The knowledge layer before the AI layer

AI projects rarely fail on the models. They fail because the machine doesn’t know the real process — only the ideal from the documentation, which has little to do with practice.

Agents are only as good as the knowledge beneath them

An agent meant to automate a process needs the real sequence: which steps, who’s responsible, where decisions are made, where it stalls. If that’s written down nowhere cleanly, automation stays an impressive demo with no production value.

Collect first, then automate

Magnet condenses the lived process knowledge from your systems — as the structured foundation on which automation can actually stand. The knowledge layer comes before the AI layer, not the other way round.

A deliberate head start

If you take AI seriously, you build the foundation first. Magnet is exactly that head start: reality, before the agents are let loose on it.