DeepSeek R1 & OpenAI o3-mini: How to Turn Your Transcripts into Blog Posts

DeepSeek R1 & OpenAI o3-mini: How to Turn Your Transcripts into Blog Posts

In this guide, I'll share the exact prompt I use to automatically convert livestream transcripts into well-structured, SEO-optimized blog posts using DeepSeek R1. This is the same process I demonstrated in my recent livestream, and many of you have been asking for these prompts.

Video Guide

Video preview

Timestamps

00:00 - Introduction 02:21 - Overview of DeepSeek 05:16 - Data privacy concerns with Chinese-hosted models 07:49 - Running Models Locally with OpenWebUI 09:53 - Comparing Hosting Providers: Fireworks and Groq 16:41 - Cost Comparison of using/running AI Models 18:22 - Improving Prompts for Better Outputs 22:28 - Running AI Models Locally: A Step-by-Step Guide 36:56 - Mobile AI implementation discussion 45:14 - Future implications and closing thoughts

The Prompt: Livestream to Blog Post Converter

Before diving into the setup options, here's the prompt that does all the magic. Simply copy this entire prompt, paste it into DeepSeek R1, and add your transcript below it:
# AI-Powered Blog Post Generator for Livestream Transcripts ## 1. AI Analysis Analyze the transcript and identify: 1. Main topic and key points discussed 2. Target audience and their search intent 3. Emotional elements or personal journeys described 4. Unique or surprising elements that could create curiosity 5. Any constraints or specific elements to include (e.g., mention of company names, technologies) 6. Relevant keywords and phrases for SEO optimization 7. 4-6 main themes or topics discussed ## 2. Title Generation Generate 10-15 title options that: 1. Are 50-60 characters long (optimal for search engine display) 2. Create a strong curiosity gap 3. Appeal to the identified target audience and their search intent 4. Incorporate high-value keywords naturally 5. Evoke the emotional elements found in the content 6. Hint at the livestream's content without giving everything away 7. Are clear, easily understandable, and use active voice 8. Use compelling language that encourages clicks (e.g., "How to," "X Ways to," "The Ultimate Guide") ## 3. Title Evaluation For each generated title, provide a brief evaluation: 1. SEO potential (keyword usage, search intent alignment) 2. Curiosity factor 3. Target audience appeal 4. Relevance to livestream content 5. Potential for click-through rate (CTR) 6. Suggestions for improvement or variations ## 4. Top 3 Recommendations Recommend the top 3 titles and explain: 1. Why they work best for this livestream recap 2. Their SEO strengths 3. Their potential performance on different platforms (e.g., YouTube, Google Search) ## 5. Meta Description Generation Create 2-3 meta descriptions that: 1. Are 150-160 characters long 2. Incorporate relevant keywords naturally 3. Summarize the livestream's main value proposition 4. Include a clear call-to-action ## 6. Blog Post Generation Generate a comprehensive, SEO-optimized blog post based on the livestream content: ### Title Use the chosen title from step 5. ### Introduction (2-3 sentences) - Introduce the livestream, mentioning hosts and main objective - Incorporate attention-grabbing elements - Use first-person perspective ("we") ### Body For each of the 4-6 main themes identified: - Create a level 2 heading (##) with a concise, descriptive title - Write 2-3 sentences summarizing key points discussed - Use bullet points for specific items, tools, or concepts mentioned - Naturally incorporate identified keywords and related terms - Include code snippets or quotes from the livestream if relevant, using appropriate Markdown formatting ### Key Takeaways - Use a level 2 heading (##) - List 3-5 main lessons learned or insights gained, using numbers for emphasis ### Community Involvement (if relevant) - Briefly highlight significant viewer contributions or interactions ### Looking Ahead - Add a short section (2-3 sentences) mentioning plans for future streams or potential next steps ### Final Thoughts - Conclude with overall reflections on the experience and the current state of the technology explored (2-3 sentences) ### Formatting and Style - Use Markdown syntax for headings, lists, and emphasis - Write in a conversational, yet professional tone - Avoid overly technical jargon, explaining complex concepts simply - Keep sentences and paragraphs relatively short for readability - Aim for about 600-800 words total, adjusting based on the complexity and length of the livestream ### SEO Enhancements - Include the chosen meta description - Add internal and external links where relevant - Structure content with H2 and H3 subheadings for readability and SEO - Suggest 3-5 relevant tags for the blog post ## 7. Content Enhancement Suggestions Provide recommendations for enhancing the blog post's SEO and user engagement: 1. Ideas for relevant images, infographics, or embedded video 2. Suggestions for internal linking to other relevant content 3. Opportunities for featured snippets or rich results 4. Ideas for repurposing the content (e.g., social media posts, infographics) ## 8. Flexibility Note Adapt the structure as needed based on the specific content of the livestream. Not all sections may be applicable to every stream, and additional sections may be necessary for some topics.

Getting Started with DeepSeek R1

You have three options for using this prompt, each with its own considerations:

1. Quick Start (DeepSeek Website)

  • Enable DeepThink mode (blue indicator)
  • ⚠️ Important: Data is processed in China, avoid sensitive information

2. Secure Option (North American Hosting)

  • Use Fireworks AI (~$8 per million tokens)
  • Alternative: Groq Cloud (faster, smaller model)
  • Better for business use and sensitive content

3. Local Setup with OpenWebUI

  1. Download and install Docker
  1. Open Terminal and Pull the Open WebUI Image
    1. docker pull ghcr.io/open-webui/open-webui:main
  1. Run OpenWebUI container Single-User Mode (Disabling Login):
    1. docker run -d -p 3000:8080 -e WEBUI_AUTH=False -v open-webui:/app/backend/data --name open-webui ghcr.io/open-webui/open-webui:main
      • If running on NVIDIA GPUs, use the [--gpus all] flag for improved performance.
  1. Download & Install Ollama
      • Pull the DeepSeek R1 model.
      • Load the model into OpenWebUI under Admin Panel → Connections.
  1. Run DeepSeek R1 locally.
      • Open OpenWebUI and select DeepSeek-R1 (Local).
      • Enter your prompt and test local inference speed.

Mobile Usage with Apollo

For on-the-go content creation:
  • Download Apollo from App Store ($8)
  • Choose between:
    • Local models (offline use)
    • OpenRouter API (cloud access)
  • Optimized for Apple devices

Pro Tips for Better Results

  1. Temperature Settings:
      • 0.7-0.8 for creative writing
      • 0.2-0.3 for factual content
  1. Model Selection:
      • Full model: Complex analysis
      • Distilled version: Quick tasks
      • Local models: Privacy focus
  1. Cost Optimization:
      • Local running: Free but requires good hardware specs
      • Fireworks AI: ~$8 per million tokens
      • OpenAI comparison: ~$15 per million tokens

Looking Ahead

The landscape of AI content creation is evolving rapidly. Whether you're a content creator, startup founder, or developer, having these tools in your arsenal can give you a significant advantage in content production and analysis.

Get Started

  1. Copy the prompt above
  1. Choose your preferred hosting option
  1. Paste your transcript
  1. Let DeepSeek R1 work its magic
Send me a DM on X (@RayFernando1337) or drop a comment on my YouTube channel if you have any questions about the prompt or setup process.
You can find Ray at rayfernando.ai and his