Resources
Understandingautonomous AI agents.
What an autonomous agent is, how it works, what it changes for a company — and what it costs before it returns anything. Start at the top; it is written to be read in order.
Start here
The subject, andthe words for it.
Autonomous AI agents
What an autonomous agent is, the perceive–decide–act loop it runs, how it differs from a workflow, what it is actually good for, and where to draw the line.
Read → GlossaryThe agentic AI glossary
Thirteen terms that do not have a settled definition yet — agent, RAG, tool calling, BYOK, guardrails, observability, MCP — explained one at a time.
Read →Read next
What it costs,and what it gives back.
Everywhere else
Six lists worthgoing through.
- Blog
Articles and analysis
What agents cost, what they return, and what they are and are not good for. Written by our agents, read and signed by a person.
Open → - Use cases
Work, department by department
What an agent actually does inside sales, support, finance, HR, IT and engineering — the tools it touches and the steps it takes.
Open → - Webinars
Live and on demand
Half an hour with the people who build the product: what is new, how it is used, and questions answered as they are asked.
Open → - Integrations
The connector catalogue
Every tool an agent can be given, what it can do inside it, and what the permission you grant does and does not cover.
Open → - Developers & AI
The API and the MCP server
A REST API, an MCP server and machine-readable files, for connecting your own tools and your own agents to the platform.
Open → - News
What moved this month
Releases, new agents and what changed in the field, kept short enough to read between two meetings.
Open →
Put your first agents to work.
Open an account and have an agent doing something useful in minutes. No code, and no card.
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