Vectorshift, 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 Vectorshift 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.
- Developer Tools
- Connects with a key
- 12 ready-made tools
- Asked in Slack or Teams
An illustration of how the conversation reads, not a transcript from a client account.
What Vectorshift is
The End-to-End AI Automations Platform for building and deploying AI workflows, pipelines, chatbots, and knowledge bases.
You paste in a key from your own Vectorshift account. It is kept encrypted, and you can withdraw it from inside Vectorshift whenever you like.
One message in, the work done in Vectorshift.
- 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 Vectorshift. You do not pick anything from a menu or wire anything together.
- 03
It does the work
Signed in to your own Vectorshift 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 Vectorshift
These are the ready-made tools your AI employee already has in Vectorshift. It is not limited to them, but it never has to be taught these.
- Create ChatbotTool to create a new chatbot. Chatbots are conversational AI interfaces built on pipelines. Use when you need to create a new chatbot with a specific pipeline configuration.
- Delete ChatbotTool to delete a chatbot by its ID. Permanently removes the chatbot from the account. Use when you need to remove a chatbot that is no longer needed.
- Get ChatbotTool to fetch an existing chatbot by its ID or name. Returns chatbot configuration and metadata. Use when you need to retrieve details about a specific chatbot. Either chatbot ID o
- Get Knowledge BaseTool to fetch an existing knowledge base by its ID or name. Returns knowledge base configuration and metadata. Use when you need to retrieve details about a specific knowledge base
- Get PipelineTool to fetch an existing pipeline by its ID or name. Returns pipeline configuration and metadata. Use when you need to retrieve a specific pipeline's details, configuration, or me
- List ChatbotsTool to list all available chatbots in the account. Use when you need to retrieve chatbot IDs or full chatbot details.
- List Knowledge BasesTool to list all available knowledge bases in your VectorShift account. Use when you need to retrieve knowledge base information by id or name.
- List PipelinesTool to list all available pipelines in the VectorShift account. Use when you need to retrieve the catalog of pipelines. Supports filtering for shared pipelines and verbose output
- List TransformationsTool to list all available transformations in the account. Use when you need to retrieve transformation IDs or complete transformation objects.
- Run PipelineTool to run a VectorShift pipeline with the given inputs. Use when you need to execute a pipeline and get its results or runid for asynchronous execution. Returns the pipeline exec
- Run Pipeline in BulkTool to run a VectorShift pipeline in bulk with multiple sets of inputs. Use when you need to batch process multiple pipeline executions in a single API call. Returns the overall s
- Terminate Pipeline ExecutionTool to terminate a running pipeline execution. Use when you need to stop a pipeline run by its runid.
You stay the boss of your Vectorshift 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 Vectorshift 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 Vectorshift 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 Vectorshift 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 Vectorshift
- Can an AI employee really work inside Vectorshift?
- Yes. It signs in to your own Vectorshift 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 Vectorshift?
- No. Nothing moves and nothing is replaced. Your records stay in Vectorshift, 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 Vectorshift account?
- You paste in a key from your own Vectorshift account. It is kept encrypted, and you can withdraw it from inside Vectorshift 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 Vectorshift?
- It has 12 ready-made tools in Vectorshift today, among them Create Chatbot, Delete Chatbot and Get Chatbot. The full list is on this page. It is not limited to those, but it never has to be taught them.
- Can it use Vectorshift 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 Vectorshift 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 Vectorshift?
- 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 Vectorshift is written down with what it did and when.