Warm wind just released an AI operating

system and the easiest way to explain it

is this. You give it a job and it

figures out how to do it across your

actual apps. You basically give an AI

its own computer in the cloud, show it

how to do a job once, and from that

point it can keep doing that job for you

every day, even when your own computer

is completely turned off. It can open

Gmail, read customer emails, jump into

SAP, find an order, answer the customer,

process documents, monitor websites,

qualify leads, move between completely

different pieces of software and keep

doing all of it in the background. And

the really interesting part is that the

software doesn't even necessarily need

an API. Warm wind wants the AI to use

applications the same way a human

employee would, by actually looking at

the interface, clicking, typing, and

navigating through it. Now, I already

know the question a lot of you are going

to have here. How is this different from

something like Open Claw? Because Open

Claw can already give an autonomous

agent access to browsers, tools,

software, and persistent workflows. The

difference is really in how the whole

thing is designed and who it's designed

for. Open Claw gives technical users an

extremely configurable autonomous agent

that you can build around models, tools,

skills, APIs, MCP, and your own

infrastructure. Warm wind is trying to

turn that broader capability into

something much closer to manage digital

[music] labor for companies, where

instead of building the agent, you can

literally show it how the job is done.

And that distinction becomes much

clearer once you actually see how Warm

Wind works. The product is called Warm

Wind OS. It launches worldwide today,

August 26th, and we've been working

directly with the Warm Wind team around

the release and getting an early look at

what they've built. They describe Warm

Wind as an AI operating system, although

it's important to understand that it

isn't replacing Windows or macOS. The

better way to think about it is that

every

with its own applications, its own

environment, and its own job. You can

open Warm Wind in the browser, and they

also [music] have a desktop version and

a mobile app for monitoring,

controlling, and managing workers. Their

workers are designed to operate across

Windows,

>> [music]

>> Linux, Android, and web applications.

The worker itself is cloud-based, so it

doesn't depend on your laptop staying

online. If you give it a task at the

office and then close your [music]

computer, the worker keeps going. And

that matters because Warm Wind isn't

really designed around one-off

questions. The whole product is built

around repetitive digital labor. The

best demo they showed me is customer

support because it makes the idea

obvious almost immediately. You open

teaching mode, and instead of writing a

giant prompt explaining every possible

step, Warm Wind watches what you're

doing while you explain it. In their

demo, the user tells the worker to open

Gmail, go through incoming customer

emails one by one, understand the

question,

>> [music]

>> then use SAP to find the information

needed for the reply.

So, the user opens an email from a

customer, points out the company name

and order number, switches over to SAP,

goes into the relevant customer field,

enters the information, runs the search,

finds the order data, and explains

[music] that this is the information the

worker should use to answer the email.

That's basically it. You don't need to

manually define every click. You don't

need to write a script for every screen.

The worker is watching the interface,

listening to the explanation, and

building a work plan from the

demonstration. After teaching is

finished, Warm Wind compiles what it saw

into a recurring workflow. It shows you

the worklist it plans to follow, and

then you tell it when to run. In their

demo, they schedule it for 9:00 in in

morning every day. The cursor starts

moving on its own. It opens the first

email, jumps into SAP, searches the

account, gets the information, and

continues through the task. And this is

where the product starts feeling less

like a chatbot and more like giving

somebody a desk job. Warm Wind says the

worker can also ask for missing

information when it gets stuck. You can

interrupt it, add instructions while

it's working, and watch a progress

indicator that reflects how well it has

learned that workflow. Their idea is

that you supervise it more closely at

the beginning, and as it sees more

examples and handles more cases, it gets

better and faster at the job. Now,

obviously, this is also the part that

needs to prove itself in the real world.

Because teaching an AI one clean

workflow is one thing. Giving it 200

messy customer emails where half of them

contain weird exceptions [music] is

another. So, I wouldn't treat this like

some magical one-click employee that

never makes a mistake. Warm Wind itself

tells users to watch the worker at first

and step in when it needs information.

But the underlying interaction model is

interesting because [music] it's

basically training by demonstration. And

there's another important piece here.

Warm Wind doesn't require every

application to expose an API. That's a

huge deal for businesses because real

companies are full of software that was

never designed for AI agents. Old

internal portals, [music] ERP systems,

supplier dashboards, accounting

software, random web tools, legacy

systems, and custom interfaces that

somebody built 12 years ago and nobody

wants to touch. Traditional automation

usually works best when every system

exposes clean, structured access. Warm

Wind is trying to get around that by

having the worker use software the way a

person does, visually, with a mouse and

keyboard. Their vision language system

looks at the interface, understands

what's on the screen, clicks, types,

navigates, and moves information between

applications. The company says that was

one of the reasons they didn't want to

build the entire system around

general-purpose language models.

According to Warm Wind, when they tested

state-of-the-art language models for

this kind of continuous computer use,

they ran into three problems. The first

was visual understanding. A language

model can analyze screenshots, but Warm

Wind argues that most of these models

still fundamentally live in a text-first

world, while normal office work is

heavily visual. The second was speed.

