A focused single-agent workflow for turning rough source material into a strategic first-person chapter draft with explicit revision loops.
Use this workflow when an author has voice notes, fragments, or strategic notes, but not yet a clean chapter draft. The goal is not generic ghostwriting. The goal is to produce a chapter that strengthens category positioning, preserves the author's voice, and exposes open editorial decisions clearly.
| Agent | Role |
|---|---|
| Book Co-Author | Converts source material into a versioned chapter draft with editorial notes and next-step questions |
Activate Book Co-Author.
Book goal: Build authority around practical AI adoption for Mittelstand companies.
Target audience: Owners and operational leaders of 20-200 person businesses.
Chapter topic: Why most AI projects fail before implementation starts.
Desired draft maturity: First substantial draft.
Raw material:
- Voice memo: "The real failure happens in expectation setting, not tooling."
- Notes: Leaders buy software before defining the operational bottleneck.
- Story fragment: We nearly rolled out the wrong automation in a cabinetmaking workflow because the actual problem was quoting delays, not production throughput.
- Positioning angle: Practical realism over hype.
Produce:
1. Chapter objective and strategic role in the book
2. Any clarification questions you need
3. Chapter 2 - Version 1 - ready for review
4. Editorial notes on assumptions and proof gaps
5. Specific next-step revision requests
The Book Co-Author should respond in five parts:
Target OutcomeChapter DraftEditorial NotesFeedback LoopNext Step
- The draft stays in first-person voice
- The chapter has one clear promise and internal logic
- Claims are tied to source material or flagged as assumptions
- Generic motivational language is removed
- The output ends with explicit revision questions, not a vague handoff