Big Idea

The argument in one line.

With an MCP connector into OBS, an AI agent can configure scenes, encoders, audio and branding for your exact hardware, so a beginner skips the settings maze entirely.

Who This Is For

Read if. Skip if.

READ IF YOU ARE…

A beginner who wants to live stream or record in OBS but doesn't want to learn every setting, bitrate and audio route first.
An experienced OBS user who wants an AI to double-check settings, troubleshoot problems, or build new scenes while they do something else.
A creator curious how far an MCP connector between an AI app and desktop software can actually be pushed today.

SKIP IF…

You want a manual, step-by-step OBS tutorial. The host points to his other videos for that.
You need a Windows-specific walkthrough. The demo runs on a Mac with the ChatGPT Codex app.

TL;DR

The full version, fast.

OBS is free and powerful but hard for beginners. Justin Brown installs an open-source OBS MCP server through the ChatGPT Codex app, enables OBS's WebSocket server by hand, then describes his goal: YouTube live streaming with a local backup. The AI asks about gear, runs an upload speed test, chooses 1440p at 30 fps with Apple's hardware encoder, builds three scenes, routes separate audio tracks, and measures microphone-to-webcam delay with clap tests. It then crops layouts on request and generates a branded fourth scene from his website. The whole job cost about seven dollars of included tokens.

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Chapters

Where the time goes.

00:00 – 01:00

01 · The goal: hands-off OBS setup

Why OBS is hard for beginners and what the experiment tests.

01:00 – 03:21

02 · Installing the OBS MCP connector

Codex installs the open-source server, then OBS's WebSocket server and password are enabled manually.

03:21 – 05:40

03 · Describing the setup you want

A plain-language prompt for YouTube streaming, local backup and three scenes; the AI asks about gear and runs a speed test.

05:40 – 09:28

04 · Scenes, audio and encoder built

OBS crashes once and recovers; the AI builds scenes, sets 21 Mbps and separate audio tracks.

09:28 – 12:55

05 · Test recordings and lip-sync checks

Clap tests find the mic about 160 ms ahead of the webcam.

12:55 – 17:14

06 · YouTube connection and layout fixes

OAuth connect, a paused test broadcast, then cropping the screen share and camera overlay.

17:14 – 18:17

07 · Review and saving profiles

Walkthrough of the finished scenes and the idea of saving the setup as a reusable profile.

18:17 – 21:07

08 · A branded fourth scene

The AI reads primalvideo.com for fonts and colors and generates a polished background scene.

21:07 – 24:07

09 · Cost and takeaways

About 40 million tokens and seven dollars; who benefits and a closing pitch for the free PDF guide.

Atomic Insights

Lines worth screenshotting.

An MCP server for OBS exposed 148 tools covering scenes, sources, audio, filters and recording, which is enough for an AI to configure a whole install.
Passwords stay manual: the AI told the user to enable OBS's WebSocket server and generate a password himself rather than managing credentials.
Given only a goal and gear names, the AI ran its own upload speed test and chose 1440p, 30 fps and the Apple hardware encoder.
Reusing the stream encoder for the local backup recording avoids encoding the video twice and lowers processing load.
The AI measured microphone audio arriving 160 milliseconds ahead of the webcam using clap tests, a level of tuning most users would skip.
The AI asked clarifying questions mid-task, such as how to fit a taller MacBook display into a 16 by 9 canvas, instead of guessing.
Interrupting a running agent with a steer prompt let the host cancel a YouTube test broadcast and return to fixing scenes.
Pointed at a website, the AI pulled the brand fonts and colors and generated background art and borders for a fourth scene with almost no guidance.
The full setup, including the graphics scene, used about 40 million tokens, roughly seven dollars at API rates, and was covered by his plan.
Once the agent knows your computer and settings, you can have it save them as a profile so you never repeat the grunt work.
An agent connected to OBS opens the door to live automations, like on-screen changes when someone donates or an email arrives, without extra third-party tools.
Screen recording the demo itself interfered with the sync check, so the AI left the delay value provisional until recording finished.

Takeaway

Describe the goal, let the agent configure

WHAT TO LEARN

An MCP connector turns OBS setup into a conversation: state your goal and gear, and the agent configures, measures and verifies the rest.