They claim that using general

state-of-the-art models for raw

interface interaction could take around

30 to 60 seconds for a single [music]

click because the model isn't just

clicking. It's reasoning about the

screen, describing an action, and then

another system still has to execute it.

And the third problem was cost. Warm

Wind says that if you tried to run

continuous interface automation this

way, using top general-purpose models,

the cost could reach around 1,000 euros

to 2,000 euros, or the equivalent in

dollars per hour, which obviously makes

no sense for repetitive business work.

So, they say they took more inspiration

from robotics and embodied AI. Instead

of treating every screen like another

long reasoning problem for a giant

language model, they built a more

specialized system optimized for visual

interaction and [music] repetitive

tasks. That's also why their positioning

is closer to a digital workforce than a

general AI assistant. A general

assistant waits for you to ask

something. Warm Wind wants the worker to

have a responsibility. One worker can

handle customer support. Another can

process invoices. Another can watch

competitors. Another can qualify leads.

And these aren't supposed to be 5-minute

tasks. They're recurring jobs that keep

running in the background and only pull

you in when there's an exception, a

decision, or an approval. Their document

workflows can find files, download them,

review them, organize them, and upload

them into another system. Their process

workflows can start with an incoming

[music] request and keep working until

the request is completed. Monitoring

workers can repeatedly check software,

websites, or internal [music] systems

and report only when something changes.

And lead workers can find prospects or

candidates, enrich the information,

qualify them, and send the useful ones

forward. Warm wind is basically built to

take over the repetitive office work

people waste hours on every day. One

worker might handle invoices. Another

could deal with customer requests, while

others keep an eye on things like

recruiting, social media, competitors,

or whatever else you'd normally have

someone checking manually. The point

isn't really that every company needs

every one of these. It's that the worker

is supposed to operate across the same

messy mix of software that a human

employee already uses. Warm wind also

has native apps that are designed to

make common actions faster than relying

entirely on visual control, so the

system isn't religiously committed to

clicking everything on screen when

there's a better path available. But the

visual layer is what lets it keep

working when there's no API or custom

integration. And then there's scale. The

product is designed to start with one

worker, but Warm Wind says you can scale

from one to 10 to 100 to 1,000 workers,

all managed through the cloud.

>> [music]

>> That's where this starts getting more

interesting from a business perspective

because the pitch isn't just automate

this one browser task.

>> [music]

>> The pitch is turn a repetitive

department workflow into a fleet of

cloud workers. Each worker has its own

cloud computer, which also means it

doesn't need to fight with you for

control of your machine. You aren't

trying to use your laptop while an agent

randomly steals your cursor. The AI has

its environment. [music]

You have yours. Security obviously

becomes a massive issue the second you

start talking about giving AI access to

company email, ERP [music] systems,

customer records, invoices, passwords,

and internal [music] tools. Warm Wind

says all user data is stored on isolated

servers in Germany. Each user

environment is separated from every

other environment. Only the respective

user can access their data and

environment. And data isn't shared

between users. They also include a

built-in password manager and say the

system was designed with enterprise

security in mind. Their launch material

says users can download their

information locally

>> [music]

>> and remove the cloud copy when they no

longer want it stored there. I would

still treat those as Warm Wind security

claims rather than some blanket

guarantee that nothing can ever go

wrong. Because if a company is going to

give any autonomous system access to

critical software, that deserves a

serious security review. There's also

the usability side, which is probably

where Warm Wind has its best shot at

separating itself from the agent

platforms people already know.

They built the whole setup around this

idea that the interface should feel more

like an appliance than a developer tool.

You create a worker, install the

applications it needs, [music] and then

either prompt it or teach it. Voice

input is supported. So, during teaching

mode, you can literally talk through the

task while performing it. If voice is

awkward, you can use [music] text. And

that sounds almost too simple, but

simplicity is actually the product bet

here. There are already plenty of

extremely powerful agent systems.

[music] The question is whether a normal

business user wants to learn how to

build one. Warm Wind

>> [music]

>> is betting that they don't. They want

the accountant to show the worker how

invoices are processed. [music] They

want the support manager to show it how

customer requests are handled. They want

the recruiter to show it how applicants

are screened.

The person who understands the job

teaches the AI directly instead of

explaining the job to a developer, who

then builds an automation, which then

breaks [music] 6 weeks later when

somebody changes a button. That's the

part I'm most interested in seeing

tested properly. [music] Because if the

teaching system really holds up across

messy real workflows, then this isn't

just another agent with a nice

interface. It becomes a different way of

deploying automation inside companies.

Warm Wind is launching [music] with

access starting at 24 euros per week.

The company says that includes the

ability to run multiple workers, and

they're also planning a very limited

free version. For the initial launch,

they say they have capacity for 10,000

users. So, if you want to try it, Warm

Wind is live today at warmwind.com.

They also published their full launch

video on the Warm Wind OS YouTube

channel, [music] where they go deeper

into the product and show more of the

actual system running.

>> [music]

>> I'll leave both below. Thanks for

watching and I'll catch you in the next

one.