expert-interviewer

What problem does it solve?

Extracts and preserves institutional and domain expertise that is otherwise lost to shallow notes or unfocused conversations, producing a coherent, audience‑appropriate artifact ready for review and publication.

Core Features & Use Cases

• Phase-driven interviewing: Enforces frame-setting, research integration, one-question-per-message interviewing, synthesis checkpoints, saturation detection, and a hard stop to avoid premature drafting.
• Evidence-first drafting and review: Generates a traceable first draft tied to interview answers and research, runs an automated content-review sub-agent, and requires structured user approval before publishing.
• Use Cases: Capture subject-matter knowledge for wikis, create reference docs during employee transitions, and produce problem-space overviews for product or engineering teams.

Quick Start

Conduct a structured expert interview to capture the payments domain for a wiki page by following the phase checklist, synthesizing after each answer, and producing a draft for automated review and user approval.