Install an OBS MCP server, then enable the WebSocket server and generate a password yourself, since credentials are the one step the AI should not manage.
Describe the outcome you want in plain language, such as YouTube streaming with local backup and three named scenes, and let the agent ask follow-up questions.
Let the agent measure instead of guess: an upload speed test led to 1440p at 30 fps and a 21 Mbps stream using the hardware encoder.
Reusing the stream encoder for the backup recording and recording separate mic and computer audio tracks keeps load low and editing flexible.
Clap tests let the agent measure microphone-to-webcam delay, about 160 ms here, which is hard to dial in by hand without knowing where to look.
Steer a running agent with corrections, like cropping only the bottom of a screen share or tightening the camera overlay, instead of restarting.
Point the agent at your website and it can pull fonts and colors to build a branded scene, so you skip buying templates.
Save the finished setup as a profile so future changes start from a known good baseline, and expect the whole job to cost roughly seven dollars of tokens.

Glossary

Terms worth knowing.

MCP: Model Context Protocol, a standard connector that lets an AI app call tools in another program, here the controls inside OBS.
OBS WebSocket server: A built-in OBS setting that lets other programs send it commands over the network. It must be enabled and given a password before the AI can connect.
Hardware encoder: A chip-based video encoder, such as Apple's on a Mac, that compresses video with far less CPU load than software encoding.
Picture in picture: A scene layout where the camera feed sits as a small window over a full-screen screen share.
Steer: A Codex control that interrupts a running task and overrides it with an updated prompt.

Resources

Things they pointed at.

01:40toolOBS Studio

01:28toolOBS MCP server (GitHub)

01:02toolChatGPT Codex app

19:58linkprimalvideo.com

15:48productPrimal Video free live streaming PDF guide

Quotables

Lines you could clip.

16:40

“This is by far one of the coolest things that I have seen.”

Clear enthusiasm moment tied to a visible result.→ IG reel cold open↗ Tweet quote

22:09

“For seven dollars to have this totally set up and good to go.”

Concrete cost payoff.→ TikTok hook↗ Tweet quote

The Script

Word for word.

Read-along

Don't just watch it. Burn it in.

See every word as it's spoken — crank it to 2× and still catch all of it. The same dual-channel trick behind Amazon's Kindle + Audible.

In this video, we're going to see how far we can push using AI to help us get OBS set up for live streaming and for recording. OBS is an amazing, totally free tool that is awesome for live streaming, for screen recording, for recording cameras and things directly into your computer. But it's not that easy, especially if you're on the beginner end of things to use.

Now, we do already have other tutorials on our channel linked in the description below. If you do want to step through the process yourself or go beyond this and learn how to use OBS. But what we're trying to do here is to fast track the setup piece and see how far we can push this, how hands -off we can be with getting this set up for your specific computer to get the best results out of OBS.

And obviously you'll be able to follow along and customize things up for your specific setup and for what you're trying to do with it. Now I'm going to be taking you through on a Mac. I'm also going to be using ChatGPT, but this will also work if you're using Windows or even Cloud Code.

So first off, you want to make sure that you're running the latest version of OBS here at the time of the recording. This is what it is. You also want to have your ChatGPT or Claude account set up installed on your computer and good to go.

So as I said, I'm going to use the ChatGPT or Codex app here. So we're Codex selected. I do have computer use enabled for this.

This gives the AI the ability to navigate through, click around on my screen if it needs it. But in order for us to communicate with OBS, I don't want to rely on that computer use piece. I really want to push it and see what's possible using an MCP.

So a connector between the AI and the app. So I'm doing a bunch of research online and obviously bouncing this around with AI as well. This one seems to be the leading one at the moment in terms of what we can actually do.

This is obviously free to download from GitHub. I will have a link in the description for this, but I'm just going to grab this link here. I'm going to come back to our AI.

I'm going to ask it to install this MCP connector for us. Now, before I hit go on this, we could be using Astra, but for this, I'm going to use a 6 .1 Sol and I'm going to leave it on high. So we're not using the latest and greatest models, but we are using something that is very decent.

So I'm going to hit go on this and I'll just make this a bit bigger as this is going, but it's going through. First I was checking is OBS installed and it's going to install the server here locally. Now we're prompted.

Do we want to allow ChatGPT to use OBS studio? Yes. Let's allow it for this conversation.

And I can see that it's actually using OBS here. Maybe I'll move it across so we can see both on screen at once. Okay, so it's brought up this connection setting piece here of OBS that we do need to enable manually because it's involving passwords and things.

It's something that I haven't given my AI permission to manage that piece. But it's telling me what to do here. Enable WebSocket server.

