Meraki
The iterative layer for AI agents.
Meraki turns your corrections into guidance for the next relevant task, then shows what changed, whether it helped, and how to undo it.
Your feedback should not vanish after one answer.
Meraki turns one correction into a small, reviewable change that only follows related work.
Correct the result.
Show the agent what missed the mark and what you would choose instead.
Keep the reason.
Meraki saves the correction with the task, source, and outcome that gave it meaning.
Propose one change.
It turns the evidence into a narrow suggestion. Nothing changes yet.
Use it where it belongs.
Approve it for the right project or task. Unrelated work stays untouched.
See if it worked.
Compare the next result. Keep the change, narrow it, or undo it.
AI does not improve because it remembers more.
Most memory systems solve recall. Meraki is trying to solve change: what a correction should affect, where it belongs, and whether it actually made the next result better.
A correction is evidence, not permission to rewrite your profile.
Meraki can turn that evidence into a small proposed rule. You decide whether it is used, and only matching work receives it.
Every accepted change keeps its source, result, and undo path. Keep what helps. Narrow what leaks. Roll back what fails.
