---
id: "concept-expertise-elicitation"
type: "concept"
source_timestamps: ["00:31:09", "00:32:00", "00:33:38"]
tags: ["solution", "methodology", "knowledge-extraction"]
related: ["claim-first-agent-should-be-interviewer", "framework-structured-elicitation-workflow"]
definition: "A structured interviewing process used to extract invisible, tacit knowledge from an expert, converting it into explicit documentation that can be delegated to an AI agent."
sources: ["s08-real-problem-agents"]
sourceVaultSlug: "s08-real-problem-agents"
originDay: 8
---
# Expertise Elicitation

## Definition

A structured interviewing process used to extract invisible, tacit knowledge from an expert, converting it into explicit documentation that can be delegated to an AI agent.

## Why it's necessary

Because of the [[concept-expertise-paradox]], experts cannot simply 'write down what they do.' Their knowledge has been compiled (see [[concept-knowledge-compilation]]) into machine code that resists introspection. They require an **external force** to pull the information out of them.

## The proposal

The highest and best use of an AI agent is not to do work, but to act as an *interviewer* designed specifically for expertise elicitation. This is the central prescriptive claim of the entire video — see [[claim-first-agent-should-be-interviewer]] and [[contrarian-first-agent-interviewer]].

## What it looks like

The interviewer agent asks structured, sequential questions across five layers (see [[framework-structured-elicitation-workflow]]):
1. Operating rhythms
2. Recurring decisions
3. Dependencies
4. Friction
5. Compilation into markdown

The output is the structured markdown files (`soul.md`, `identity.md`, `user.md`, `heartbeat.md`) needed to configure a functional worker agent. See [[concept-markdown-as-agent-os]].

## Adjacent validation

Stanford HAI's 'Validating Claims About AI' framework recommends structured elicitation over ad-hoc prompts — empirical support that this approach generalizes beyond OpenClaw.

## Related
- [[action-run-interviewer-agent]]
- [[concept-the-benefits-cascade]]
- [[prereq-tacit-knowledge-extraction]]