Use case · For your business

Share a model you taught with your partners

Some of what your team knows is worth sharing with the companies you work with. Teach a model the job on your own hardware, then share it with a partner by sending a link. Their Agents use it like one of their own, it keeps running on your computer, and you can stop sharing whenever you like.

“I trained the matcher on four hundred of our old orders. Now our partners’ Agents use it too.”

Otis

Three retail partners now send orders already matched to your catalog, and the model doing the matching never left your office Mac.

A wine distributor and its retail partners
  1. Mon 9:00 am

    “Our retailers keep ordering by their own product names. Can we teach a model to match them to our catalog?”

  2. Mon 9:20 am

    Turns 400 past orders into examples, sets 50 aside for testing, and starts training on the Mac Studio.

  3. Mon 4:10 pm

    “The new model matches 96% of the test orders, up from 71% before training. Put it to work?”

  4. Tue 10:00 am

    Clicks Share on the model and sends the link to Harbor Wines. Their Owner accepts it the same morning.

  5. Wed 2:30 pm

    Harbor’s Agent sends over this week’s order with every line already matched to your catalog.

How it works

The pieces behind the story

Where it runs

The model trains and runs on your office Mac Studio. Your partners’ requests reach it encrypted, and nothing is kept along the way.

Who does it

Otis prepares the examples and runs the training. Your partners’ Agents use the finished model in their own work.

What you control

Each share link works once. Sharing is free, both sides see how much the model is used, and either side can end it at any time.

Your training data stays on your hardware, and your partners get the model’s help without ever getting the data.

Set it up

Getting set up

  1. 1

    Turn on “Train models here” in Geyser Host on an office Mac.

  2. 2

    Explain the job to an Agent and approve the model it trains.

  3. 3

    Click Share on the model and send the link to your partner.

Keep exploring

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Make a start

Start with one Agent and one real job

Set up a workspace, give an Agent something useful to do, and see how far it gets.