Blog

Dive into OpenAI Function Calling. This guide explains how it works, its common uses, and the complexities involved in building with it. See a simpler way to create AI agents that can take real action in your business.

Claude Code brings an AI coding agent into your terminal. See how eesel CLI extends that workflow to setting up and operating a support teammate.

A customer support CLI can be developer tooling, API scripts, or an agent-friendly control surface. Here is what each approach does and where the eesel CLI fits.

An AI agent API integration is never one endpoint. Here's the real surface area, why triggers eat half the work, and how to scope it before you start.

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.

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.

"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.