{"author":{"id":1,"name":"ansateza","url":"https://llmpages.org/author/ansateza/"},"canonical_url":"https://llmpages.org/","categories":null,"content":"The Collaboration Tunnel for the AI Web\n\nThe Collaboration Tunnel (TCT)\n\nEfficient, verifiable content delivery for AI crawlers. Reduce bandwidth by 83%, tokens by 86%.\n\nThe Trusted Collaboration Tunnel protocol enables efficient machine-readable content delivery through bidirectional discovery, template-invariant fingerprinting, and sitemap-first optimization. An open, royalty-free standard.\n\n\n\nGet WordPress Plugin (Free)\n\nView Live Validator\n\n\n\n\n\nMeasured Results from 970+ Production URLs\n\n\n\n83% Bandwidth Savings\n\n103 KB → 17.7 KB average per fetch\n\n\n\n\n\n86% Token Reduction\n\n13,900 → 1,960 tokens for AI processing\n\n\n\n\n\n90%+ Skip Rate\n\nUnchanged content detected via ETag\n\n\n\n\n\n\n\n\n970+ URLs\n\nAcross 3 production sites with 100% compliance\n\n\n\n\n\n8,158 GWh/year\n\nPotential energy savings at 10% adoption\n\n\n\n\n\n\n\n\nHow It Works: 4-Part Protocol\n\n1. Bidirectional Discovery\n\n\n \tC-URL contains: <link rel=\"alternate\" type=\"application/json\" href=\"M-URL\">\n\n \tM-URL responds: Link: <C-URL>; rel=\"canonical\"\n\n \tVerifiable handshake prevents URL guessing\n\n\n2. Template-Invariant Fingerprinting\n\n\n \tContent normalized (strip HTML, CSS, JS)\n\n \tSHA-256 hash → ETag header\n\n \tSame content = same hash, regardless of theme changes\n\n\n3. Conditional Request Discipline\n\n\n \tClient sends: If-None-Match: \"sha256-abc123...\"\n\n \tServer responds: 304 Not Modified (zero body)\n\n \t90%+ of requests skip full fetch\n\n\n4. Sitemap-First Verification\n\n\n \t/llm-sitemap.json lists all URLs + hashes\n\n \tClient compares local cache vs sitemap\n\n \tOnly fetch changed content\n\n \tZero-fetch optimization\n\n\n\n\nProduction Sites (100% Compliant)\n\n\n \twellbeing-support.com (400 URLs, 10/10)\n\n \tomacedonii.com (45 URLs, 10/10)\n\n \tbestdemotivationalposters.com (500 URLs, 9/10)\n\n\nTest Your Implementation: llmpages.org/validator\n\n\n\n\nAn Open, Royalty-Free Standard\n\nThe Collaboration Tunnel Protocol (TCT) is an open standard designed to build a more efficient and sustainable web for the AI era.\n\nThe 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.\n\nOur full, official IPR disclosure is available for public review on the IETF Datatracker:\nhttps://datatracker.ietf.org/ipr/7074/\n\nOur 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.\n\n\n\n\nIETF Standards Track\n\nTarget: IETF 125 (March 2026) | Working Group: GREEN (energy efficiency)\n\nNetwork savings: 0.06 kWh/GB reduced | AI inference savings: 0.000187 kWh/token reduced\n\n\n\n\nGet Started\n\n\nWordPress Plugin\n\nCloudflare Worker\n\nValidator","content_media_type":"text/plain; charset=utf-8","excerpt":"The Collaboration Tunnel (TCT) Efficient, verifiable content delivery for AI crawlers. Reduce bandwidth by 83%, tokens by 86%. The Trusted Collaboration Tunnel protocol enables efficient machine-readable content delivery through bidirectional discovery, template-invariant fingerprinting, and sitemap-first optimization. An open, royalty-free standard. Get WordPress Plugin (Free) View Live Validator Measured Results from 970+ Production URLs 83% Bandwidth","headings":[{"anchor":null,"level":2,"text":"The Collaboration Tunnel (TCT)"},{"anchor":null,"level":2,"text":"Measured Results from 970+ Production URLs"},{"anchor":null,"level":3,"text":"83% Bandwidth Savings"},{"anchor":null,"level":3,"text":"86% Token Reduction"},{"anchor":null,"level":3,"text":"90%+ Skip Rate"},{"anchor":null,"level":3,"text":"970+ URLs"},{"anchor":null,"level":3,"text":"8,158 GWh/year"},{"anchor":null,"level":2,"text":"How It Works: 4-Part Protocol"},{"anchor":null,"level":3,"text":"1. Bidirectional Discovery"},{"anchor":null,"level":3,"text":"2. Template-Invariant Fingerprinting"},{"anchor":null,"level":3,"text":"3. Conditional Request Discipline"},{"anchor":null,"level":3,"text":"4. Sitemap-First Verification"},{"anchor":null,"level":2,"text":"Production Sites (100% Compliant)"},{"anchor":null,"level":2,"text":"An Open, Royalty-Free Standard"},{"anchor":null,"level":2,"text":"IETF Standards Track"},{"anchor":null,"level":2,"text":"Get Started"}],"image":null,"images":null,"lastModified":"2025-11-13T15:06:09+00:00","llm_url":"https://llmpages.org/llm/","post_id":17,"post_type":"page","profile":"https://www.ietf.org/archive/id/draft-jurkovikj-collab-tunnel-03.html#tct-m-url-profile","published":"2025-10-10T18:01:00+00:00","slug":"home","tags":null,"title":"The Collaboration Tunnel for the AI Web","word_count":331}