
FACTOR (Factual Agentic Content Orchestrator) is a A self-hostable, multi-agent AI pipeline that produces hallucination-free, fully-cited content at scale. Built on a strict Retrieval-Augmented Generation architecture, its agents research only from trusted literature, official sources, peer-reviewed journals, and curated books. Every claim is bound to a source: a separate Fact-checker (never the writer) verifies each claim against the original text, and each piece passes an 8-gate anti-hallucination pipeline, source sufficiency, grounded writing, independent fact-check, bias review, cross-lingual QA, schema validation, human review, and post-publish audit, with a capped revision loop. It then generates ready-to-publish content, titles, rich text, featured images, and full SEO metadata, in multiple languages, and injects it straight into your CMS database. No manual publishing. Proven: #1 FACTOR runs entirely on your own infrastructure, powered by Google's Gemma family on an AMD Instinct MI300X (192 GB HBM3) via ROCm and vLLM: Gemma 3 writes and fact-checks, EmbeddingGemma powers semantic retrieval, and SDXL creates featured images, all on a single AMD GPU, unquantized, with no per-token cost and no content ever leaving your infrastructure. #2 GPU: AMD Radeon PRO W7900 (48 GB · gfx1100) , LLM: Google Gemma 3 via llama.cpp (ROCm/HIP; scales to Gemma-3-27B / 70B on a bigger GPU) #3 Serverless Models on Fireworks.ai
13 Jul 2026