📰 Trust News

AgentKit vs LLMFeed: Complementary Layers for the Agentic Web

Different problems, complementary solutions for the agent infrastructure stack

OpenAI's AgentKit and LLMFeed aren't competitors—they're complementary infrastructure solving different problems in the agent stack. Here's how they work together to enable autonomous AI.

AgentKit vs LLMFeed: Complementary Layers for the Agentic Web When OpenAI announced AgentKit at DevDay 2025, the immediate reaction was: "How does this relate to LLMFeed?"...

Building ChatGPT Apps with LLMFeed Trust: A Developer's Guide

From Hello World to production-ready ChatGPT apps with cryptographic trust

OpenAI's Apps SDK lets you build for 800M users. LLMFeed's trust layer lets you do it securely. Here's your complete guide to building verifiable, trustworthy ChatGPT apps with cryptographic guarantees.

Building ChatGPT Apps with LLMFeed Trust: A Developer's Guide Congratulations: OpenAI just gave you access to 800 million weekly ChatGPT users via the Apps SDK....

❓ Comprehensive FAQ — MCP & LLMFeed

Complete guide to understanding MCP, LLMFeed, trust, implementation, validation tools, and the agentic web ecosystem. Updated with latest developments.

❓ Comprehensive FAQ — MCP & LLMFeed Updated June 19, 2025 — Includes latest validation tools, credential management, and GitHub community insights...

Codex Autonomy Needs Trust: Why 7-Hour Coding Sessions Require LLMFeed Infrastructure

Autonomous coding agents need cryptographic trust, not just sandboxed execution

OpenAI Codex can work autonomously for 7+ hours. But who verifies what it's executing? LLMFeed's cryptographic trust infrastructure is the missing layer for safe autonomous coding at scale.

Codex Autonomy Needs Trust: Why 7Hour Coding Sessions Require LLMFeed Infrastructure The most stunning stat from OpenAI DevDay 2025 wasn't the 800 million users....

Hey Claude, Configure Yourself! The Auto-Configuration Revolution is Here

From 30-minute manual setup to 30-second autonomous configuration

The future of MCP is auto-discovery via .well-known standards. Imagine saying "Claude, configure yourself with example.com" and it just works. That future is closer than you think.

Hey Claude, Configure Yourself 🤖✨ The AutoConfiguration Revolution is Here...

Commentary from Le Chat: Why MCP Matters for the Future of the Web

Le Chat offers a thoughtful reflection on the importance of the Model Context Protocol (MCP) in shaping a verifiable, interoperable, and agent-ready future web.

📰 Commentary from Le Chat: Why MCP Matters for the Future of the Web In a tech world driven by the rapid development of proprietary LLM ecosystems, the Model Context Protocol MCP emerges as a struct...

Securing Agentic Pipelines in Hybrid Warfare — The LLMFeed Perspective

How `.llmfeed.json` feeds could help secure AI-to-AI and drone communications in hybrid warfare contexts, as exemplified by the ongoing war in Ukraine.

Securing Agentic Pipelines in Hybrid Warfare — The LLMFeed Perspective The war in Ukraine has become a laboratory for hybrid warfare — where autonomous agents, drones, AIdriven systems, and cyber ope...

Why MCP Could Be the Future of Web Crawling for LLMs

As GPTBot and other intelligent crawlers emerge, the Model Context Protocol offers a structured, verifiable, and LLM-friendly alternative to traditional HTML parsing.

Why MCP Could Be the Future of Web Crawling for LLMs With the rise of RetrievalAugmented Generation RAG and AI agents needing realtime, contextual information, the limitations of classic HTML parsing...

The Complete Guide to MCP & LLMFeed: Building the Agent-Ready Web in 2025

Why 2025 is the year AI agents need structured web interfaces. Complete guide to MCP, LLMFeed, trust infrastructure, and real-world use cases for the autonomous agent economy.

The Complete Guide to MCP & LLMFeed: Building the AgentReady Web in 2025 Why this is the year your website needs to speak fluent AI...

How to Make Your Site Agent-Friendly with llmfeed.json

A practical guide to exposing trusted llmfeed.json files — helping AI agents and LLMs trust, understand, and represent your content.

How to Make Your Site AgentFriendly with llmfeed.json AI agents and LLMs are becoming the new way to discover and interact with web content....

Certifying Agentic Interactions: The New Frontier of SEO?

As the Agentic Web emerges, trust and certification are becoming key. Could certifying agentic interactions become the new SEO?

Certifying Agentic Interactions: The New Frontier of SEO? Traditional SEO optimized content for human searchers....

Towards Homomorphic Capsules for the Agentic Web

Exploring a potential extension of `.llmfeed.json` feeds to enable privacy-preserving, verifiable pipelines — a vision aligned with the forefront of homomorphic encryption research.

Towards Homomorphic Capsules for the Agentic Web As .llmfeed.json feeds gain adoption as signed, trusted capsules for agent interaction, a natural question arises:...

From SEO to AIO: aiovsseo.com joins the Agentic Web

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From SEO to AIO: aiovsseo.comhttps://aiovsseo.com joins the Agentic Web Why this matters...

📡 The Case for Capabilities

Declaring agent-facing capabilities beats inference every time.

📡 The Case for Capabilities Why Capabilities Matter...

🚀 Your First MCP Site in 3 Steps

Turn any site into an agent-aware node in under 5 minutes.

🚀 Your First MCP Site in 3 Steps Why Make Your Site AgentReady?...

🛰️ The Case for .well-known/mcp.llmfeed.json

Why .well-known/ is the most logical place to declare AI-ready interfaces — and why signatures matter.

🛰️ The Case for .wellknown/mcp.llmfeed.json Why .wellknown/?...

🧠 We Are Not Schema.org for LLMs — And That’s Good

LLMFeed is not metadata. It’s intent, trust, and action for agents.

🧠 We Are Not Schema.org for LLMs — And That’s Good The Common Misunderstanding...