- Audio processor CLI tool with 6-stage pipeline: transcribe (faster-whisper GPU), diarize (pyannote), detect segments (multi-signal classifier), remove commercials, split segments, analyze content (Ollama) - Post-show workflow doc for episode posts, forum threads, deep-dive blog posts - Training plan for using 579-episode archive for voice profiles and commercial detection - Successful test: 45min episode transcribed in 2:37 on RTX 5070 Ti - Sample transcript output from S7E30 (March 2015) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
277 lines
9.2 KiB
Markdown
277 lines
9.2 KiB
Markdown
# Post-Show Workflow: The Computer Guru Show
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## Overview
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After each live show, this workflow transforms the broadcast into multiple content pieces that extend the show's reach, deepen audience engagement, and build a searchable archive. The process starts with a debrief and produces 3 tiers of content.
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---
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## Phase 1: Post-Show Debrief (Same Day)
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### Input
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- Show prep file (`episodes/YYYY-MM-DD-topic/show-prep.md`)
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- Host's notes on what actually happened during the show
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### Debrief Questionnaire
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Create a file: `episodes/YYYY-MM-DD-topic/post-show-debrief.md`
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```markdown
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# Post-Show Debrief
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## Episode: [title]
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## Air Date: [date]
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### What Made It In
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- [ ] Segment 1: [topic] — Used / Modified / Cut
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- [ ] Segment 2: [topic] — Used / Modified / Cut
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- [ ] Segment 3: [topic] — Used / Modified / Cut
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- [ ] Segment 4: [topic] — Used / Modified / Cut
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- [ ] Segment 5: [topic] — Used / Modified / Cut
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- [ ] Segment 6: [topic] — Used / Modified / Cut
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### What Changed Live
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- Segments reordered? Which ones?
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- Topics expanded beyond prep? Which ones and why?
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- Topics cut short? Why? (time, audience reaction, breaking news)
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- Unplanned tangents that worked well?
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### Caller/Audience Interaction
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- Caller topics and questions (summarize each)
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- Live chat highlights (if applicable)
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- Audience reactions that shifted the conversation
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### Unplanned Additions
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- Breaking news discussed
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- Personal stories / anecdotes shared
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- Technical demos or live troubleshooting
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- Guest appearances or call-ins
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### Best Moments
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- Strongest segment (what resonated most)
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- Best one-liner or quotable moment
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- Most engaging audience interaction
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- "Wish I'd said..." moments (capture for blog expansion)
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### Topics That Deserve More
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- What couldn't you finish due to time?
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- What generated the most audience interest?
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- What deserves a deep-dive blog post?
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- Follow-up stories to watch for next week?
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```
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---
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## Phase 2: Content Generation (Within 48 Hours)
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### Tier 1: Episode Post (Radio Show Website)
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**Target:** `website/src/content/episodes/s[SS]e[EE]-slug.md`
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**Purpose:** Canonical episode page with summary, chapters, and links
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**Structure:**
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```markdown
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---
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title: "S[X]E[X] – [Episode Title]"
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season: [number]
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episode: [number]
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pubDate: [air date]
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duration: "[HH:MM:SS]"
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audioUrl: "[podcast audio URL]"
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audioSize: [bytes]
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episodeType: "full"
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featured: [true for current episode]
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tags: [topic tags from show prep + debrief]
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chapters:
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- time: "00:00"
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title: "Introduction"
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- time: "MM:SS"
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title: "[Segment 1 title]"
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[...]
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---
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## Episode Summary
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[2-3 paragraph summary of what the show covered — written from the
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debrief, not just the prep. Captures what ACTUALLY happened, including
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unplanned moments, caller contributions, and tangents that worked.]
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## Topics Covered
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### [Topic 1 Title]
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[3-5 sentence summary with the key takeaway. Link to deep-dive blog
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post if one exists.]
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### [Topic 2 Title]
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[...]
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## Links & Resources
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- [Relevant links mentioned on air]
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- [Source articles referenced in prep]
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## Continue the Conversation
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- [Link to forum discussion thread]
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- [Link to related blog posts]
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```
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**Action items:**
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1. Generate episode markdown from show-prep + debrief
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2. Add chapter timestamps (from audio if available, estimated from segment timing if not)
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3. Create matching forum discussion thread (Flarum, tag: Show Discussion)
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4. Build and deploy website
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### Tier 2: Forum Discussion Thread (Community Forum)
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**Target:** Flarum forum at community.azcomputerguru.com
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**Tag:** Show Discussion (ID 8)
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**Purpose:** Ongoing conversation hub for each episode
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**Structure:**
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```
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Title: S[X]E[X] Discussion: [Episode Title] — [Air Date]
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Body:
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This week's episode: [Episode Title]
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[Brief 2-3 sentence hook — the most provocative or interesting
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angle from the show]
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Topics we covered:
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- [Topic 1] — [one-line teaser]
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- [Topic 2] — [one-line teaser]
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- [Topic 3] — [one-line teaser]
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What do you think? Drop your thoughts below.
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- Did we miss anything on [controversial topic]?
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- What's your experience with [relatable topic]?
