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Get Started Free →Plan and synthesize pre-draft reader conversations for useful nonfiction books, including listening interviews, teaching calls, reader-language capture, promise validation, scope refinement, and TOC testing. Use when validating a practical book idea, finding target readers, preparing interview prompts, testing a table of contents, or turning reader conversations into book decisions.
| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-13 | ✗→✓ | ▲ Improved | 30% | 0% |
| case-01 | ✗→✓ | ▲ Improved | -30% | 0% |
| case-02 | ✗→✓ | ▲ Improved | 15% | 0% |
| case-03 | ✗→✓ | ▲ Improved | -19% | 0% |
| case-07 | ✗→✓ | ▲ Improved | 19% | 0% |
Reader conversations are product discovery for useful nonfiction. The goal is not to ask whether people like a book idea. The goal is to understand the reader's real situation, language, failed attempts, urgency, objections, and ability to receive the value the book intends to deliver.
Use this skill before or during drafting to:
| Need | Read | |------|------| | Core model and terminology | references/core/knowledge.md | | Interview and synthesis rules | references/core/rules.md | | Example prompts and synthesis patterns | references/core/examples.md | | Fast setup and review checklist | references/core/checklist.md | | Run a conversation round | workflows/run-reader-conversations.md |
Choose one primary question for this round:
Do not mix early listening with pitching unless the user is explicitly running a teaching conversation.
Start with friendly first contacts, existing readers, community members, customers, students, or people already trying to solve the problem.
Avoid cold outreach unless no warm path exists. If nobody relevant will talk, treat that as a scope or access problem rather than a scheduling problem.
Use two modes:
After each batch, update:
Recommend one of:
book-toc-lab.reader-experience-edit or beta-reader-feedback.When helping with reader conversations, return:
Keep the conversation about the reader's life before the author's idea. Prefer observed behavior, concrete stories, and exact reader language over opinions, compliments, or predictions.
Other measured skills in the registry, with their headline benchmark lift.