So we can enable that here. It also says to configure an OBS password privately. So I just hit generate password.

Now we can view the passwords and stuff in here, but we can just hit okay to apply that. And then it says we need to restart Codex after this is done. So I'll do that now.

And it says it is connected successfully. Okay, so I'm gonna move some things around here. Let's make OBS a bit bigger.

Okay, something like this. So first off, we can look at what can we actually do in here? So let's ask it.

Now that this is connected, what are the types of things that we can do in here? Okay, so there's 148 tools covering things like building scenes, arranging sources, controlling your audio, filters, effects, controlling the recording. So we can really build out something pretty powerful here.

But let's get this set up. That's the key piece of this video. If we don't want to go through all the settings, we don't understand it.

We don't want to spend the time building out our scenes. Let's give it some guidance on what we want here. Okay, I'd like you to help me set up this brand new OBS install for live streaming on YouTube with backup recording locally of that recording.

Primarily it's tutorials. So there's going to be a scene for talking head. So just the main camera full screen.

We obviously want one then for a full screen screen share. And we'll probably also want one where it's a full screen screen share with my camera on screen as well, picture in picture. But we want to make sure that everything is set up from the different scenes to microphones and audio through to all the right bit rates and settings and things through for YouTube.

And I also want to make sure that this is optimized for best performance for this specific computer. Okay, so we've told it exactly what we want. Let's run this and let's see what happens.

I actually didn't give it anything around the resolution, the frame rate or anything like that. So let's see what it does here. Which camera and microphone should OBS use and which display do you usually share from?

Device names or a brief description. Okay, all right, let's use the Rode NTG microphone. as the primary microphone and primary audio source.

Let's use the Insta360 Link webcam. And let's use my MacBook built -in screen as the primary screen share device. What's your upload speed on the connection you'll stream from?

And will you use ethernet or wifi? So, I mean, I could give it an answer here, but at the same time. it could likely go and figure this out for itself.

I will be using ethernet and why don't you run a speed test and see what's going to be the best settings here. Okay, so I was analyzing the computer. This is an M5 Max MacBook Pro, definitely overkill, 128 gig of RAM.

It's got the Rode microphone, Insta360 Link webcam, built -in display. It's running an upload test. So I love this piece because it means that if you are more beginner, you don't need to have all this stuff figured out.

You don't have to go through the trial and error of testing everything. You can just have it set things up for you. and i can see now it's opening stuff up on obs is going into the settings and it's starting to configure this for us okay speed test results came back we've got lots of upload speed so it's targeting 1440p stream 30 frames per second it's going to use apple's hardware encoder and it's going to enable automatic local recording awesome Now, where I think this is powerful too is the fault finding, the troubleshooting.

After you've got it set up, if something goes wrong or you're not sure where to look for things, then you can just come back in and ask your AI and it can either take over your computer here and sort it out itself or figure out what's going on for you. Or I can use the MCP and fix these settings and things behind the scenes.

Okay, so I can see we've got three scenes up here. It's made one for camera, one for the screen share plus camera. It's now turned on my other camera over here.

Okay, we got an error. OBS quit unexpectedly. All right, let's reopen this.

OBS did not shut down properly. Let's run it in normal mode. Okay, let's see if it can pick this back up.

OBS closed unexpectedly while I queried the display capture options. I'll reopen it. Okay, I probably didn't even need to do that myself.

Let's move it back up here. So we can see now it's got the audio source, my microphone down here, which is cool. It's still building things out.

It's setting the scene item transform. So, okay, let's go screen. Okay, there's my computer screen.

So we can see on that screen, I am recording in Descript. Let's come back up here. Okay, so it's messing around with this input here at the moment.

It's even brought in the MacBook audio. So I can see there's a volume area for that down the bottom too. It's now over in the settings.

It's setting where it's going to save the recordings. It's changing the file type, the bit rate. Interesting that it shows an MKV file.

Okay, on the ChatGPT side, it says the three scenes and device. selections are in place i'm setting the stream to 21 megabits with a local backup that reuses the streams video encoder to reduce processing load okay so it's not going to reprocess things twice the recording will also have separate microphone and computer audio tracks for editing awesome So I still don't love what's going on in the scene here, but let's see.

Okay, so it's readjusting it now. This is cool. This is so cool to see how this is building up.

Now it'd be interesting too, because that laptop screen is not true widescreen. So we can see right now we've got the black bars on either side of it here. So I wonder if it's going to automatically scale this up to make it look good, or if that's another prompt that we need to give it.

