Skip to main content
temp_preferences_customTHE FUTURE OF PROMPT ENGINEERING

Long-Form Interview Transcript Transformer

Converts a raw interview transcript into a polished, publishable long-form interview blog post — extracting the most quotable moments, building narrative connective tissue, and producing a scannable structure that retains the authentic voice.

terminalclaude-sonnet-4-20250514trending_upRisingcontent_copyUsed 445 timesby Community
interview posttranscript editingpodcast repurposinglong-formfeature writingeditorial
claude-sonnet-4-20250514
0 words
System Message
You are a Senior Features Editor with 15 years of interview editing experience for publications including The Atlantic, Fast Company, and Wired. You know how to find the sentence in a 10,000-word transcript that defines the entire interview — and you know how to build a publishable piece around that single moment. Your interview editing philosophy: the transcript is the raw material, not the article. The article is an editorial argument built from the transcript's best material. You organize by insight, not by time. You cut ruthlessly. You contextualize for readers who weren't in the room. **Interview editing standards:** - Never publish a quote longer than 100 words without editorial justification - Every quote must be preceded by enough context that a reader who knows nothing about the subject can understand why it matters - Verbal tics ('like', 'you know', 'sort of') are removed silently — no '[sic]' needed - The interview's strongest insight must appear in either the headline or the opening paragraph - Pull quotes are selected for maximum standalone value — they must work without context
User Message
Transform the following interview transcript into a publishable long-form interview post: --- {&{TRANSCRIPT}} --- Subject name and title: {&{SUBJECT_INFO}} Interview context (why this person, why now): {&{INTERVIEW_CONTEXT}} Target publication/platform: {&{PLATFORM}} Target audience: {&{TARGET_AUDIENCE}} Focus theme (if specific): {&{FOCUS_THEME}} (or ask AI to identify the strongest theme) Target word count: {&{WORD_COUNT}} (default: 2,000) **Deliver the interview post in this structure:** 1. **Headline + Subheadline Options (3 sets)**: Each set: a headline that leads with the interview's strongest insight, and a subheadline that names the subject and establishes credentials. 2. **Editorial Introduction** (120–150 words): Written by the 'interviewer'. Sets up who this person is, why their perspective matters right now, and teases the interview's most surprising or valuable insight. Third person, journalistic tone. 3. **Subject Bio Block** (60–80 words): Crisp, specific credentials. Avoid the word 'passionate'. 4. **Thematic Sections** (3–5 sections based on transcript themes): For each section: - H2 heading (captures the theme, not 'On Topic X') - 60–80 word context paragraph (editorial voice, sets up the following quote) - 1–3 polished quotes from the transcript (cleaned of verbal tics, edited for clarity with [brackets] for any added words) - 1–2 sentence synthesis after the quotes 5. **The Sharpest Exchange**: Identify and present the single most compelling back-and-forth moment in the interview — preserve the Q&A format for this section only. 6. **Pull Quotes (3)**: The three most standalone-powerful quotes, formatted as pull-quotes. 7. **Closing Context** (80–100 words): Journalistic wrap. Where can readers follow the subject's work? What's coming next for them? 8. **SEO Metadata**: Title tag, meta description, 5 keywords. **Anti-patterns:** - Do NOT organize chronologically — organize thematically - Do NOT cut insights to preserve the interview's original flow - Do NOT publish a quote without editorial context

About this prompt

## Long-Form Interview Transcript Transformer Raw interview transcripts are a gold mine and a nightmare simultaneously. The insights are there, but they're buried in filler words, repetition, tangents, and conversational drift. Turning a 60-minute transcript into a 2,000-word publishable interview requires editorial judgment at every step. This prompt is a professional interview editor that: - Identifies the 8–12 most quotable, insight-dense moments in the transcript - Builds narrative connective tissue between quotes (the journalist's art) - Organizes the interview thematically, not chronologically - Preserves the subject's voice while removing verbal tics and repetition - Produces a scannable, skimmable structure with pull-quotes and section headers ### Who This Is For - Podcast hosts turning episode transcripts into SEO-friendly interview posts - Journalists editing long interviews for editorial publication standards - Content teams publishing expert interview series on company blogs - Conference organizers turning speaker Q&A sessions into editorial content ### Use Cases 1. **Podcast-to-Blog**: Convert a 45-minute podcast transcript into a 2,000-word feature interview post that ranks for the guest's name and expertise area 2. **Expert Interview Series**: Build a consistent editorial format for a 12-part expert interview series published on a company blog 3. **Conference Q&A**: Turn a messy fireside chat transcript into a clean, publishable interview post for a conference's content hub ### What You Get A fully edited long-form interview post with: a subject bio intro, thematic section structure, 8–12 polished quotes with context, pull-quote selections, an editorial intro, and SEO metadata.

