Modelry, worked by an AI employee
Not another app for your team to learn, and not a set of rules for you to build. You hire an AI employee, you give it access to your Modelry account, and you ask it for things in Slack or Teams the way you would ask anyone else on the team. There is nothing to map and nothing to maintain.
- Ecommerce
- Connects with a key
- 15 ready-made tools
- Asked in Slack or Teams
An illustration of how the conversation reads, not a transcript from a client account.
What Modelry is
Modelry is a 3D visualization platform for eCommerce that creates custom 3D product models, AR experiences, and digital asset management.
You paste in a key from your own Modelry account. It is kept encrypted, and you can withdraw it from inside Modelry whenever you like.
One message in, the work done in Modelry.
- 01
You ask
You message your AI employee in the chat your team already has open, in one sentence, in your own words.
- 02
It works out the step
It decides what the job needs in Modelry. You do not pick anything from a menu or wire anything together.
- 03
It does the work
Signed in to your own Modelry account, inside the access you granted it, doing the thing you asked for.
- 04
It reports back
It tells you what it did, in the same thread. If it could not do something, it says so rather than guessing.
What it can do in Modelry
These are the ready-made tools your AI employee already has in Modelry. It is not limited to them, but it never has to be taught these.
- Create WorkspaceTool to create a new workspace. use when you need to group products and embeds into a dedicated workspace. call after authenticating and specifying workspace details.
- Delete Modelry EmbedTool to delete an embed. tries multiple common endpoint patterns and treats 404 as idempotent success after exhausting candidates (embed already deleted or not found).
- Delete Modelry ProductTool to delete a product. use after confirming the product id.
- Delete Modelry WorkspaceTool to delete a workspace. use after confirming the workspace id.
- Delete Product RepositoryTool to delete a product repository. use after confirming the repository id.
- Get EmbedTool to retrieve details of a specific embed. use after confirming the embed id.
- Get Product RepositoryTool to retrieve details of a specific product repository. use when you have a repository id and need its details.
- Get WorkspaceTool to retrieve details for a specific workspace. use after confirming the workspace id.
- List EmbedsTool to list available embeds. use when you need embed ids for downstream actions (e.g., modelry get embed). supports optional pagination.
- List Modeling RequestsTool to list all 3d modeling requests associated with the authenticated user's workspace. use after authenticating to fetch your modeling requests.
- List Modelry ProductsTool to list all products in modelry. use when you need to retrieve available products after authenticating.
- List Modelry WorkspacesTool to list all workspaces in modelry. use when you need to retrieve available workspaces after authenticating.
- List Product RepositoriesTool to list all product repositories in a workspace. use after confirming the workspace id.
- Order Modeling ServiceTool to place an order for 3d modeling services. use when workspace and product ids are known and modeling specifications are ready.
- Track Modeling ProgressTool to track the progress of a 3d modeling request. use after initiating a modeling job to poll current status and completion percentage.
You stay the boss of your Modelry account.
Nothing connects until you approve it. You grant access one app at a time, you can take it back the same way, and everything your AI employee does in there is written down where you can see it.
How we handle your data- It signs in to your own Modelry account. You are not moving anything into ours.
- You grant access one app at a time, and you can take it back the same way.
- Everything it does in Modelry is written down, with what it did and when.
- Anything you tell it to check with you first, it checks with you first.
It works in Modelry and the rest of your software in the same job
A real job rarely stays in one place. Reading a message in one app, checking a record in another and writing the result in a third is one request to your AI employee, not three.
Questions people ask about Modelry
- Can an AI employee really work inside Modelry?
- Yes. It signs in to your own Modelry account and works in it the way a new hire would, from the chat your team already has open. Nobody installs anything, and nobody learns a new screen.
- Do I have to move anything out of Modelry?
- No. Nothing moves and nothing is replaced. Your records stay in Modelry, your team carries on in the same screens they used yesterday, and your AI employee works alongside them in there.
- How does it get into my Modelry account?
- You paste in a key from your own Modelry account. It is kept encrypted, and you can withdraw it from inside Modelry whenever you like. You approve it before anything connects, and you can take the access back the same way you gave it.
- What can it actually do in Modelry?
- It has 15 ready-made tools in Modelry today, among them Create Workspace, Delete Modelry Embed and Delete Modelry Product. The full list is on this page. It is not limited to those, but it never has to be taught them.
- Can it use Modelry and the rest of my software in the same job?
- Yes, and that is usually the point. Reading a message in one app, checking a record in Modelry and writing the result somewhere else is one request to your AI employee, not three separate ones you stitch together.
- Who decides what it is allowed to do in Modelry?
- You do. You grant access one app at a time and can withdraw it at any time, anything you ask it to check with you first it checks with you first, and everything it does in Modelry is written down with what it did and when.