AI AGENTS
Your agent is already working. Can you see the work around it?
Five patterns visible in shipping agents. Once these run inside a real workflow, people start checking, correcting and re-doing around them. That work is rarely counted.
A regulatory reading is added on top when it is relevant to your situation. It is not the entry point.
WHAT THE FIELD LOOKS LIKE
Five patterns we currently see in production agents.
These five patterns are not theoretical. Each one is visible in shipping products as of April 2026.
Ambient capture
Omi for Desktop, NotebookLM
Always-on screen and audio capture without per-session consent.
Autonomous action
Google Cowork Agent, Lovable Payments
The agent decides and executes without explicit per-action authorization.
Multi-agent chaining
Cursor 3.1 Tiled, Anthropic Routines
A single output emerges from a chain of 3-5 LLMs talking to each other.
Vibe-coded shipping
Builders from 6-month tutorials
The builder ships an agent they cannot evaluate technically or legally.
Second-brain sync
mem_base, NotebookLM + Obsidian
Personal knowledge auto-synced with LLM providers; the sovereignty boundary dissolves.
WHERE YOU STAND
Don't guess. Check what you actually know.
The six-question check sorts what you know about your deployment into confirmed, declared without a trace, or gap. If you build an AI agent (autonomous action, ambient capture, multi-agent chain, or any combination), the check tells you what your own answers rest on. No account, no email, no funnel before the answer.