§ 01 · The Hook
The bait, then the rug-pull.
Jack opens with a maximalist promise — agentic systems unlock things 99% of people don''t know exist — then immediately stacks a second promise: a visual intelligence dashboard for every AI tool you use, that improves itself overnight. Whether he delivers on that promise is the whole video.
What the video promised.
stated at 00:00“I''ll show exactly how to build a visual intelligence system for Claude. This shows you every insight for skills, memory, cost, and how much money it''s making you and your clients.”not delivered
Where the time goes.
00:00 – 00:13
01 · Cold open + promise
''99% don''t know this exists'' hook + promise of a visual intelligence system for Claude.
00:13 – 00:47
02 · Self-intro + bait
Brag stack: sold last startup, building AI businesses, ''grab that beautiful coffee.''
00:47 – 02:10
03 · What ''Claude OS'' means
Definition: one visual place that connects every model, memory store, skill, and integration instead of separate pockets.
02:10 – 03:20
04 · The questions you can''t answer today
What did I spend? What can I save? Am I on the right tier? What skills are worth my time? Outdated memory? Opportunity gaps?
03:20 – 04:00
05 · Why personal — every builder is unique
Your intelligence should be configured to YOUR stack. Useful for client onboarding + ROI proof.
04:00 – 05:32
06 · The Six Pillars framework
Models / plans / memory / skills / knowledge / connections — turned into six pain-named cards.
05:32 – 08:00
07 · Dashboard tour: spend + ROI + plan limits
$174 spent, $241,600 saved, $241,426 net ROI. Subscription tiles, current limits per model.
08:00 – 10:00
08 · Dreaming feature reveal
Overnight pass over every conversation surfaces 4 recommendations: stale memory, Opus-for-Haiku-work, duplicate research, etc.
10:00 – 11:00
09 · Knowledge system view
Toggle individual stores (Obsidian / Pinecone / local / Supabase), visual graph of memory relations, recent-vector activity.
11:00 – 12:50
10 · Onboarding wizard
Detects models on your machine, asks where data + memories live, then your hourly rate so ROI math works.
12:50 – 15:00
11 · 8 Dimensions of Dream Intelligence
Conversation analysis, cost, skill performance, memory health, session hygiene, workflow patterns, external opportunity, business outcomes.
15:00 – 18:00
12 · Hermes-Agent + dashboard wrap
Plugs Hermes/OpenClaude agents into the same OS roof. Shows schedule, sessions/day, top skills.
18:00 – 20:30
13 · Anthropic Dreaming positioning
''Anthropic just shipped Dreaming research preview — we don''t wait, we build.'' Re-frames product as cross-model, not Claude-only.
20:30 – 23:00
14 · Visualization layer thesis + soft CTA
Big-picture: visualization is the next trend in AI. ''How do I SEE the thing?'' Pitches skills video next.
23:00 – 24:45
15 · Wrap
Closes with a redirect to his next video on building powerful skills.
Visual structure at a glance.
Named ideas worth stealing.
04:00list
The Six Pillars of a Personal AI OS
- Models
- Plans
- Memory
- Skills
- Knowledge
- Connections
The six dimensions that define your personal AI stack — Jack uses these as the spine of the entire dashboard and as the framing for six pain-cards: Stop overpaying for Opus / Always know what''s left / Catch stale memory / Kill skills that earn nothing / Retrieval that doesn''t embarrass / Reclaim dead integrations.
Steal forany ''own your stack'' positioning — turn abstract product into six concrete pains, one card each
15:00list
8 Dimensions of Dream Intelligence
- Conversation analysis
- Cost intelligence
- Skill performance
- Memory health
- Session hygiene
- Workflow patterns
- External opportunity
- Business outcomes
The eight dimensions Dream reads overnight to surface high-leverage recommendations. Inspired by Anthropic''s Dreaming research preview but cross-model and self-hosted.
