…
). So we need to embed those comments for each block? Probably they want each paragraph wrapped with that comment. We’ll produce title line then maybe an h2 heading with block comment. We must ensure word count between 450-500 words inclusive. Let’s aim for ~470 words. We need to include the title line: “Title: …” and then after that a newline then HTML content. Title must be SEO-friendly, include “AI” and “ai”. Eg: “Title: AI Automation for Ghostwriters: How AI Turns Interview Transcripts into Gold”. That includes AI and ai? It has AI uppercase and maybe need lowercase “ai”. Could include both: “AI and ai”. Let’s do: “Title: AI Automation for Ghostwriters: How ai Turns Interview Transcripts into Gold”. That includes both. Now content: We’ll produce several sections: Introduction, Actionable Steps (maybe using headings), Table example, Prompt examples, Insight statement framework, Ethical guardrails, Scoring system, Final tips, and then e-book promotion paragraph. We must use HTML paragraphs and headings with wp block comments. For simplicity, we can use:Section Title
Then paragraphs:Text.
We’ll need to count words. Let’s draft content then count. We’ll write: Title line: Title: AI Automation for Ghostwriters: How ai Turns Interview Transcripts into Gold Then blank line. Then content. Let’s draft. We’ll need to include a table in the document as per facts: “AI-assisted sifting: Create a table in your document and ask your AI tool to fill it:” So we need to show a table example. Use HTML| Transcript Excerpt | AI Summary |
|---|---|
| [Paste 2‑3 minute segment] | [AI output] |
The table forces the AI to focus on the segment you highlight, making it easier to spot core ideas versus filler.
2. Extract Nuggets and Question Them
For each nugget the AI returns, ask three questions:
- What is the core idea being expressed?
- What unique experience or perspective does the expert add?
- Does any later part of the interview qualify or contradict this point?
3. Craft Insight Statements
Combine the answers into a one‑sentence “Insight Statement” using the framework:
[Core Idea], but [Expert Twist] because [Specific Experience].
For example, from a 90‑minute interview with a cybersecurity CEO:
“Threat modeling is essential, but we prioritize attacker‑centric scenarios because our red‑team exercises revealed that 78 % of breaches start with social engineering.”
4. Apply Ethical Guardrails
- Fact‑check every number or claim; AI can hallucinate statistics that sound plausible.
- Contextualize each insight with the expert’s original voice—listen to the audio or read the surrounding transcript.
- Never copy‑paste AI‑generated insight statements directly; rewrite them in your client’s voice.
- Discard any insight that feels generic after refinement; aim for five original nuggets rather than twenty mediocre ones.
5. Score and Filter
Use a simple scoring system (0‑2) for each insight:
- 0 = generic or duplicated
- 1 = solid but needs nuance
- 2 = fresh, authoritative, and directly tied to the expert’s experience
Keep only the items scoring 2; if a nugget falls to 0 or 1 after you add missing details (specific names, steps, dates), discard it.
6. From Insights to Chapter Outline
Arrange the retained insights in logical order, turning each into a heading or sub‑heading. Add brief transition sentences that you write yourself, then expand each section with supporting anecdotes and data from the interview. The result is a chapter outline that feels both expert‑driven and uniquely yours.
By combining AI‑assisted sifting, targeted questioning, and a disciplined scoring filter, you transform raw interview transcripts into gold‑standard content without sacrificing authenticity or ethical standards.
Now we need to add the e-book promotion paragraph at the end.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 we need to count words. Let’s count manually. I’ll copy the content (excluding title line) and count words. I’ll write a plain text version to count. Title line not counted? Usually title counts as part of article? They said article must be between 450-500 words. Likely includes everything after title? Safer to include title line words as well. We’ll count everything after “Title:” line inclusive. Let’s get the full text after “Title: ” line. I’ll reconstruct the article as plain text (strip HTML tags and comments) for counting. Title: AI Automation for Ghostwriters: How ai Turns Interview Transcripts into Gold Paragraph1: Ghostwriters who work on non‑fiction books spend hours listening to interviews, pulling out the nuggets that will shape a compelling chapter. AI can accelerate that process, but only if you guide it with clear prompts and a disciplined workflow. Heading2: 1. Set Up an AI‑Assisted Sifting Table Paragraph2: Create a simple two‑column table in your document: Column A for the raw transcript excerpt, Column B for the AI‑generated summary. Feed the transcript to your summarizer with a specific prompt such as: Table (we’ll count words inside maybe but we can approximate). Table content: “Transcript Excerpt”, “AI Summary”, “[Paste 2‑3 minute segment]”, “[AI output]”. That’s few words. Paragraph3: The table forces the AI to focus on the segment you highlight, making it easier to spot core ideas versus filler. Heading2: 2. Extract Nuggets and Question Them Paragraph4: For each nugget the AI returns, ask three questions: List items: – What is the core idea being expressed? – What unique experience or perspective does the expert add? – Does any later part of the interview qualify or contradict this point? Heading2: 3. Craft Insight Statements Paragraph5: Combine the answers into a one‑sentence “Insight Statement” using the framework: Pre block: [Core Idea], but [Expert Twist] because [Specific Experience]. Paragraph6: For example, from a 90‑minute interview with a cybersecurity CEO: Pre block: “Threat modeling is essential, but we prioritize attacker‑centric scenarios because our red‑team exercises revealed that 78 % of breaches start with social engineering.” Heading2: 4. Apply Ethical Guardrails Paragraph7: List: – Fact‑check every number or claim; AI can hallucinate statistics that sound plausible. – Contextualize each insight with the expert’s original voice—listen to the audio or read the surrounding transcript. – Never copy‑paste AI‑generated insight statements directly; rewrite them in your client’s voice. – Discard any insight that feels generic after refinement; aim for five original nuggets rather than twenty mediocre ones. Heading2: 5. Score and Filter Paragraph8: Use a simple scoring system (0‑2) for each insight: List: – 0 = generic or duplicated – 1 = solid but needs nuance – 2 = fresh, authoritative, and directly tied to the expert’s experience Paragraph9: Keep only the items scoring 2; if a nugget falls to 0 or 1 after you add missing details (specific names, steps, dates), discard it. Heading2: 6. From Insights to Chapter Outline Paragraph10: Arrange the retained insights in logical order, turning each into a heading or sub‑heading. Add brief transition sentences that you write yourself, then expand each section with supporting anecdotes and data from the interview. The result is a chapter outline that feels both expert‑driven and uniquely yours. Paragraph11: By combining AI‑assisted sifting, targeted questioning, and a disciplined scoring filter, you transform raw interview transcripts into gold‑standard content without sacrificing authenticity or ethical standards. Promo paragraph: 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 let’s count words. I’ll count each segment. I’ll write a list and sum. Title line: “AI Automation for Ghostwriters: How ai Turns Interview Transcripts into Gold” Count words: AI(1) Automation2 for3 Ghost