Comment by JonathanFly

> Every time the LLM is slightly off target, ask yourself, "What could've been clarified?

Better than that, ask the LLM. Better than that, have the LLM ask itself. You do still have make sure it doesn't go off the rails, but the LLM itself wrote this to help answer the question:

### Pattern 10: Student Pattern (Fresh Eyes)

*Concept:* Have a sub-agent read documentation/code/prompts "as a newcomer" to find gaps, contradictions, and confusion points that experts miss.

*Why it works:* Developers write with implicit knowledge they don't realize is missing. A "student" perspective catches assumptions, undefined terms, and inconsistencies.

*Example prompt:* ``` Task: "Student Pattern Review

Pretend you are a NEW AI agent who has never seen this codebase. Read these docs as if encountering them for the first time: 1. CLAUDE.md 2. SUB_AGENT_QUICK_START.md

Then answer from a fresh perspective:

## Confusion Points - What was confusing or unclear on first read? - What terms are used without explanation?

## Contradictions - Where do docs disagree with each other? - What's inconsistent?

## Missing Information - What would a new agent need to know that isn't covered?

## Recommendations - Concrete edits to improve clarity

Be honest and critical. Include file:line references." ```

*Uses cases:* Before finalizing new documentation, evaluating prompts for future Agents.