Steal forany ''AI works while you sleep'' product mechanic — give it dimensions, give it a frequency, give it a ritual
09:00concept
ROI Calculator (time-saved × hourly rate)
Onboarding asks for hourly rate, then each skill''s last-used + estimated time saved gets multiplied into a net-ROI number on the dashboard.
Steal forthe JoeFlow ''we saved you X hours this week'' panel — it''s the same math, and it''s exactly what creators want to see
Lines you could clip.
00:05
“Claude Code agentic systems are the future and unlock capabilities that 99% of people don''t even know exist.”
01:15
“We connect your world visually in one single location instead of having separate disconnected pockets of intelligence.”
03:40
“Every builder is slightly different, therefore our intelligence should be slightly different.”
09:00
“Whether you touch it with your hands like this, whether you''re on the beach sipping margaritas — this finds improvements for you automatically.”
18:30
“We don''t wait for anything. We don''t wait for Anthropic to release anything. We just go ahead and start building it.”
22:20
“As these models get better at creating things, the question becomes: how do I see the thing? What does it physically look like?”
How they spent the runtime.
Hook length13s
Info densitymedium
Filler18%
Things they pointed at.
02:20conceptKarpathy RAG
09:25productHermes Agent
11:40toolOpenClaude
11:40toolOpenRouter
11:40toolCodex / Anti-gravity / Cursor
How they asked for the click.
04:40product
“If you do want this full course I''m releasing it inside my community — this v1 alongside the full Claude Code Masterclass.”
Soft mid-video CTA + closing redirect to next skills video. The actual code is paywalled behind his Skool community — link in description (bit.ly/4tyq4Uz). Pitch is woven into the value rather than blocking it, but the full build is not free.
Word for word.
HOOKopening / re-engagementCTAthe pitchmetaphoranalogy
00:00HOOKClaude Code AgenTic systems are the future and unlock capabilities that 99% of people don't even know exist. And in this video, I'll show exactly how to build a visual intelligence system for Claude. This shows you every insight for skills, memory, cost, and how much money it's making you and your clients. And this intelligence system even uses data to improve itself and help you save more time and make more money, literally getting you light years ahead of your competitors. And if you're new, my name's Jack. I built and saw my last tech starter with a gazillion customers. Now I'm building my own AI businesses and I just show you the stuff that actually works. So if you haven't already, grab that beautiful coffee. Let's dive straight up. So this is the ClaudeCode operating system. I'm gonna tell you exactly why you need to have one and how you build one that looks something a little bit like this and how it all functions together. Because basically, it carries all the information data that you didn't even know that you physically needed. And I'm gonna go through exactly what all this is, how this all connects together, and why it's so important. So let's think about this for a second. The Claude code operating system. What does it work and what do I mean when I say Claude code operating system? So the general idea of the OS, the operating system, is that we connect your world visually in one single location instead of having separate
01:14disconnected pockets of intelligence that are not basically thriving together and bringing one unique overview. What we do is bring that all together. So we have all the models that you're using, everything you're connected to, all of your individual memory systems, local, Obsidian Rag, You know, you think of it, Kapathi rag, pine cone, all this stuff. All your skills, your usage, all this intelligence together in one simple place that gives you and unlocks things that you couldn't really unlock outside of that. So it's one place for everything to flow together across everything from Claw, Chakrity, Codex, Gemini, DeepSeek. It doesn't matter what you're in. This brings everything together and actually is the future of how we use models. So you can't see your own AI operating system. So there's a lot of stuff that you guess at. Right? Like, what did I spend this month in tokens? Where can I save? How much money am I making with this stuff? What does it look like? When will I run out? What skills are worth my time?
02:07Is the model using outdated information and memory? What is connected? Am I on the right tier? What are the opportunity gaps based on the conversations you're having with models? So what's really cool about the self improving memory system is that like, if you're talking about stuff with an AI and you don't have a skill, this will actually recommend to you specifics that you should be doing based on your conversations. It's like a meta skill, and it's kinda linked to Claude's dreaming feature that they're gonna be releasing. I'm gonna show you how I think this takes a a cool step further using those kinds of principles.
