
Writing
Verified, Not Trusted: Expense Analysis, Part Two
Imperative Python controls expense analysis and verifies model contributions through source evidence, reconciliation, and exact calculations. Models handle bounded judgments.

Topic
Designing processors, engines, and gateways that call language models, and keeping that machinery testable.
3 pages

Writing
Imperative Python controls expense analysis and verifies model contributions through source evidence, reconciliation, and exact calculations. Models handle bounded judgments.

Writing
Jev makes bounded semantic judgments with Choice, Score, and Noul; code handles exact work and policy, while evaluation and confidence gates determine when to act or escalate.

Writing
Jev can shorten LLM context by scoring which tool events a current question still needs. A recorded Noul response and Python retention code show what stays and why the threshold matters.