Instead of spending hours prompting ChatGPT/Claude for "latest AI developments," I built a fully automated pipeline that does the heavy lifting.
Manual AI Prompting vs Automated Pipeline:
Manual Way:
→ Limited by training cutoffs
→ Generic summaries
→ 30+ minutes of prompting
→ Miss breaking developments
Daily AI Times Way:
→ 42,000 articles processed in 7 days
→ 1,050 premium items via AI consensus
→ 115 live sources, 7 AI agents working 24/7
→ Zero manual effort, maximum signal
Meet the Complete AI Team:
Bulk Intelligence Squad:
• Quinn (Llama-3.1-8B) - Content Quality
• Riley (Gemma2-9B) - Relevance Scoring
• Casey (Llama3-8B) - Category Classification
Deep Intelligence Duo:
• Scout (Llama-4-Scout-17B) - Fact-Checking
• Sage (Llama-3.3-70B) - Bias Detection
Content Creation Team:
• Script Writer (Gemini-2.5-Pro) - Podcast Scripts
• Voice Duo - The Talented Jane and Joe (Gemini-2.5-Flash-TTS) - Multi-Speaker Audio
The 9-Step Pipeline:
1. Collection: 1,000 articles from 115 sources
2. Bulk Intelligence: Multi-dimensional scoring
3. Consensus: 70% agreement rule filters noise
4. Deep Analysis: Fact-checking + bias detection
5. Final Consensus: Weighted combination
6. Classification: Headlines, articles, research papers
7. API Generation: Frontend-ready endpoints
8. Audio: Auto-generated podcasts with dialogue
9. Deployment: GitHub Pages + global CDN
Results: 2.5% acceptance rate, 7.5-min cycles, 6x daily
Future Roadmap:
→ Enhanced audio formats (briefs, deep dives)
→ New categories (Healthcare AI, Climate Tech, Robotics)
→ Scale to 10K+ articles, 15+ agents, real-time processing
When 7 AI agents agree something is important - it probably is!
Live Demo: https://siddanthemani.github.io/daily-ai-times
GitHub: https://github.com/SiddanthEmani/daily-ai-times
How do you stay current with AI developments?
Instead of spending hours prompting ChatGPT/Claude for "latest AI developments," I built a fully automated pipeline that does the heavy lifting.
Manual AI Prompting vs Automated Pipeline:
Manual Way:
→ Limited by training cutoffs
→ Generic summaries
→ 30+ minutes of prompting
→ Miss breaking developments
Daily AI Times Way:
→ 42,000 articles processed in 7 days
→ 1,050 premium items via AI consensus
→ 115 live sources, 7 AI agents working 24/7
→ Zero manual effort, maximum signal
Meet the Complete AI Team:
Bulk Intelligence Squad:
• Quinn (Llama-3.1-8B) - Content Quality
• Riley (Gemma2-9B) - Relevance Scoring
• Casey (Llama3-8B) - Category Classification
Deep Intelligence Duo:
• Scout (Llama-4-Scout-17B) - Fact-Checking
• Sage (Llama-3.3-70B) - Bias Detection
Content Creation Team:
• Script Writer (Gemini-2.5-Pro) - Podcast Scripts
• Voice Duo - The Talented Jane and Joe (Gemini-2.5-Flash-TTS) - Multi-Speaker Audio
The 9-Step Pipeline:
1. Collection: 1,000 articles from 115 sources
2. Bulk Intelligence: Multi-dimensional scoring
3. Consensus: 70% agreement rule filters noise
4. Deep Analysis: Fact-checking + bias detection
5. Final Consensus: Weighted combination
6. Classification: Headlines, articles, research papers
7. API Generation: Frontend-ready endpoints
8. Audio: Auto-generated podcasts with dialogue
9. Deployment: GitHub Pages + global CDN
Results: 2.5% acceptance rate, 7.5-min cycles, 6x daily
Future Roadmap:
→ Enhanced audio formats (briefs, deep dives)
→ New categories (Healthcare AI, Climate Tech, Robotics)
→ Scale to 10K+ articles, 15+ agents, real-time processing
When 7 AI agents agree something is important - it probably is!
Live Demo: https://siddanthemani.github.io/daily-ai-times
GitHub: https://github.com/SiddanthEmani/daily-ai-times
How do you stay current with AI developments?