Qwen 3.8 Max is absolutely insane. So,

I've been running Qwen 3.8 Max through

our Agent OS for the past week. And what

I'm about to show you is the most

impressive thing I've seen from any AI

model when it comes to actually running

a real business workflow, not writing a

blog post, not answering a question,

actually doing jobs. Multi-step,

long-running, complex jobs. And the

reason I'm excited about this

specifically is because of how well it

plugs into the Agent OS system we've

built, which I'm going to walk you

through in this video. Let's get into

it. First, what is Qwen 3.8 Max and why

does it matter? Alibaba officially

released it on August 3rd, 2026. It's a

2.4-trillion-parameter

mixture of experts model with 95 billion

active parameters, a 1 million token

context window, and native input for

text, images, and video. And the

benchmark that actually matters for what

we're doing on OS World Verified, which

tests how reliably an AI agent can

operate a real desktop environment and

complete multi-step tasks, Qwen 3.8 Max

scored 86.1, ahead of Fable 5 at 85.0,

and GPT 5.6 Soul Max at 83.2. Mind

Studio, Mind Studio, that benchmark is

the one I care about because OS World

isn't testing how good the model is at

writing a sentence. It's testing how

well an AI agent can actually navigate

apps, click through interfaces, and

finish real workflows. That's exactly

what we're doing with the Agent OS. Now,

let me explain the 2.4 trillion number

quickly because it sounds bigger than it

is in practice. The model uses something

called mixture of experts. It doesn't

activate all 2.4 trillion parameters at

once. Think of it like a building full

of specialists. When a task comes in,

only the relevant specialists get called

in. Around 95 billion parameters

activate per token, which is what makes

a model this enormous actually usable.

Mind Studio. The 1 million token context

window is the other thing I want you to

understand. That means you can feed this

model an entire knowledge base at once

full SOPs, all your email sequences,

your complete onboarding docs, your

client transcripts. It holds all of it

simultaneously and can reason across the

whole thing. That changes what's

possible inside an agent workflow

completely.

Now I want to show you what this

actually looks like when you run it

inside our agent OS. I'm going to screen

share the system right now so you can

see exactly what we've built and how

Qwen 3.8 Max fits into it. So what

you're looking at is the agent OS. This

is a complete pre-built agent system

that you can install as a zip file.

Everything is set up, the agents are

configured, the workflows are ready. You

don't need to build this from scratch.

And one of the things I've plugged into

it this week is Qwen 3.8 Max as the

reasoning engine and the results have

been genuinely impressive. Here's one

workflow I've been running. I have an

agent inside the agent OS set up

specifically for lead outreach for the

AI Profit Boardroom. I give it a target,

say a business owner who runs an agency.

The agent uses Qwen 3.8 Max to research

that person, identify the most relevant

pain point we solve for them, write a

personalized first message, and then

queue three follow-ups. The whole

sequence, research, write, queue, runs

in the background without me touching

it. That's the kind of thing that used

to take someone on a team half a day.

Now it runs while I'm in a coaching

call. The reason Qwen 3.8 Max works so

well here is the long context. I can

feed the agent our entire AI Profit

Boardroom knowledge base, what we offer,

who it's for, what problems we solve,

member testimonials, common objections,

and the agent holds all of that context

while writing each message. It doesn't

just generate something generic, it

connects the dots. Here's another one

I'm running, a content agent. Every week

it pulls together the biggest AI news,

connects it to what's relevant for our

community inside the AI Profit

Boardroom, and drafts a script for that

week's video. I give it access to the

channel's past videos so it knows the

style. I give it the community's most

asked questions so it knows what people

actually want. And Qwen handles the

reasoning, it figures out what's most

relevant, builds the angle, drafts the

structure, then I review and record.

That loop used to take me most of the

day. Now it takes about 20 minutes.

Look, if you want to get your hands on

this exact system and start running

these workflows in your own business

using models like Qwen 3.8 Max, here's

exactly what to do. Join the AI Profit

Boardroom and you'll get the full Agent

OS as a ready to install zip file, not a

tutorial explaining how to build it from

scratch, the actual system pre-built,

ready to go. Inside the Boardroom, we

walk you through how to install it, how

to connect it to the tools you're

already using, and how to configure

agents specifically for your business

goals, whether that's lead generation,

content, client onboarding, or outreach.

We run four coaching calls every week

where we go deep on exactly how to run

these agent systems and how to adapt

them as new models like Qwen 3.8 Max

keep dropping.

There are daily tutorials, a community

of business owners who are already

running agents like this, a prompt

library built around agentic workflows,

and a member map so you can connect with

people near you who are building the

same stuff. You don't have to figure any

of this out from zero. The system is

ready. Link in the description or go to

aiprofitboardroom.com.

Now, back to what makes Qwen 3.8 Max

specifically interesting for agent work.

Alibaba built in something they call

dynamic workflows, where the model can

plan a task programmatically and

orchestrate large numbers of sub-agents

in parallel, turning a single

instruction into an end-to-end automated

loop. That's not just a chatbot

completing one task, that's a model that

can spin up sub-agents, delegate parts

of the problem, run them in parallel,

and pull the results back together.

That's the kind of architecture that

makes long, complex business workflows

actually possible. Data camp. In one of

Alibaba's own demonstrations, they gave

Qwen 3.8 Max an autonomous coding

project and it ran for 16 days straight,

accumulating 265 commits, 127 pull

requests, and 151 issues, continuously

taking in community feedback,

dispatching tasks, writing code,

testing, and self-correcting. Now,

that's a coding example, but the

underlying capability is what matters

for our use case. A model that can hold

a goal, run a workflow, check its own

output, correct course, and keep going

without a human prompting at every step.

That's what makes it powerful inside an

agent system, DataCamp. The businesses

that have a working agent system, one

that can run outreach, handle content,

manage onboarding, research leads, and

execute workflows in the background, are

pulling ahead, and the gap between them

and businesses still doing this stuff

manually is not going to close. It's

going to widen. That's what the Agent OS

is built to solve. It's not a course

explaining what AI agents are. It's a

complete working system you install and

run. And Qwen 3.8 max is one of the most

capable models you can plug into it

right now for long context multi-step

business workflows. If you want to get

the full Agent OS and start running this

in your own business, here's what's

waiting for you inside the AI Profit

Boardroom. You get the complete Agent OS

as a ready-to-install zip file. The

agents are pre-built, the workflows are

configured. You install it, connect your

tools, and you're running. We show you

exactly how to set up Qwen 3.8 max

inside it, how to configure each agent

for your business, and how to adapt the

workflows as new models drop. Every week

we run four live coaching calls

specifically on how to run and grow with

agent systems like this, so you can ask

questions about your specific setup and

get answers in real time. There are

daily tutorials on the newest AI tools

as they release, a full prompt library

built around agent workflows, business

owners in the community who are running

these systems right now. You're not

starting from scratch and figuring it

out alone.

The system is built, the community is

active, and the support is there 24/7.

Link in the description or go to

AIprofitboardroom.com

to get the Agent OS. And if you want all

the notes from this video, plus 100 AI

use cases broken down step-by-step, join

the AI Success Lab. It's free. 75,000

members, and you'll find the link in the

comments and description. Qwen 3.8 Max

is one of the most capable agent models

available right now, and inside the

Agent OS it's seriously powerful. Go

grab the zip file, link below.