…
and…
. We need to include the e-book promotion paragraph at the end exactly as given. We must not use placeholders; must be complete actionable content. We need to count words between 450-500. Let’s aim for ~470 words. We need to start with title line: “Title: …” then newline newline then HTML content. The title line is not counted? Probably counts as part of article? Safer to include it in word count? Usually they count content words. We’ll include title line separate; but we can count words in body only. Safer to keep body within 450-500. Title line not counted? We’ll assume they count whole output after “Title: …”. We’ll include title line then blank line then HTML. We’ll count words in the HTML content only? Hard to know. Safer to make total words (including title line) within range. Let’s aim for ~470 words total. We’ll write content with headings and paragraphs. Let’s draft ~470 words. We’ll need to incorporate facts from e-book: example of refinement, example, prompt template, prompt for outline generator bullet list items. We’ll embed those as actionable steps. We must not use placeholders; write complete content. Let’s craft. We’ll count words manually. I’ll write then count. Draft:Why Automate Transcript Review?
Ghostwriters spend hours listening to recordings, typing notes, and searching for themes. AI can cut that time by turning raw interview transcripts into concise summaries and structured chapter outlines in minutes.
Step 1: Prepare Clean Transcripts
Upload the verbatim transcript to a text‑processing tool (e.g., Whisper‑generated .txt). Remove speaker labels if they clutter the AI, keep timestamps only for reference.
Step 2: Generate a One‑Sentence Theme Summary
Use this prompt template:
Prompt: “Summarize the interviewee’s core message in one sentence, highlighting the main challenge, action taken, and result.”
Example output: “The client overcame many obstacles by shifting strategy when data revealed a flaw, leading to a breakthrough product launch.”
Step 3: Extract Key Themes with Labels and Emotional Arcs
Apply the following prompt to each thematic block:
Prompt for Theme Extraction:
- A one‑sentence description of the theme.
- A short label (2–4 words).
- A suggested emotional arc (e.g., starts with a problem, builds tension, resolves with insight).
Example:
Description: The client’s team succeeded not by grinding harder, but by changing direction when data showed a problem.
Label: Strategic Pivot
Emotional arc: Problem → Discovery → Resolution
Step 4: Build Chapter Outlines
Use this outline generator prompt for each theme:
Prompt for Outline Generator:
- One‑sentence description of the chapter’s core argument.
- Short label (2–4 words) matching the theme.
- Suggested emotional arc.
- Add genre knowledge (e.g., leadership books need a final “call to action” chapter).
- Note any contradictions or tensions in the transcript.
- Propose an engaging, descriptive chapter title.
- Verify that enough interview material exists; merge thin themes.
Example output:
Chapter Title: “Resilience through Strategic Pivots, Not Blind Persistence”
One‑paragraph summary: The client learned that true resilience comes from adapting tactics when evidence signals a misstep, rather than persisting unchanged.
Quote: “We just kept going.”
Quote: “We stopped the project, re‑evaluated, and came back with a completely different approach.”
Theme: Resilience through strategic pivots, not blind persistence
Step 5: Refine and Order Chapters
Arrange chapters to follow a logical flow: problem → solution → application. Review each outline for sufficient source quotes; if a theme has only one line, merge it with the next strongest theme. Add transitions that reinforce the narrative arc.
Practical Tips
• Run the AI in batches of 5–10 minutes to avoid token limits.
• Keep a master spreadsheet of labels, quotes, and emotional arcs for quick reference.
• Use the AI‑generated outline as a first draft; then inject your voice and client‑specific anecdotes.
For a comprehensive guide with detailed workflows, templates, and additional strategies, see my e-book: AI for Ghostwriters (Non-Fiction): How to Automate Interview Transcript Summarization and Chapter Outline Creation.
Now count words. We need to count words in the entire output after “Title: …” including the title line? Let’s count everything after “Title: ” line. I’ll copy text and count manually. Title line: “Title: AI and ai: Automating Transcript Review for Non-Fiction Ghostwriters” Words: Title:(1) AI(2) and(3) ai:(4) Automating(5) Transcript(6) Review(7) for(8) Non-Fiction(9) Ghostwriters(10). So 10 words. Then blank line (no words). Now we go through each block. I’ll count words per paragraph/heading. I’ll create a list. 1.Why Automate Transcript Review?
Words: Why(1) Automate(2) Transcript(3) Review?(4) => 4 2.Ghostwriters spend hours listening to recordings, typing notes, and searching for themes. AI can cut that time by turning raw interview transcripts into concise summaries and structured chapter outlines in minutes.
Count: Ghostwriters(1) spend2 hours3 listening4 to5 recordings,6 typing7 notes,8 and9 searching10 for11 themes.12 AI13 can14 cut15 that16 time17 by18 turning19 raw20 interview21 transcripts22 into23 concise24 summaries25 and26 structured27 chapter28 outlines29 in30 minutes31. => 31 words. 3.Step 1: Prepare Clean Transcripts
Words: Step1? Actually “Step” “1:” “Prepare” “Clean” “Transcripts”. Let’s count: Step(1) 1:(2) Prepare(3) Clean(4) Transcripts(5) =>5 4.Upload the verbatim transcript to a text‑processing tool (e.g., Whisper‑generated .txt). Remove speaker labels if they clutter the AI, keep timestamps only for reference.
Count: Upload1 the2 verbatim3 transcript4 to5 a6 text‑processing7 tool8 (e.g.,9 Whisper‑generated10 .txt).11 Remove12 speaker13 labels14 if15 they16 clutter17 the18 AI,19 keep20 timestamps21 only22 for23 reference24. =>24 5.Step 2: Generate a One‑Sentence Theme Summary
Words: Step(1) 2:(3) Generate(4) a(5) One‑Sentence(6) Theme(7) Summary(8) =>8 6.Use this prompt template:
Words: Use1 this2 prompt3 template4. =>4 7.Prompt: “Summarize the interviewee’s core message in one sentence, highlighting the main challenge, action taken, and result.”
But we used paragraph for prompt? Actually we hadPrompt: “Summarize the interviewee’s core message in one sentence, highlighting the main challenge, action taken, and result.”
. Let’s count that. Paragraph: Words: Prompt:(1) “Summarize2 the3 interviewee’s4 core5 message6 in7 one8 sentence,9 highlighting10 the11 main12 challenge,13 action14 taken,15 and16 result.”17 =>17 8.Example output: “The client overcame many obstacles by shifting strategy when data revealed a flaw, leading to a breakthrough product launch.”
Count: Example1 output:2 “The3 client4 overcame5 many6 obstacles7 by8 shifting9 strategy10 when11 data12 revealed13 a14 flaw,15 leading16 to17 a18 breakthrough19 product20 launch.”21 =>21 9.