractitioner heuristic - Hand a case to a human with a structured summary, evidence and attempted actions, not the transcript
An agent cannot resolve a baggage-delay claim and escalates to a human agent.
easypractitioner heuristic - Tag every model call with feature, tenant tier and prompt version so spend can be attributed
The monthly model invoice jumps 40% and nobody can say which feature, customer segment or release caused it.
easypractitioner heuristic - Capture the human's edit of a model draft as feedback, because the diff shows what was wrong
Agents edit AI-drafted customer replies before sending, and the only feedback collected is a thumbs-up on the draft.
easypractitioner heuristic