An AI Teammate needs a checkpoint, not a leash

The fastest way to lose someone's trust is an AI that emails a client something nobody approved. The fastest way to make an AI useless is to make it ask permission for every keystroke. We built Jaymini around one idea that sits between the two: the checkpoint.

How a job runs

• Something arrives: meeting notes, a long document, a thread that needs a reply. Today that means text you paste in.
• Jaymini works in visible steps and writes a draft: minutes, a summary or a follow-up.
• You review it. Ask for changes in plain words, or approve it.
• Only then does anything change, and the change keeps a record you can check.

Why one owner per job

Once AI is doing real work, the new failure mode isn't only one draft being wrong. It's the same follow-up being written twice. In Jaymini, a task has one owner at a time, you or an AI Teammate, and the database enforces it.

Why outside content is fenced

Emails, chat messages and meeting transcripts are written by other people. Some of them, someday, will contain instructions aimed at your AI. Jaymini treats everything from outside as information, never as instructions, and the model never gets the power to send or post on its own. Every side effect goes through one code path that checks permissions and your approval first.

None of this makes the AI less capable. It makes it something you can actually hand work to.