Announcing a New Way to Create AI Employees

Today, we’re announcing the new Lindy: the first platform letting you build a team of AI employees working together to perform any task.

We think that agents are the most exciting application of AI, as they don’t limit themselves to “generating” things like copywriting or illustrations, but actually perform actions for you. 

Tools have emerged that let you create these agents, but they still require advanced coding skills.

We think AI agents are so awesome, so versatile, so powerful, that anyone should be able to create them and make them fit their workflows — no coding should be needed. 

Building an agent to do work for you should be as easy as talking to a teammate: you should just be able to tell them what to do, in plain English, and invite them to the apps they need.

That’s what the new Lindy lets you do.

Create a Lindy in 30 seconds

Building an agent to do work for you should be as easy as talking to a teammate: you should just be able to tell them what to do, in plain English, and invite them to the apps they need.

That’s what the new Lindy lets you do.

You can create Lindies in as little as 30 seconds — like this Lindy that keeps track of your competitors:

Societies of Lindies: Let your Lindies Work Together

The real magic comes out once you set up your Lindies in AI teams, akin to an assembly line that can support advanced workflows.

To re-use the example above, you can set up a “Competitive Intel Manager” Lindy to spin up one “Competitive Analyst” Lindy per competitor you want to keep track of:

You can make these “Societies of Lindies” as advanced as you’d like. We even have one that helps us build integrations to 3rd party APIs, with a Lindy to:

  • Find the documentation to the API online
  • Distribute the work amongst multiple Lindies
  • Write the code
  • QA the code

You can then watch your Lindies work together — here, the Engineering Manager is complimenting a Software Engineer, and giving it feedback:

Triggers

Lindies can work autonomously, and be “woken up” by triggers like a new email, a new ticket, a webhook being hit, etc…

Here, I set up my Competitive Intel Manager Lindy to wake up every month and send me a new report:

Triggers also mean that you can access your Lindies anywhere you’d like — through email, Slack, SMS, etc… Just like a regular teammate. 

For example, you can create a Meeting Scheduler Lindy, add a trigger to give her an email address, and start cc’ing her to your email threads to schedule meetings:

Lindies Learn From Your Feedback

Lindies continuously learn from their interactions with both you and other Lindies. Here, I give feedback to my Support Agent Lindy on how to best communicate with our customers:

Better yet: Lindy learns in plain English, so you can inspect and understand exactly what she’s learning.

——

AI employees have many advantages over regular employees, being:

  • Much faster
  • Much cheaper
  • Available 24 / 7 / 365
  • More consistent: you train your Lindies once and watch them follow your instructions forever after
  • Infinitely scalable: Lindies elastically scale up and down with your demand. Imagine growing from 1 to 1 million customers, without ever having to worry about hiring more customer support agents.

These advantages are so formidable that ultimately, the future of business will simply come down to the ability to manage these AI teams.

The new Lindy will be available soon. As this technology matures, it will unlock the greatest leveling of the playing field we’ve ever seen: you won’t be constrained by time, money, or team anymore. You will be able to achieve anything, and have an impact on the same scale today’s biggest corporations — with just you, your laptop, and your Lindies.

Announcements

Announcing a New Way to Create AI Employees

Lindy Drope
Updated:
November 1, 2024

Today, we’re announcing the new Lindy: the first platform letting you build a team of AI employees working together to perform any task.

We think that agents are the most exciting application of AI, as they don’t limit themselves to “generating” things like copywriting or illustrations, but actually perform actions for you. 

Tools have emerged that let you create these agents, but they still require advanced coding skills.

We think AI agents are so awesome, so versatile, so powerful, that anyone should be able to create them and make them fit their workflows — no coding should be needed. 

Building an agent to do work for you should be as easy as talking to a teammate: you should just be able to tell them what to do, in plain English, and invite them to the apps they need.

That’s what the new Lindy lets you do.

Create a Lindy in 30 seconds

Building an agent to do work for you should be as easy as talking to a teammate: you should just be able to tell them what to do, in plain English, and invite them to the apps they need.

That’s what the new Lindy lets you do.

You can create Lindies in as little as 30 seconds — like this Lindy that keeps track of your competitors:

Societies of Lindies: Let your Lindies Work Together

The real magic comes out once you set up your Lindies in AI teams, akin to an assembly line that can support advanced workflows.

To re-use the example above, you can set up a “Competitive Intel Manager” Lindy to spin up one “Competitive Analyst” Lindy per competitor you want to keep track of:

You can make these “Societies of Lindies” as advanced as you’d like. We even have one that helps us build integrations to 3rd party APIs, with a Lindy to:

  • Find the documentation to the API online
  • Distribute the work amongst multiple Lindies
  • Write the code
  • QA the code

You can then watch your Lindies work together — here, the Engineering Manager is complimenting a Software Engineer, and giving it feedback:

Triggers

Lindies can work autonomously, and be “woken up” by triggers like a new email, a new ticket, a webhook being hit, etc…

Here, I set up my Competitive Intel Manager Lindy to wake up every month and send me a new report:

Triggers also mean that you can access your Lindies anywhere you’d like — through email, Slack, SMS, etc… Just like a regular teammate. 

For example, you can create a Meeting Scheduler Lindy, add a trigger to give her an email address, and start cc’ing her to your email threads to schedule meetings:

Lindies Learn From Your Feedback

Lindies continuously learn from their interactions with both you and other Lindies. Here, I give feedback to my Support Agent Lindy on how to best communicate with our customers:

Better yet: Lindy learns in plain English, so you can inspect and understand exactly what she’s learning.

——

AI employees have many advantages over regular employees, being:

  • Much faster
  • Much cheaper
  • Available 24 / 7 / 365
  • More consistent: you train your Lindies once and watch them follow your instructions forever after
  • Infinitely scalable: Lindies elastically scale up and down with your demand. Imagine growing from 1 to 1 million customers, without ever having to worry about hiring more customer support agents.

These advantages are so formidable that ultimately, the future of business will simply come down to the ability to manage these AI teams.

The new Lindy will be available soon. As this technology matures, it will unlock the greatest leveling of the playing field we’ve ever seen: you won’t be constrained by time, money, or team anymore. You will be able to achieve anything, and have an impact on the same scale today’s biggest corporations — with just you, your laptop, and your Lindies.

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