Bayanihan Collective

Bayanihan Collective is the operational backbone for independent AI-developer cooperatives — a member-owned model built on mutual support, shared resources, and collective governance, not a commission-based freelance marketplace. Tech-worker cooperatives already exist and prove the model works (CoTech, Patio, FACTTIC), but they run on informal networks, mailing lists, and spreadsheets, with no modern operational tooling built for the AI era. Bayanihan Collective is that missing layer. The platform has three surfaces in one shell: an Ops Dashboard for case tracking with a 3-tier escalation model; an Onboarding Presenter that guides new members through real content, a scroll-gated quiz, an Available Mentors panel, and live AI-grounded Q&A; and a Member Concierge chat that answers onboarding, resource-sharing, and mentorship questions. Both AI-powered features run on the same two-layer pipeline: Gemma (google/gemma-3-12b-it) is the primary engine — classifying intent AND generating the member-facing reply, running through a three-tier chain anchored in a self-hosted model served via vLLM on a real AMD Instinct MI300X GPU instance (AMD Developer Cloud), falling back gracefully to Google AI Studio and then a local classifier only if that primary tier is unreachable. Claude serves as the orchestration and guide layer only — routing, grounding, pacing, and quality-checking — never the responder. Every message shows exactly which tier answered, so the architecture is visible, not just claimed. Built solo by Tribeium, containerized with Docker Compose, deployed live on Cloudflare Pages and Render, open source under MIT.