Project-Lutum-Veritas

Last week I benchmarked my open-source Deep Research tool against ChatGPT, Perplexity, and Gemini. I caught OpenAI fabricating 4-5 citations that don't exist. Gemini reduced real hazard ratios by 30-40%. So I built ASK Mode: every answer gets automatically verified against a second round of sources. Each claim marked [OK], [??], or [NO]. - ~400 verified answers for $1 - 2-3 minutes per query - No RLHF nannying - it answers what you ask - Full verification report with every response The gap between chat (unverified, stale training data) and deep research (20+ minutes) needed filling. Benchmark proof: https://veritas--test-neocities-org.translate.goog/?_x_tr_sl... GitHub: https://github.com/IamLumae/Project-Lutum-Veritas

Solo Dev. Couch Potato. Build a Standalone Open Source Deep research tool. And it Beats Google , Open ai and Perplexity in Multible Metrics : https://veritas-test.neocities.org/ ( pls translate it its german) Guys : lets get this to be used. Because KNOWLAGE Shouldnt be locked behind Paywalls

I got frustrated with Perplexity/OpenAI Deep Research - expensive subscriptions, shallow results, blocked by Cloudflare. So I built my own. Key features: - Recursive research pipeline (each point builds on previous findings) - Camoufox scraper (0% bot detection rate) - BYOK via OpenRouter - pay only API costs - 200k+ character academic outputs - no Censorship Built with FastAPI + Tauri + vanilla Python (no LangChain). Cost comparison on same query: Lutum $0.20 vs OpenAI o3 $7.36 Happy to answer questions about the architecture.