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Marketing mentions 'AI agents' or 'agentic' workflow but no agent framework / MCP infrastructure visible

This check looks for whether marketing language like 'AI agents' or 'agentic' is backed by visible infrastructure, such as an agent framework or MCP (Model Context Protocol, a standard that lets AI tools connect to external systems) signals. That language was found on this site, but no supporting framework or infrastructure was visible. Buyers in 2026 distinguish real 'AI agents', which act autonomously across multiple steps, from simple 'AI features' that respond to a single prompt. Without something like LangGraph, CrewAI, or MCP visible behind the claim, 'agentic' reads as marketing hype, and buyers who check before they trust will notice the gap. Your product and marketing team should either ship a real agent loop, using something like LangGraph or the Claude Agent SDK, and surface it publicly, or pull back to more precise language like 'AI assistant' or 'AI feature' until the infrastructure exists. This is an ongoing decision rather than a one-off fix, and precision protects the brand more than the bolder claim does.

Why this matters

Buyers in 2026 distinguish real 'AI agents', which act autonomously across multiple steps, from simple 'AI features' that respond to a single prompt. Without something like LangGraph, CrewAI, or MCP visible behind the claim, 'agentic' reads as marketing hype, and buyers who check before they trust will notice the gap.

How to fix it

Your product and marketing team should either ship a real agent loop, using something like LangGraph or the Claude Agent SDK, and surface it publicly, or pull back to more precise language like 'AI assistant' or 'AI feature' until the infrastructure exists. This is an ongoing decision rather than a one-off fix, and precision protects the brand more than the bolder claim does.