Explainers

What is… explained properly.

The concepts behind agent systems, each one answered in a page: what it is, why it matters, and what it looks like when it is actually running.

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What is an AI agent?

An AI agent is software that pursues a goal by acting — not just answering.

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What is agentic automation?

Agentic automation puts reasoning inside your workflows.

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What is an agent runtime?

An agent runtime is the environment where agents actually live: it executes their tool calls, manages memory and context, enforces permissions, and records what happened.

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What is MCP?

The Model Context Protocol (MCP) is an open standard for connecting AI models to tools and data.

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What is local-first software?

Local-first software keeps your data and computation on devices you control, treating the cloud as an optional accessory rather than the landlord.

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What is a workflow engine?

A workflow engine executes multi-step processes reliably: triggers start runs, steps execute in order or in parallel, failures retry, and state survives restarts.

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What is an AI operating system?

An AI operating system is the layer that turns models into a working environment: agents as processes, tools as devices, memory as the filesystem, and receipts as the audit log.

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What is agent verification?

Agent verification is proving what an AI agent actually did: which sources it read, which tools it invoked, what it decided and what it changed.

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