CAIN PathCorrection, explained for beginners

PathCorrection spots agents stuck in loops or drifting off task and hands back a reminder of the goal.

No AI background needed. Read this page (3 minutes), then try the two live demo tools, then the copy, paste, send page and the six-page seller's guide.

What it is

Long-running agents get stuck: the same search over and over, or a slow drift away from the task.

PathCorrection scores the drift of the recent steps. Under the tolerance: carry on. Over it: requires_steering, with an anchor message to put back in front of the agent.

An everyday comparison

A sat-nav saying 'you've passed this roundabout five times'.

How it works, in 4 steps

Send the goal and the recent steps.
Drift is scored.
Under tolerance: maintain.
Over: an anchor message is returned.

Try it now

Open the two live demo tools → Every button sends a real request to the live product and shows the real answer.

See it on the homepage: CAIN PathCorrection section →

Who it is for

Teams running long, multi-step agents.

FIRME AI CORPORATION · CAIN-42 is a Byzantine trust fabric. Numbers marked "our own check" were run by us, not by an independent party. Nothing on these pages is a certification.