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- [Specific question raised by a caller that others might want to weigh in on]
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Listen to the full episode: [link to episode page]
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Read our deep-dive on [topic]: [link to blog post]
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```
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### Tier 3: Deep-Dive Blog Posts (Radio Show Website)
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**Target:** `website/src/content/blog/[slug].md`
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**Purpose:** SEO-rich, shareable long-form content that expands on show topics
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**Selection criteria (from debrief):**
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- Topics that generated the most audience interest
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- Topics cut short due to time
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- Topics with strong search potential (trending tech news)
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- Topics where the host has unique expertise or perspective
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**Structure:**
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```markdown
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---
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title: "[Expanded Topic Title]"
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pubDate: [date, within 48h of show]
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description: "[SEO-friendly 150-char description]"
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author: "Mike Swanson"
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tags: [relevant tags]
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image: [optional hero image]
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---
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[Long-form article expanding on the show segment. NOT a transcript.
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This is the version you'd write if you had unlimited airtime:]
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- Background context the audience needs
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- The full argument with supporting evidence
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- Technical details simplified for general audience
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- What it means for regular people (the show's signature angle)
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- What to watch for next (forward-looking)
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- Host's personal take / opinion
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## Key Takeaways
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- [Bullet point summary for skimmers]
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## Related Episodes
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- [Links to past episodes that covered related topics]
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*This topic was discussed on [Episode Title], airing [date].
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[Listen to the full episode →](link)*
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```
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**Recommended: 1-3 blog posts per episode**, focusing on the strongest topics.
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---
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## Phase 3: Cross-Promotion & Engagement
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### Immediate (Day of Show)
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- [ ] Post episode page to website
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- [ ] Create forum discussion thread
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- [ ] Cross-link episode ↔ forum thread
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### Within 48 Hours
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- [ ] Publish deep-dive blog post(s)
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- [ ] Cross-link blog posts ↔ episode page ↔ forum
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- [ ] Update episode page with blog post links
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### Engagement Opportunities to Build Out
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#### Currently Missing (Identify & Prioritize)
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1. **Social media distribution** — No social accounts linked. Where does the audience hang out? Twitter/X? Facebook? Reddit? Mastodon?
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2. **Email newsletter** — Subscribe page exists but is placeholder. Mailchimp/Buttondown/self-hosted? Weekly digest of episode + blog posts?
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3. **Podcast distribution** — Audio URL points to Blubrry (legacy). Are new episodes going to Apple Podcasts, Spotify, etc.? RSS feed exists (`feed.xml.ts`) but needs verification.
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4. **Show notes SEO** — Episode pages need proper meta descriptions, Open Graph tags, structured data (PodcastEpisode schema).
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5. **Audiogram/clips** — Short audio or video clips of the best 60-90 seconds for social sharing.
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6. **Caller follow-up** — If callers raise topics, follow up in blog posts and tag them (builds loyalty).
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7. **"This Week in Tech" roundup email** — Repurpose the show prep Quick Headlines into a weekly email blast.
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8. **Community forum engagement** — Seed discussion threads with provocative questions, not just summaries. Respond to replies.
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9. **Guest booking pipeline** — The show prep references industry topics where expert guests would add value. Track potential guests.
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10. **Analytics-driven topic selection** — Use Matomo data to see which episode pages and blog posts get the most traffic, inform future show prep.
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---
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## Automation Opportunities
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### What Claude Can Do Now
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- Generate episode post from show-prep + debrief
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- Generate forum discussion thread
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- Generate deep-dive blog posts from show prep segments
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- Post to forum via Flarum database insert
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- Build and deploy website via Astro build + rsync
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- Track analytics via Matomo
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### What Needs Setup
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- Podcast audio hosting for new episodes (Blubrry? Podbean? Self-hosted?)
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- Social media API access (for automated posting)
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- Newsletter platform (for automated digest)
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- Audio processing pipeline (for audiograms/clips)
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---
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## File Structure
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```
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episodes/
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YYYY-MM-DD-topic/
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show-prep.md ← Pre-show (already exists)
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post-show-debrief.md ← NEW: Post-show notes
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generated/
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episode-post.md ← Generated episode page content
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forum-thread.md ← Generated forum discussion
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blog-topic-1.md ← Generated deep-dive blog post
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blog-topic-2.md ← Generated deep-dive blog post
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```
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---
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## Example: March 21 Episode
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If we ran this workflow for today's "Who's Really In Control?" episode:
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**Episode post:** S11E02 (or whatever the current season/episode numbering is)
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**Forum thread:** "S11E02 Discussion: Who's Really In Control? — March 21, 2026"
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**Blog post candidates (from show prep):**
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1. "The White House AI Framework: What It Actually Says and Why It Matters" — Strong SEO potential, timely, unique angle (preemption vs. state laws)
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2. "NVIDIA's Trillion-Dollar Bet: How One Company Controls the AI Revolution" — Evergreen explainer, strong search volume
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3. "Apple Gave Google the Keys to Siri — Here's Why That Should Concern You" — Provocative, shareable, high interest
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4. "1 Petabyte Stolen: Inside the TELUS Digital Breach" — Cybersecurity angle, practical advice for listeners
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5. "Right to Repair Just Became Law — What You Can (and Can't) Fix Now" — Practical, actionable, local angle
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**Recommended picks:** #1 (timely + unique), #3 (provocative + shareable), #5 (practical + evergreen)
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