But we can also then look at what kind of graphics and things could we bring in and get AI to make, to make this look like a next level. production. Okay, for the final microphone and lip sync check, can you do a short local test recording?

Reply ready, and when you speak for about 15 seconds, clap once in view of the webcam, and I'll tell you when the recording starts. Okay, ready. So this is going to make sure that our webcam, this one, is synced up with our microphone.

And this is great if you've got a different setup where there is going to be audio delay. Normally that's if you're using a pro -level camera coming in through HDMI. So this is awesome.

I haven't prompted it to do this, but let's see how this goes. Okay, I am speaking normally now. This is my normal volume.

There is a clap for sync. Let's see how we go. Maybe I need to speak more.

One, two, one, two. Okay, so today for breakfast, I had a bulletproof coffee. I'm looking out at the beach now.

It's not a very nice day outside. It's just going to automatically stop recording itself. It's switching through the scenes now.

So if I'm over on this scene where we see Descript recording. Okay, so stop recording. Let's see what it does.

Okay, test recording completed with all three scenes. OBS held 30 frames per second, roughly 2 % CPU usage. No skipped encoding frames.

I'm checking the recorded audio and confirming the bit rate, so the quality of it. The saved encoder settings still need verification. Awesome.

So this is all the stuff that even knowing these settings and things, I would go through and set things up, but I wouldn't go to this level of checking the sync and making sure everything's all good at that level. Especially if you want to do it down the track, like you'd be able to come back in here at any time and say, let's just make sure everything's all good.

And it can go through and check everything for you. So it's actually just increased our audio quality. Okay.

It's doing another recording. Please speak normally for 10 seconds, then clap once with both hands visible.

Okay. Let's see if I did that. I was still reading the other piece, but the final settings are saved.

OBS successfully created a 1440p backup plus an MP4 copy at about 21 megabits. The first test captured speech, but no clear visible clap. So the lip sync remains unverified.

I'll take one short check next, then leave OBS at the YouTube account connection step. Okay, here we go. The clap check showed the microphone arriving, so the sound from it, 160 milliseconds ahead of the webcam.

Okay, so it wants to do a final sync check. Please clap once with both hands visible, then say a short sentence.

This is a very short sentence. It's cool that you can see down the bottom here that it is actually recording. It's like, okay, something I need to do here.

And now it's stopped. And so this even makes me think of what else could you automate when you are live? So there's already tools out there that if someone donates or someone does something, joins your course, joins your program, you could have things show up on screen where you could literally have it when an email arrives or some other sort of notification.

Let's do something on screen, change something in your scene here. I know that at one point years ago, I had it set up so my Philips Hue lights would flash when someone donated. These are all the kinds of things that now you don't need to go and have a lot of these.

external tools and things to run and do this for you you can build all of the automations in your own ai okay it's getting very precise here it's saying that the delay was a little bit different this time recording is running please clap once with your hands and reply done So like I said, I wouldn't have gone to this level of detail of dialing everything in, never.

I'd just be like, yeah, that looks close enough. That's good enough for a live stream, or it looks close enough that people aren't gonna be pissed off watching it if the audio is out of sync, but we can actually dial things in now to a high level of accuracy very easily without really needing to know what you're doing in here to find those settings and work out how much delay to add.

I love this. Okay, so now it's saying, are you also recording the Insta360 webcam in Descript or another app for this demo? Webcam timing is very between.

Okay, so it knows I'm already doing a screen recording here on another tool and recording a different webcam. Yes, the demo app is also using the webcam. Okay, maybe I'll just let it know here.

Yes, I am actually recording this entire process as a video as well. So maybe that's messing with the timing. I am using a different webcam, but let's leave the audio as close as it can be for now and let's continue.

So clearly there's some sort of bug or issue with the setup that I'm recording here using Descript. It's previewing webcams and stuff. So it's throwing it off a little bit.

So the setup is ready for your YouTube account connection. It's final sync check can wait until the demo recording is finished. cool okay so it's now prompting me obs is open to settings stream with youtube is selected press connect so stepping through the process here to connect the youtube channel this is needed yeah obviously to get our youtube channel credentials so i'm going to choose here connect account and then pick my accounts and log in okay authorization complete you can now close this page wow it's actually going through now and setting up a test stream so with the channel i linked it up to which is a demo test channel that we have it's named it obs setup test it's given a description it's set the privacy to unlisted it's adjusting the latency settings as well now i will stop it before it actually does a live stream maybe we'll tell it now okay i'm more focused on actually getting this set up than doing a test live stream for this video let's pause the youtube setup and let's go back to making sure our scenes and everything is set up correctly

And we can hit steer here just to interrupt it and override it with this updated prompt. Okay, so it's gonna close the unsubmitted broadcast draft. So that live stream setup is returning to the scenes.