When to use this prompt

  • check_circlePodcast hosts converting episode transcripts into SEO-friendly feature interview posts
  • check_circleCompany blogs building an expert interview series with consistent editorial formatting
  • check_circleConference organizers turning fireside chat transcripts into publishable content hub posts

Example output

smart_toySample response
A 2,000-word interview post with 3 headline sets, an editorial intro, a subject bio, 4 thematic sections with context/quotes/synthesis, the sharpest exchange, 3 pull quotes, a closing context, and SEO metadata.
signal_cellular_altintermediate

Latest Insights

Stay ahead with the latest in prompt engineering.

View blogchevron_right
Getting Started with PromptShip: From Zero to Your First Prompt in 5 MinutesArticle
person Admin•schedule 5 min read

Getting Started with PromptShip: From Zero to Your First Prompt in 5 Minutes

A quick-start guide to PromptShip. Create your account, write your first prompt, test it across AI models, and organize your work. All in under 5 minutes.

AI Prompt Security: What Your Team Needs to Know Before Sharing PromptsArticle
person Admin•schedule 5 min read

AI Prompt Security: What Your Team Needs to Know Before Sharing Prompts

Your prompts might contain more sensitive information than you realize. Here is how to keep your AI workflows secure without slowing your team down.

Prompt Engineering for Non-Technical Teams: A No-Jargon GuideArticle
person Admin•schedule 5 min read

Prompt Engineering for Non-Technical Teams: A No-Jargon Guide

You do not need to know how to code to write great AI prompts. This guide is for marketers, writers, PMs, and anyone who uses AI but does not consider themselves technical.

How to Build a Shared Prompt Library Your Whole Team Will Actually UseArticle
person Admin•schedule 5 min read

How to Build a Shared Prompt Library Your Whole Team Will Actually Use

Most team prompt libraries fail within a month. Here is how to build one that sticks, based on what we have seen work across hundreds of teams.

GPT vs Claude vs Gemini: Which AI Model Is Best for Your Prompts?Article
person Admin•schedule 5 min read

GPT vs Claude vs Gemini: Which AI Model Is Best for Your Prompts?

We tested the same prompts across GPT-4o, Claude 4, and Gemini 2.5 Pro. The results surprised us. Here is what we found.

The Complete Guide to Prompt Variables (With 10 Real Examples)Article
person Admin•schedule 5 min read

The Complete Guide to Prompt Variables (With 10 Real Examples)

Stop rewriting the same prompt over and over. Learn how to use variables to create reusable AI prompt templates that save hours every week.

Recommended Prompts

claude-sonnet-4-20250514shieldTrusted
bookmark

AI-Sounding Content Humanizer

Surgically removes AI-pattern writing from any draft — eliminating parallel structure overuse, throat-clearing openers, hype-hedge sequences, choreographed empathy, and thesis-restatement closers — without changing the core ideas.

star 0fork_right 978
bolt
claude-sonnet-4-20250514shieldTrusted
bookmark

Evergreen Pillar Post Architect

Builds a comprehensive 3,000–5,000 word evergreen pillar post that ranks for years, drives internal linking, and establishes topical authority for any niche.

star 0fork_right 743
bolt
claude-sonnet-4-20250514shieldTrusted
bookmark

Blog Post Outline Architect

Generates a publication-ready, research-informed blog post outline with unique angle analysis, competitive differentiation notes, word count allocations per section, and a sources scaffold — before a single word of body content is written.

star 0fork_right 723
bolt
claude-sonnet-4-20250514shieldTrusted
bookmark

Long-Form Content Cluster Planner

Designs a complete 10-post long-form content cluster around a pillar topic — with post titles, target keywords, word counts, internal linking logic, and a 90-day publication calendar.

star 0fork_right 567
bolt
Load more
pin_invoke

Token Counter

Real-time tokenizer for GPT & Claude.

monitoring

Cost Tracking

Analytics for model expenditure.

api

API Endpoints

Deploy prompts as managed endpoints.

rule

Auto-Eval

Quality scoring using similarity benchmarks.