Blog

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.

A hands-on guide to controlling AI agents from the command line: install a CLI, connect your helpdesk, simulate, trigger runs, and gate actions with approvals.

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.

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.

"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.

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.

Linear AI introduces AI-driven workflows to help teams manage projects more efficiently, automate repetitive tasks, and deliver faster results.

Learn how OpenAI vector stores prepare files for retrieval, what to test before using support knowledge, and where eesel CLI fits in that work.