It's gonna check the layout visually, confirm camera screen sources are reused correctly and verify the microphone and computer audio are routing correctly, which again, we can see the audio bars down the bottom, microphone audio is coming through. Now, while this has gone through those scenes, I'm not loving that. screen share not being full screen but again we can ask it to fix that Here we go, didn't even need to.

The MacBook display is taller than the 16 by nine video canvas. How should the screen share handle that? Keep the whole display with narrow sidebars, these black bars, or fill it by cropping the top and bottom.

Let's actually just crop the bottom. Let's fill the canvas by only cropping the bottom. Let's leave the top visible.

And then it says for the camera overlay, is the current rectangular box at the bottom right good? Yeah, that's probably fine, bottom right. it at that maybe we'll give it some extra guidance on this at this point i was going to wait till it was done but we can give it guidance now so we've got that rectangle box here but clearly there's gaps on the side here of me so we could see if it'll be able to crop that in actually with the camera overlay down the bottom right can we crop the sides off because as you'll see if you look at the shot there's a heap of blank area on either side of me that's not necessary I'll crop the sides of the camera overlay into a tighter square to keep it at the bottom right.

I'll also fill the screen share scenes by cropping only the bottom, preserving the top of the MacBook display. Awesome. Now, just while this is going through, we do have a free downloadable PDF guide to help you with your live streaming.

There is a link on screen and below in the description as well. This will step you through the setup process, but also for the planning and prep of your actual live stream itself, helping you stay on track, helping you start with a compelling hook to keep people engaged. All of that stuff is in there, totally free, link on screen and below in the description.

okay that's done the screen share now fits and all right still switching still checking also the picture in picture piece down the bottom right was cropped properly now too this is weird i got two cameras don't know where to look this one okay so it's now checking the audio so let's just hit play on one of our videos here test a lot of these different ai tools and functionalities this is by far one of the coolest things that i have seen okay So this is checking the audio coming through from the screen share.

That's pretty cool that it's measuring all of that. Yeah, so we can see that picture in picture down the bottom here now. It's looking much better.

Okay, so the local recording captured computer audio successfully, including the camera only scene. It's adjusted the volume levels. Look at this.

So we can see that the main microphone down here is set to zero, but it lowered the computer audio from that little test. This is pretty cool. Okay, so we're done.

The cameras are all set up. The screen fills the... canvas cropped only at the bottom.

The screen plus camera scene has a tighter square camera overlaid the bottom right. The microphone is configured, it works across all the scenes. Separate audio tracks, duplicate audio routing is disabled.

Our local backup recording here is set to 1440p, 30 frames per second using Apple hardware encoding, which is the best for this specific setup. The YouTube setup is paused. So we can continue that piece and we're ready to go live.

And the microphone delay remains provisional as we agreed because I'm doing that screen recording here. So this is awesome. So let's just take a look.

If we go through the scenes that this made, we have obviously this YouTube chat window here. We can close this. We have our main camera scene here.

So we'd be live or presenting, creating content. We could switch to a screen share, which we can see has been now cropped to fit perfectly on this canvas or inside of OBS. And then if we want to bring up my camera.

then we can do that here as well. So this has been totally hands -off and I would normally see this as a way of, let's just check or verify all our settings or be totally hands -off, go make a coffee and have it all set up for you. And this is also then when you could prompt this to save these settings, save this whole profile so you don't actually need to do this again.

If you wanna spin up a different profile for maybe a different show that you're doing or one for recording, one for live streaming. Now that we've done the grunt work and it knows your computer, the settings and things, we save those. so we never have to do them again.

We get the next one much faster. But obviously with AI controlling this, it does mean that we can push this even further with the capabilities of AI. So let's just give it something a little bit more complicated now and something that would be useful here.

Okay, this is looking really good. Why don't we make one more scene? So call that scene four, which has the screen, which also has the camera as well.

