Blog

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.

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.

An API-first AI agent platform means every capability is reachable in code, not just the dashboard. Here's the test that separates it from an API bolt-on, and why support teams should care.

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.

A builder's guide to standing up an AI customer support agent with an API: the components, the DIY stack, and the faster programmable path.

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.

"Customer support agent API" hides three very different builds. Here's what a raw model API, a helpdesk API, and a ready-made teammate each cost you.

Headless AI customer support means one support engine you call from any frontend. Here's what the pattern really needs, and the two ways to get it.

A practical guide to connecting AI agents to the business tools they need, from native connectors and APIs to MCP servers and teammate platforms.