02:37And what will this unlock? Because it's like intelligence about how you're using everything with AI, which is really freaking cool. And the reason for this is that every builder, myself, you, we all build slightly differently. Right? And therefore, our intelligence should be slightly different. What will be great for Jack might be different than what's great for you and your friend. So realistically, we need to get a good view of how you're using the models, what models you're using, where is your data, what's your intelligence. And based on your own unique situation,
03:01we can find specific recommendations to help you take it to the next level. And what's really cool about this whole system by the way is when you onboard clients, you can get this specifically for them. And you can see ROI,
03:13how much time they're saving based on their skills. Right? The skills that they're using in their system, all that beautiful information when we understand how much that time is worth. So it's really, really cool to to build this up for clients too. So when we think about this, realistically, are six pillars that make the operating system in my estimation. And effectively what they are is the models that you're using,
03:32the plans that you're on. So for example, I use ChatGPT, but am I doing that with an API or am I just paying $20 a month? We've got memory. So how we store memory? Have we got it locally? Are we storing it in Obsidian? Are we storing it in Pinecam? The skills that you're using on a day to day basis, your knowledge systems, and again, how we connect it all together. So the idea here with these pillars is we wanna stop overpaying. So how are you being more efficient? What's really cool here is we'll understand what models you're using for tasks and say, hey, and give you dynamic recommendations to say, look, you should move to this model, should move to that model. You're gonna know what's always left. You're gonna be able to find outdated memories that aren't servicing you anymore, that you're not referencing.
04:12CTAYou can kill the schools that aren't doing anything for you. And basically, just like really improve and level up everything together. And you're always gonna know what's actually left. So it really helps you understand and manage your token limit so that you're not running out all the time. Right? It's like no nasty surprises. You can see this in one cool holistic dashboard. And by the way, if you do want this full course, I'm releasing it inside my community, this v one alongside the full core code. Masterclass, it covers everything from power features down to memory system, apps, build everything, design systems. So I'll put a link down below if you wanna go and grab the the v one, but you'll also understand how to actually build and what kind of goes in the information for this. So effectively, what we wanna do is capture how much money you're actually spending on AI on a monthly basis. And what we can do is on the skills,
04:54CTAokay, is understand the skills that you have and it knows this because it knows where the skills live on your laptop and I'll show what that looks like in a second. What it can actually do is figure out how much you're actually saving in your time and money based on those skills and what they actually drive for you. But I'll I'll show more on that in a second. You've got your net ROI, which is how much this is making you minus your cost for things. We can see the subscriptions that we've got like a CallPro Max, ChatGPT,
05:19CTAOpenRooters, and you can even see step by step your current limits for all of the models that you're currently using. Clawd, ChatGPT, OpenRooter, etcetera. Now what's really freaking cool and my favorite thing about this that I built on this is the dreaming feature. So you have access to so much data on your computer. Right? Like your usage, conversations you're having with AI, but no one's really looking macro level at like all of your thousand chats and all of your usage and saying, well, what can we learn from this? Like, how can we actually be better? And what this does every single day, whether you touch it with your hands like this, whether you're on the beach, ,
05:54this finds improvements for you automatically. And this refreshes every single day. And it also gives you a suggested ROI calculator on that in terms of how much time you'll save. So for example, you may say here, hey, your video scripts memory is two and a half weeks behind your work. Right? Cool. Okay. That's an interesting one. I can mark that as done. Awesome. Or I can go to the next one. You're paying Opus prices for jobs that Haiku can do. Interesting. And then why you're suggesting this, a little bit of information, and then specifically, how to action them. It'll show you stuff like you did the same competitive research four times this week. Interesting. So I'm duplicating work.