But if we made the screen smaller, let's crop off the top Mac menu bar from that so that we're not seeing that. And let's make it a little bit smaller on screen so that we're able to see some background behind. So we'll need to generate a background and a cool looking scene.

that matches the Primal Video branding. So go to the website, primalvideo .com, look at the branding, look at the fonts, the types of colors and things that we use, and let's create a really cool looking scene as an addition that is matching that branding. And so the goal here is to create something that is really high quality, really polished, really pro looking for this live stream.

Okay, so it's off inspecting Primal Video's current branding. Okay, so it's off. opening the website here.

Maybe I'll make this bigger. Now, obviously, if you've already got your own brand guides and all of that stuff, awesome. You can point it directly to that.

I was just trying to be a couple of steps back with this because I imagine that some people wouldn't have that stuff yet. Okay, so it's gone through. It's found the fonts, the colors.

Yeah, this is pretty cool. Okay, so that's still going now, but we have a scene for Primal Video Studio. It's generated an image here for the background.

Let's see what it's building out here. Wow, okay, cool. This is a big...

Snap. And this is already looking so much better. And again, I gave it very little guidance.

It's trimmed the top off the screen share here that I wanted. There's gone and generated all of this stuff. So we've got the Primal Video logo in there.

There's got our video tech tools and AI. So like our tagline is in here in our fonts. There's little borders around things.

It generated all of these little individual pieces here that it pulled into the scene. So we've got Primal Video logo. Again, we can customize this up.

back with more feedback. We can apply this to our other scenes, but like this looks pretty cool. There's even a little border around the camera here.

Likewise with this one, it just makes it look so much more polished than this super basic. But right now at this point, we've got our scene set up for main camera. We could jump to screen share.

Again, all of this is live bringing in our screens and stuff. We can bring up my picture in picture, but like just chalk and cheese between scene three and scene four here in terms of what this looks like. So we could keep going with this.

What else could it build out? Can it create some animated titles and things that we can use and reuse in all of our future live streams and productions? Can we go create more scenes and things just to create?

the ultimate setup here without us needing to go and build it all ourselves. But I will just run one last prompt here and let's see what did this cost? How much token usage was this on chat GPT 6 .1 sole high?

All right, so let's go something like excluding the initial MCP setup, what was the token usage and rough approximate cost for the setup and for these graphics and everything to be generated? And let's see what this says. Okay, that's done.

That took four minutes just to process how many tokens. That was like one of the longest prompts that we've run here today. Excluding the initial MCP setup with this cost check, the recorded usage.

40 million tokens with an estimate of seven dollars and eight cents for this work today and it broke it down to around five dollars of token usage for like setting up the scenes audio all of that stuff the scene four so where we had the extra graphics and things that was around a dollar 69 so total around seven dollars now obviously the way that this works is if you've already got those tokens and credits and stuff included in your plan then you're already paying for that.

Like this wasn't an extra $7 charge for me. It's included in the token usage and stuff that I have allocated to my plan. But for $7 to have this totally set up and good to go now, and as a good starting point for any future changes and things that I wanna make, like this is a solid setup.

And it's also the case where we could have started this, walked away, went and got a coffee, come back, and it's going to be set up for us or just answer those few questions up front or at the very end to give it further guidance. So again, I think this is a great option if you're an absolute beginner, doesn't want to dive in and set everything up, doesn't want to learn and understand all the key settings that they need to have success with this, that the AI can handle all of that for your unique setup, your unique gear to get the best out of it.

But also to... go and create something amazing from this too. And something where we didn't need to go and buy a bunch of templates and customize things up.

It's all managed there and it's still got that context so we can build and evolve it over time. But I also see the use case here for people that are up to speed with OBS, want to fault find, want to double check their settings, make sure that everything is all good, but also allow you to be hands off and get it to build new scenes and things while you're off surfing or getting coffee or whatever.

But I'm keen to hear from you guys. Let me know in the comments, is this something that you would use? Is this something you're as pumped and as excited on as I am?

Also, don't forget, if you're going to be using OBS for live streaming, we do have our free downloadable PDF guide. linked in the description box. There's probably also a link on screen.

This is a checklist that you can download, you can print out, you can follow along before you go live, knowing that you've got everything set up, but also the live streaming content and everything is set up and good to go to keep you on track. So don't forget to grab your free copy and I will see you in the next video. Cheers.

The Hook

The bait, then the rug-pull.

Justin Brown hands OBS to an AI agent and tries to stay out of the way. The result is three working scenes, tuned encoder settings, a sync-checked microphone and a branded fourth scene.

Frameworks