Just launched "Daily AI Times" - 7 days in and it's already transforming how I consume AI research!

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?