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Hyperagent

Teach it something

Save your first memory and feel the product learning with you.

Your agent did the job, and somewhere in the thread you corrected it: the report should open with the number, the deadline is Thursday, the client's name is spelled Kaczmarek. Say it once more next week and you're training a goldfish. Save it, and you never say it again.

One correction, saved, beats ten repeated

A memory is a fact the agent carries into every future run. Teach it the things you're tired of repeating and each thread starts further ahead.

Save your first memory

In the thread where you made the correction, just ask:

Remember this: reports for the exec team always open with the headline number.

The agent posts a draft card showing exactly what it will save. Edit the wording if you like, then press Save. From now on, every thread with this agent starts knowing it.

Or let the agent do the noticing

Work naturally and the agent notices lessons on its own: corrections you made, preferences you stated, methods that worked. Its proposals appear as Suggested learnings under its replies, and nothing saves until you accept.

Suggested learnings beneath an agent's reply in a real thread: a pending count and two proposal rows, each expandable, with a View all link
The agent proposes; you decide. Accept the right ones and the agent compounds.

Methods can be saved too: a repeatable procedure becomes a skill any of your agents can follow. When the agent proposes one, accepting it builds the skill for you. Skills →

Where this goes

This loop, correct → save → never repeat, is the whole learning system in miniature. When you're ready to tune how much the agent learns on its own, or to review a queue of its proposals, the Learning docs cover it.

FAQs

Next: the agent knows the job. Put it where the work happens. Put it where you work →