Pipeless Recommendations, 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 Pipeless Recommendations 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.
- Artificial Intelligence
- Connects with a key
- 10 ready-made tools
- Asked in Slack or Teams
An illustration of how the conversation reads, not a transcript from a client account.
What Pipeless Recommendations is
Pipeless provides graph-based activity feeds and personalized recommendations from application event data.
You paste in a key from your own Pipeless Recommendations account. It is kept encrypted, and you can withdraw it from inside Pipeless Recommendations whenever you like.
One message in, the work done in Pipeless Recommendations.
- 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 Pipeless Recommendations. You do not pick anything from a menu or wire anything together.
- 03
It does the work
Signed in to your own Pipeless Recommendations 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 Pipeless Recommendations
These are the ready-made tools your AI employee already has in Pipeless Recommendations. It is not limited to them, but it never has to be taught these.
- Create EventRecord one typed relationship event for Pipeless activity and recommendation algorithms. Referenced object records may be created or retained and are not removed when the event is
- Create Events BatchRecord 1 to 10 relationship events in one Pipeless request. Referenced object records may be created or retained and are not removed when the events are later deleted.
- Delete EventDelete event records matching an exact start object, relationship type and timestamp, and end object. Wildcard deletion is not supported by this tool.
- List Activity FeedReturn one cursor-controlled chronological page of actions by objects followed by a specified object.
- List Object ActivityReturn one cursor-controlled page of incoming or outgoing relationship activity involving a specific object.
- List Recent EventsReturn the most recent events sent to the app, up to the requested limit; Pipeless provides no continuation cursor for this read.
- List Recommended ContentReturn a bounded personalized list of content recommendations for an object using configurable positive, negative, tag, author, follow, and dismissal signals.
- List Related ContentReturn content objects related to a target content object using optional tag and collaborative-interaction signals.
- List Users To FollowReturn a bounded personalized list of user or account objects that the specified object may want to follow.
- Rank ContentRank a supplied set of content IDs for an object and report which IDs Pipeless could rank.
You stay the boss of your Pipeless Recommendations 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 Pipeless Recommendations 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 Pipeless Recommendations 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 Pipeless Recommendations 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 Pipeless Recommendations
- Can an AI employee really work inside Pipeless Recommendations?
- Yes. It signs in to your own Pipeless Recommendations 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 Pipeless Recommendations?
- No. Nothing moves and nothing is replaced. Your records stay in Pipeless Recommendations, 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 Pipeless Recommendations account?
- You paste in a key from your own Pipeless Recommendations account. It is kept encrypted, and you can withdraw it from inside Pipeless Recommendations 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 Pipeless Recommendations?
- It has 10 ready-made tools in Pipeless Recommendations today, among them Create Event, Create Events Batch and Delete Event. The full list is on this page. It is not limited to those, but it never has to be taught them.
- Can it use Pipeless Recommendations 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 Pipeless Recommendations 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 Pipeless Recommendations?
- 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 Pipeless Recommendations is written down with what it did and when.