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JevMade field notes / 10-step integration tutorial

Jev Engineering: 10 steps to make your agent brain 200x faster for $0.042 (full setup)

A Python and LangChain walkthrough of Jev’s three question types, batching decisions about shared state, routing agent models, and checking tool calls before execution.

Original by CarnageAgent workflowsX articleOriginal published Source reviewed

Before you dive in

What you’ll find in the original

  1. Start with one Noul, Choice, or Score question, then batch independent judgments about the same state into one request.
  2. Keep prose and planning with a generative model; use bounded decisions for routing and tool checks while code enforces permissions and side-effect policy.
  3. Instrument existing calls before migrating high-volume decisions, and test decision-specific confidence thresholds against labeled cases before automating actions.
Worth knowing

The price, latency, and speedup claims are the author’s, not independent benchmarks. Typed output prevents malformed answers, not wrong judgments; the example thresholds and pre-execution guardrail are not a substitute for deterministic permissions.