Plain-Language Guides to AI Agents
No hype, no invented statistics — just clear explanations of what an agent actually is, how it differs from a chatbot or a plain automation, what it costs, and what's behind the platforms we build with.
The Foundational Questions
If you're new to the term, start with these. Each one answers a specific, different question rather than covering the same ground twice.
What Is an AI Agent?
A plain-terms definition for anyone who's never had the concept explained properly.
AI Agent vs. Chatbot
The specific distinction that decides whether a tool actually does the job or just talks about it.
How AI Agents Work
The mechanics — reading state, deciding, acting, escalating — in plain language.
AI Agent vs. Automation
Where a rule-based automation stops being the right tool and an agent starts making sense.
What Does an AI Agent Cost?
The ongoing operating costs — API usage, maintenance — behind running one, vendor-neutral.
AI Agent Development Cost
What drives the upfront cost of building one: complexity, integrations, and the systems it touches.
What's Behind the Build
For anyone who wants more of the engineering detail — the techniques and platforms we build with, and what we actually evaluate them for.
Or Skip the Reading Entirely
A short discovery call answers most of this faster than a page ever will, tailored to your actual task.