Generic AI writing sounds like nobody in particular; BullFlow writes from your own company knowledge instead. It first builds a private knowledge base from your documents, images, audio, and video plus structured records for your company, brand, products, customers, and cases. Ingestion runs entirely on local open models: OCR reads scans, semantic splitting and chunking prepare text, and hybrid vector plus full-text search retrieves passages with their sources and relevance scores shown under every answer. A creation agent then works in one conversation: it searches the knowledge base, drafts articles with images embedded in the text, generates image sets or short videos, and exports finished pieces as PDF or Word. Output adapts to where it is going, long-form articles for article platforms, multi-image posts with matching copy for image feeds. A separate distribution gateway sends one finished piece to many accounts across Chinese and international social platforms, checks account health on a schedule, and returns publish results and metrics by webhook. Around all of that sits a commercial shell: multiple tenants with isolated data, roles from super admin to finance, credit billing measured per token, image, and second, subscriptions, invoices, referral commissions, and a conversion funnel in the operations backend. Scheduled rules can generate and publish on a timetable with nobody watching, and notifications report each completion or failure. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Built for brands that want AI search engines to quote them, GEOFlow is an open-source admin system that turns approved knowledge into reviewed articles and publishes them across every site you run. Load documents or import trusted web pages into knowledge bases that are chunked into evidence units, with optional semantic planning and vector retrieval. Combine them with title libraries (AI can draft up to 100,000 titles), keywords, images, authors, and prompts, then set a task's generation limits, cadence, and publishing scope. Chat and embedding models connect through OpenAI-compatible endpoints or native Gemini, with automatic fallback to the next model when a call fails. Each draft passes an AI quality gate that checks evidence, citations, advertising rules, and publishing context, records scores with source locations and revision advice, and holds risky articles for a human reviewer. Approved articles appear on the built-in site with SEO metadata, Open Graph, Schema, sitemaps, and llms.txt, or travel to hosted subdomain sites, GEOFlow Agent packages, WordPress through its REST API, or any HTTP endpoint. A manual publishing workbench and Chrome assistant cover platforms that need a person, while analytics track traffic, AI crawlers, and brand visibility in generative engines. An API, command-line tool, and agent skill support automation. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.