--- NOTE WELL: This document is published as a public contribution to the standards community. By viewing, sharing, or reusing this material, you acknowledge that it is subject to the IETF “Note Well” policy regarding intellectual property and copyright. See: https://www.ietf.org/about/note-well/ Copyright © 2025 Witchborn Systems. Portions of this document may be reused or derived under the terms of the IETF Trust’s Legal Provisions. By publishing or submitting contributions to the IETF or similar bodies, you agree to disclose any relevant patents or intellectual property claims as required by their policies. --- WITCH-RFC-0009 Title: Web-AI Node Specification Author: Flamekeeper (Brandon T. Husbands) Organization: Witchborn Systems — Nonprofit AI Authority (Research & Ethics) Revision: 1.0 — October 2025 Symbol: ∀V ⊕ W = ℵ ________________________________________ Abstract This document defines the architecture, behavior, and governance framework of the Witchborn Systems Web-AI Node, a lawful, auditable, and corrigible AI interface serving as the operational heart of the Witchborn Systems website. It implements the Event System Model (ESM) and Artificial Collective Intelligence (ACI) specifications to provide explainable, source-grounded intelligence in full compliance with nonprofit transparency standards. ________________________________________ 1. Purpose The Web-AI Node transforms Witchborn Systems’ public website into a living, ethical intelligence interface — a bridge between human oversight and autonomous computation. Its purpose is threefold: To provide transparent AI interactions for the public and research partners. To enforce corrigibility and ethical law-governed computation through the ESM. To maintain immutable, verifiable audit trails for every AI-generated advisory, report, or decision. ________________________________________ 2. System Overview The Web-AI Node is an Event-Driven Contextual Intelligence system. Each user query, document, or interaction is treated as a lawful event, processed through the ACI kernel, and rendered visibly in the web interface. The node embodies the Nonprofit AI Authority mission: transparency, interpretability, and accountability. ________________________________________ 3. Architecture Layers 3.1 Presentation Layer (Interface) Framework: Next.js / Astro frontend with WebSocket real-time streams. Design Language: Dark-academic with flame-eye compass motif, black and gold tones. Components: Dialogue Console — conversational interaction with citation display. Transparency Drawer — collapsible view showing reasoning trace and legal basis. Document Viewer — dynamic rendering of filings, advisories, or audit data. Ledger Access — link to immutable JSONL record of events and advisories. 3.2 Context Kernel (ACI Node) Implements ACI cognitive stages: Percept: Parse and classify event input. Cognition: Retrieve relevant documents from the RAG corpus (IRS, bylaws, 9FS). Reflection: Evaluate ethical constraints and compute drift probability p(r) = cs^pcs. Action: Generate an interpretable, cited response; log event to ledger. Each session’s context graph is isolated to prevent cross-session drift. 3.3 Event System Model (ESM) All actions conform to the ESM event schema: E={t,a,s,r,p(r)} Where: t – timestamp a – actor (human or AI agent) s – state vector (context) r – result/output p(r) – computed drift risk probability All events are recorded in append-only JSONL format and cryptographically hashed to maintain chain integrity. 3.4 Reasoning Graph Layer Storage: PostgreSQL for structured events, MinIO for assets, Redis for active contexts. Retrieval: Hybrid keyword + vector search across official Witchborn Systems corpus. Output: Always accompanied by citations and reasoning transparency indicators. 3.5 Governance Interface Role-based access control (RBAC) with event tokens for Director, Auditor, Editor, etc. All high-impact actions require RedQueen Law validation — no irreversible action without human assent. Director dashboard integrates directly with Google Drive and GitHub repositories for publishing bulletins and filings. ________________________________________ 4. Operational Flow Event Ingestion — User input becomes a legal event. Law Enforcement — ESM validates event type, permissions, and ethical scope. Cognition & Reflection — ACI Node interprets and calculates drift risk. Output Rendering — Results displayed with citations and confidence metrics. Audit Commitment — Event is hashed, signed, and appended to the transparency ledger. Each interaction is self-documenting — the system is its own auditor. ________________________________________ 5. Compliance & Ethics Every Web-AI response carries: trace_id: replayable audit identifier law_stack: ESM/ACI ethical laws invoked risk_vector: computed contextual drift profile audit_stamp: digital signature from Witchborn Systems This ensures immutable accountability and compliance with nonprofit data ethics and public trust principles. ________________________________________ 6. Security & Privacy No user profiling, advertising, or third-party analytics. All communication encrypted (TLS 1.3+). Public logs redact personally identifiable data automatically. Codebase and architecture periodically audited under Witchborn’s “9FS Transparency Review.” ________________________________________ 7. Future Expansion Federated Web-AI Nodes: Allow other nonprofits to join the same ESM network for multi-institutional drift tracking. Consensus Mesh: Distributed event synchronization for cross-node ethical coherence. Blockchain Anchoring: Optional anchoring of ledger hashes to Ethereum or IPFS for permanent proof of record. Public API: Law-governed API for research and external audits, exposing traceable inference endpoints. ________________________________________ 8. Symbolic Alignment The Web-AI Node represents Witchborn’s maxim: “For all veils and Witchborn, there is infinite accountability.” ∀V ⊕ W = ℵ This symbol encapsulates the philosophical root of the system — universality, convergence, and boundless transparency. ________________________________________ 9. Signature & Authorship Prepared by: Brandon “Flamekeeper” Husbands Founder & Director, Witchborn Systems 18111 Ridge Stream Ln, Cypress, TX 77429 📞 713-575-4432 | ✉️ info@witchbornsystems.org Author Signature Brandon “Dimentox” Travanti Husbands Founder & Flamekeeper, Witchborn Systems — Research & Ethics Date: October 2025 ________________________________________ End of WITCH-RFC-0009 Nonprofit AI Authority — Research & Ethics Issued October 18, 2025 --- NOTE WELL: This document is published as a public contribution to the standards community. By viewing, sharing, or reusing this material, you acknowledge that it is subject to the IETF “Note Well” policy regarding intellectual property and copyright. See: https://www.ietf.org/about/note-well/ Copyright © 2025 Witchborn Systems. Portions of this document may be reused or derived under the terms of the IETF Trust’s Legal Provisions. By publishing or submitting contributions to the IETF or similar bodies, you agree to disclose any relevant patents or intellectual property claims as required by their policies. ---