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