Blog

What a service-to-service AI agent actually is, how it differs from a chatbot, and the contract you own when you wire a nondeterministic agent into your support stack.

A developer's guide to MCP for customer support: what the Model Context Protocol actually does, which helpdesks ship an MCP server, and what it leaves you to build.

An AI agent MCP server exposes your tools and data over one standard interface. Here is what that actually means for a support team, and where it stops.

You can automate a lot of support from the terminal: routing, tagging, escalation, exports, scheduled sweeps. Here's the ladder of what's scriptable, and the one rung that isn't.

Managing AI support agents from the command line sounds like a power move. Here is what is actually scriptable today, what is not, and how to not fly blind.

What an AI agent CLI is, the model and framework tools that offer one, and where a command line helps (or hurts) when the agent's real job is answering support tickets.

A CLI for customer support isn't one magic binary. It's a way to make support programmable, testable, and versioned. Here's what actually works from the terminal.

"Programmable customer support AI" gets read as build-from-scratch. It doesn't have to. Here's the real spectrum of control, and where most teams should land.

There is no single customer support CLI that resolves tickets. Here is what the terminal actually gives you, from zcli to curl to MCP, and where a teammate fits.