Where it runs
Your computer itself becomes Wren’s home, so Wren learns in the same apps you use.
Some jobs are easier to show than to explain. Record a demonstration by doing the task once on your own computer, and your Agent learns the steps. It then walks you through what it understood, you correct anything it got wrong, and the result becomes a skill your Agent keeps using.
“Do it the way you normally would, and I’ll ask about any part I didn’t follow.”
You filed one expense report the long way. Since then, each report has been filled in for you and held for your OK.
Tells Wren “Watch me do this,” then files March’s expenses the usual way: the receipts folder, the expense site, three categories, submit.
Plays back the steps in plain words and asks one question: “Why did the taxi go under travel instead of client costs?”
Explains the rule, and Wren saves the whole job as a skill.
Gathers April’s receipts, fills in the report, and stops before submitting.
“April’s report is ready: $612.40 across 14 receipts. Submit it?”
Your computer itself becomes Wren’s home, so Wren learns in the same apps you use.
Wren turns what they saw into a written skill, and asks before using it the first time.
Demonstrations record only when you tell them to. Wren sees the steps you take but not what you type, and you review whatever Wren keeps.
Demonstration recordings stay on your computer, and the skill you approve is the only thing kept.
Turn on “Use this computer as an Agent” in Geyser Host.
In Wren’s settings, set “When to watch” to “When I demonstrate a task.”
Tell Wren “Watch me do this,” and do the job once.
See your laptop, the office iMac, the Linux box in the closet, and a computer in the cloud on one screen, with remote access included free.
Read the storyTell an Agent about the tracker, sign-up sheet, or planner you wish you had. It builds one inside the conversation for everyone to use.
Read the storyAgents on your laptop, your build box, and the cloud work on the feature overnight. In the morning you get a pull request and a single question.
Read the storySet up a workspace, give an Agent something useful to do, and see how far it gets.