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+# Podcast Summary Generation Workflow
+
+This document outlines a potential workflow for generating engaging social media content from podcast transcripts, with a focus on LinkedIn carousels.
+
+## Workflow Steps
+
+### Step 1: Content Chunking
+Group related timestamps into larger thematic chunks for better content organization.
+
+**Prompt:**
+```
+Review the timestamp outline and group related topics into larger chunks.
+
+Instructions:
+1. Find related consecutive topics
+2. Combine them into logical groups
+3. Note start time of first topic and end time of last topic in group
+
+Output Format:
+Group 1
+Timestamps:
+0:00 MLOps in corporations versus startups
+6:03 The agility and pace of startups
+7:54 MLOps on a shoestring budget
+12:54 Cloud solutions for startups
+Time Range: 0:00 - 15:06
+
+Group 2
+[...]
+```
+
+Each group would be {`chunk_1`, `chunk_2`, ..., `chunk_n`} - a set of files or data elements which would contain a specific part of the transcript specified in a relevant time range.
+
+Example input from [MLOps in Corporations and Startups](https://datatalks.club/podcast/s20e04-mlops-in-corporations-and-startups.html) podcast:
+
+```
+0:00 MLOps in corporations versus startups
+6:03 The agility and pace of startups
+7:54 MLOps on a shoestring budget
+12:54 Cloud solutions for startups
+15:06 Challenges of cloud complexity versus on-premise
+19:19 Selecting tools and avoiding vendor lock-in
+22:22 Choosing between a startup and a corporation
+27:30 Flexibility and risks in startups
+29:37 Bureaucracy and processes in corporations
+33:17 The role of frameworks in corporations
+34:32 Advantages of large teams in corporations
+40:01 Challenges of technical debt in startups
+43:12 Career advice for junior data scientists
+44:10 Tools and frameworks for MLOps projects
+49:00 Balancing new and old technologies in skill development
+55:43 Data engineering challenges and reliability in LLMs
+57:09 On-premise vs. cloud solutions in data-sensitive industries
+59:29 Alternatives like Dask for distributed systems
+```
+
+### Step 2: Content Organization
+Break down the transcript into separate text files or data elements based on the thematic chunks.
+
+Final result is {`chunk_1`, `chunk_2`, ..., `chunk_n`} - a set of files or data elements which would contain a specific part of the transcript specified in a relevant time range.
+
+### Step 3: Format Selection
+Choose from the available carousel formats (detailed below).
+
+### Step 4: Content Extraction
+Based on the selected format, extract content using one of these approaches:
+
+1. Key Takeaways
+
+**Prompt:**
+```
+Based on the transcript, extract key takeaways. These should be the most important insights, ideas, or lessons a listener would remember from this section. Avoid vague or generic points. Use clear, specific, high-impact phrasing.
+Output as a numbered list. Each item should be ≤25 words.
+```
+
+2. Notable Quotes
+
+**Prompt:**
+```
+Extract memorable or insightful quotes and their context directly from the transcript. Prefer short, self-contained, high-impact quotes that could stand alone.
+```
+
+3. Guest Journey
+
+**Prompt:**
+```
+Summarize the guest's career or learning journey as described in this transcript.
+Break it into chronological stages using short headings + 1–2 sentence descriptions per stage.
+Focus on turning points, obstacles, motivations, and transitions.
+```
+
+4. Practical Advice
+
+**Prompt:**
+```
+Extract actionable advice or tips mentioned by the guest.
+These should be practical, specific, and useful — not vague or motivational.
+Format as a list, with each item:
+- Tip in bold (max 10 words)
+- Supporting sentence or example (optional, max 20 words)
+```
+
+5. Resources Mentioned
+
+**Prompt:**
+```
+List all specific tools, frameworks, books, libraries, datasets, or products mentioned in the transcript.
+For each, provide:
+- Name of the resource
+- One-sentence description or how it was used/recommended by the guest
+```
+
+### Step 5: Content Consolidation
+Combine results from each chunk into a single final file, `file_final`.
+
+So for each carousel format you would have its own `file_final`.
+
+### Step 6: Carousel Generation
+Transform the processed content from `file_final` into a markdown table used to construct LinkedIn carousel:
+
+```
+Create a carousel table from the provided content:
+
+Structure:
+1. Cover (Slide 1)
+   - Title: Main topic/value (8-10 words)
+   - Text: Key insight or hook (120 chars)
+
+2. Content
+   - Title: Clear point per slide
+   - Text: Supporting detail or example
+   - Keep related points together
+   - Maximum 8 content slides
+
+3. CTA (Final Slide)
+   - Title: Action-focused
+   - Text: Clear next step
+
+Requirements:
+- All titles: 8-10 words max
+- All text: 120 characters max
+- Professional tone
+- No repetition between title and text
+- Each slide should be self-contained
+
+Table Format:
+| Slide # | Title | Text |
+|---------|-------|------|
+| 1 | Main Topic | Hook |
+| 2-9 | Point | Detail |
+| 10 | CTA | Action |
+```
+
+
+## Carousel Format Templates
+
+### 1. Takeaways Format
+- Slide 1: "5 Key Takeaways from [Guest] on [Topic]"
+- Core Slides: One takeaway per slide with quote and explanation
+- Final slide: Call-to-action
+
+### 2. Quotes Format
+- Slide 1: "Thought-Provoking Quotes from [Guest Name]"
+- Core Slides: Single quote per slide with minimal context
+- Final slide: "Get the full context – link in comments"
+
+### 3. Guest Journey Format
+- Slide 1: "How [Guest Name] Went from X to Y"
+- Core Slides: One journey stage per slide.
+- Final slide: Journey-related CTA or quote
+
+### 4. Practical Advice Format
+- Slide 1: "5 Practical Tips from [Guest] on [Theme]"
+- Core Slides: One tip per slide
+- Final slide: Podcast CTA
+
+### 5. Resources Format
+- Slide 1: "[Guest]'s Toolkit from the Episode"
+- Core Slides: One resource per slide with brief comment
+- Final slide: "More recommendations in the episode!"
+
+### Special: Topic Deep Dive Format
+- Slide 1: "Let's talk about [Topic]"
+- Slide 2: Topic importance
+- Core Slides: Simple concept explanations
+- Final slide: "Want more like this? Listen here."
+
+## Technical Specifications
+
+### Dimensions
+- Square: 1080 x 1080 pixels
+- Portrait: 1080 x 1350 pixels
+
+### Typography Guidelines
+
+| Text Element    | Font Size (px) |
+|----------------|----------------|
+| Main Headline  | 60-80         |
+| Subheadline    | 40-60         |
+| Body Text      | 30-45         |
+| Caption        | 20-30         |
+
+### Character Count Guidelines
+
+| Element     | Recommended Length                    |
+|------------|--------------------------------------|
+| Headline   | 3-10 words (~40-60 characters)       |
+| Subheading | 80-100 characters maximum            |
+| Body Text  | ~120 characters (1-2 short sentences)|
+| CTA/Footer | Under 50 characters                  |
+
+> **Best Practice:** Use concise, impactful sentences. Split longer content across multiple slides.
+
+## Style Guidelines for Your Prompts
+
+Include into your prompts:
+
+```
+- Be factual and thorough
+- Use natural language for native speakers
+- Maintain professional tone
+- Focus on clarity and impact
+```
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