{"profile":"tct-1","llm_url":"https://llmpages.org/about/llm/","canonical_url":"https://llmpages.org/about/","post_id":15,"post_type":"page","title":"About","modified":"2025-11-13T15:29:35+00:00","published":"2025-10-18T18:40:22+00:00","word_count":485,"slug":"about","excerpt":"About The Collaboration Tunnel Mission The Collaboration Tunnel (TCT) protocol establishes a new standard for efficient, verifiable content delivery to AI crawlers and automated agents. Our mission is to reduce global bandwidth consumption while improving AI content quality through standardized, template-invariant fingerprinting and conditional request discipline. The Problem Traditional AI crawlers fetch full HTML pages","author":{"id":1,"name":"ansateza","url":"https://llmpages.org/author/ansateza/"},"image":null,"images":null,"headings":[{"level":2,"text":"About The Collaboration Tunnel","anchor":null},{"level":2,"text":"Mission","anchor":null},{"level":2,"text":"The Problem","anchor":null},{"level":2,"text":"The Solution","anchor":null},{"level":2,"text":"Measured Results","anchor":null},{"level":2,"text":"An Open, Royalty-Free Standard","anchor":null},{"level":2,"text":"Patent Status","anchor":null},{"level":2,"text":"Open Source Implementation","anchor":null},{"level":2,"text":"IETF Standards Process","anchor":null},{"level":2,"text":"Production Deployment","anchor":null},{"level":2,"text":"Team","anchor":null},{"level":2,"text":"Timeline","anchor":null}],"categories":null,"tags":null,"content":"About\n\nAbout The Collaboration Tunnel Mission The Collaboration Tunnel (TCT) protocol establishes a new standard for efficient, verifiable content delivery to AI crawlers and automated agents. Our mission is to reduce global bandwidth consumption while improving AI content quality through standardized, template-invariant fingerprinting and conditional request discipline. The Problem Traditional AI crawlers fetch full HTML pages repeatedly: 103 KB average per page (HTML with templates) 13,900 tokens for AI processing 90%+ redundant fetches when content is unchanged No standard for machine-readable endpoints No verification of content authenticity The Solution TCT provides a 4-part protocol: Bidirectional Discovery – Verifiable C-URL ↔ M-URL handshake Template-Invariant Fingerprinting – SHA-256 content hashes Conditional Request Discipline – 304 Not Modified responses Sitemap-First Verification – Zero-fetch optimization Measured Results Based on 970+ URLs across 3 production websites: 83% bandwidth savings (103 KB → 17.7 KB) 86% token reduction (13,900 → 1,960 tokens) 90%+ skip rate for unchanged content 100% protocol compliance achievable 8,158 GWh/year potential energy savings An Open, Royalty-Free Standard The Collaboration Tunnel Protocol (TCT) is an open standard designed to build a more efficient and sustainable web for the AI era. The core protocol, as defined in draft-jurkovikj-collab-tunnel, is and always will be available for anyone to implement under a perpetual, irrevocable, Royalty-Free (RF) license. There is no commercial licensing fee for implementing the TCT standard. Our full, official IPR disclosure is available for public review on the IETF Datatracker: https://datatracker.ietf.org/ipr/7074/ Our goal is to foster a vibrant, open ecosystem around a free and universal standard. The open-source reference implementations (WordPress, Cloudflare, Python) are provided to accelerate adoption. Patent Status US Patent Application 63/895,763 Filed: October 8, 2025 Status: Patent Pending The provisional patent application covers the system and methods described in the TCT specification. Under the IETF Intellectual Property Rights policy (RFC 8179), a Royalty-Free (RF) license is granted to all implementers of the standard. Open Source Implementation Free Reference Implementations: WordPress plugin (GPL v2+) – Download Cloudflare Worker (MIT) – GitHub Python client library (MIT) – PyPI Complete documentation and examples These implementations are provided under open-source licenses to accelerate adoption and demonstrate best practices. IETF Standards Process We’re pursuing standardization through the Internet Engineering Task Force (IETF): Specification: draft-jurkovikj-collab-tunnel-00 Target: IETF 125 (March 2026) Working Group: GREEN (energy efficiency) IPR Disclosure: Royalty-Free (RF) The energy efficiency section demonstrates: 0.06 kWh/GB network transmission savings 0.000187 kWh/token AI inference savings Scaled to 8,158 GWh/year at 10% adoption Production Deployment Live Sites (100% Compliant): wellbeing-support.com – 400 URLs, 10/10 score omacedonii.com – 45 URLs, 10/10 score bestdemotivationalposters.com – 500 URLs, 9/10 score Total: 970+ URLs with full protocol compliance Validation: llmpages.org/validator Team Antun Jurkovikj – Creator & Lead Developer Background in web optimization, AI integration, and energy-efficient protocols. Committed to reducing global bandwidth consumption while improving AI content quality through open standards. Contact: antunjurkovic@gmail.com GitHub: github.com/antunjurkovic-collab Timeline October 8, 2025: Provisional patent filed (US 63/895,763) October 17, 2025: Python library published to PyPI October 18, 2025: Cloudflare Worker published to GitHub October 18, 2025: Energy efficiency section added to IETF spec November 2025: WordPress plugin v1.0.0 released November 2025: IPR disclosure filed with IETF (Royalty-Free) March 2026: Target IETF 125 presentation","hash":"sha256-dedf8c1e4935bbf75f3c09bae945151b907f1f223f5002d2f4336fcc23d29a9b"}