AI Readiness Blog
Technical guides for developers building AI-agent-ready sites.
Why Your API Documentation Is Failing AI Agents (And How to Fix It)
Most API docs are built for human eyes. AI agents need structured, machine-readable documentation to discover endpoints and execute calls.
CI/CD for AI Compliance: Automating Readiness Checks Before Every Deploy
Add AI readiness scanning to your CI/CD pipeline to catch compliance regressions before they hit production.
From JSON-LD to Agent Actionable: How to Structure Product Data So AI Can Actually Buy
Schema.org JSON-LD is the backbone of product data for AI agents. Most implementations are too shallow for agents to make purchase decisions.
The llms.txt File: The robots.txt for AI Agents - Implementation Guide
llms.txt tells AI crawlers what your site does, where to find key pages, and how to interact with your content.
UCP vs ACP vs MCP: Which Protocol Does Your Stack Actually Need?
Universal Commerce Protocol, Agent Commerce Protocol, and Model Context Protocol serve different purposes. Pick the wrong one and your AI agent integration breaks.
The Checkout Flow AI Agents Can't Complete - And Why It Costs You
AI agents do not click "Add to Cart" like humans. They parse structured checkout paths. If your store hides shipping or uses JS-only buttons, agents abandon.
What 'Payment Readiness' Actually Means - And Why No Other Scanner Checks It
Most scanners tell you what an AI agent sees. Payment readiness tells you what an agent can actually do - complete a purchase.
Why Your Shopify Store Loses Sales to AI Agents - And How to Fix It
AI agents do not browse like humans. They parse structured data - JSON-LD, llms.txt, and payment protocol signals. Most Shopify stores are invisible to them.