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The Verifier Pattern

June 8, 2026

Here's the problem: engineers spend roughly half their day reviewing agent output. Every "I created the table," "I added the foreign key," "I applied the migration" gets re-checked by hand. That review work is the binding constraint on agentic engineering throughput.

The verifier pattern solves this: a second, read-only agent that automatically checks every claim the builder makes.

Architecture

Builder (your terminal) ---unix socket---> Verifier (new window, input LOCKED)
  |                                            |
  v writes:                                    v reads (read-only tools):
  session.jsonl                                session.jsonl
  |                                            |
  <--- verifier_prompt (corrective feedback) ----'

The builder doesn't know the verifier exists. The verifier CANNOT write code — it only reads files, greps for evidence, and reports confidence.

The Confidence Ladder

LevelMeaningBar Color
PERFECTEvery claim verified, zero gapsGreen
VERIFIEDAll passed, minor non-blocking gapsGreen
PARTIALNo failures, significant unverifiable gapsOrange
FEEDBACKClaims failed, correction sentOrange
FAILEDCannot verify, escalating to humanRed

Why This Works

  1. Spend tokens to save time — The verifier costs 2-5x more compute but collapses the review constraint from hours to seconds. Tokens are cheap. Your time is not.

  2. Structurally un-promptable — The verifier's input is locked. You can't drop one-off instructions into it. The only way to fix a verification gap is to edit the persona or the prompt template — improvements solve the entire problem class, not one instance.

  3. Defense in depth — The verifier has zero write tools. Even if compromised, it can't modify files. Its bash is restricted to read-only commands. This is the highest level of control you can give an agent.

The Feedback Loop

Every "could not verify" report becomes the next improvement. The verifier teaches you what your verifier is missing. This is how you build the system that builds the system.


This is an excerpt from Module 3 of the Agentic Engineering Course. The full module includes runnable code for setting up the verifier-builder pattern with Unix socket communication and the confidence ladder.

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FDSA Agency — Agentic Engineering Course. Part of the fdsa.ai orchestration platform.