06:25Title and intro, all joined together make it well, see, you get the idea. It's basically showing you dynamic things every single day based on how you're using AI on your computer and whether I'm using it in cloud or the terminal. This brings it all together, which is really freaking cool. Then we've got all of our skills that we can check out and use. And we have our knowledge system which is cool. And this knowledge system is freaking epic. I've had it say so myself because what you can really do here, you I can see everything that I'm connected to. And if I open up my knowledge system real quick, you'll see when I come down here, I can actually disable certain features. If I just wanna look at Obsidian, for example, I can see the stuff that I've got in here that I'm like playing around with. I can bring up my local memory system, and then obviously just bring in Pinecone to get a full overview of what this looks like. And if I wanna take a different view to understand what's happening, I can see. And I get my Pinecone memory system. Basically, it's like a visual overview. I'll have every memory that I'm using, local Pinecone and Superbase is connected in in one really nice crisp view and how they're all related to each other. And we also add in here as well, by the way, is like recent activity. So if I vectorize information, if I like which just fancy way of saying store new stuff, I actually get a breakdown here of what's happening with everything that I'm doing, which is great. So it's just good to get nice little bits of overview on that. So you're probably thinking, Jack, that looks really freaking cool. How do I actually
07:39set this up and use it on my computer? Well, let me show you exactly how that works. Now, obviously, if you're in the group, can just let you come and grab this from the classroom if you like, so you can rock and roll. But what I've included in this is a onboarding wizard, and this will really explain to you how you set this thing on. So we look at ClawdOS. I'm gonna go ahead and stop the whole thing. So effectively,
07:57HOOKwhat well, what this one does that I built is it also detects all of the different models and systems running on your computer. So if it finds OpenCLR, ClawdCo, Clawd Desktop, OpenRooter, whatever it is, it will automatically show you these and you can toggle them on and off. So can pretty pick the ones that you have, which is freaking fantastic. So first thing you need to do is basically help it understand where do the models live on your computer and what are you actually using right now. So that's kind of the first part to understand like what is the model architecture
08:25HOOKlike in your world. And it should be able to do this, but you definitely wanna prompt it this way. Obviously, this onboarding wasn't just for you, but you get the idea. This one's really cool. Where do we store that data? Well, this freaking knows because it actually has access to it. So the next question is, of the things I use, where's all of the stuff living, basically,
08:42HOOKwhich is crazy. Once you've got that, where do you keep your memories? So this one knows it can basically it's detected that I've got my Obsidian Vault and my Pinecone index because it's pretty smart and knows what's going on. But you can add custom folders. Basically, the the fourth step is memory, which is where does your world live? Like, is it in Obsidian? Is it in Pinecone? Is it in a different is it SQL? Is it in Superbase? Where is it? So we can actually grab those memories and start to add context. Once we've done that, this one's really cool for me. I think it's really important. We can't know the ROI
09:10unless we have an idea of what your time is worth or the employee whose job you are enhancing is worth. You So can literally write down how much your time is worth like this, and you can see actually it'll tell you based on the skills you've used in the past x number of days or once you create it, how much skills you've used, what your actual time saving actually is. When that's done, we bring down to the the dreaming system. So again, what this actually looks like is eight different eight different kind of services, which I had to look at. So the eight dimensions of dream intelligence is what you sleep, dreams read your stack, and services, what's worth your attention. So the idea is AI should work for us, like, even when we're not thinking about it. So it is conversation analysis. So read your last seven days of user messages, embed some clusters by intent, flags
09:51any tasks you've done manually three more times so it can it can suggest turning it into a skill. And this is something that I picked up with Hermes. Do you remember the Hermes agent was really cool. Right? Because it basically had this amazing skill of if if it identified that you something should be a skill, it would turn it into a skill. So I just built it into this operating system. And and this, by way, is by no means perfect. I just kinda sat down with coffees and I went crazy, to be honest with you. Because I I love building stuff like this. But that's the whole point. Like, it should
10:20kind of have this macro level overview of what you're doing and how you can improve it. We got cost intelligence. So inspecting every model call looks for high opus usage on simple work, low cache hit rates, oversight contacts, recommends where you can be saving when based on what you're doing. Then we've skill performance that tracks each skill's last use date, like if you've got antiquated skills you're not using is an opportunity to improve that. Memory health,
10:42session hygiene, like when it's gonna be on tokens, workflow patterns, external opportunities. So it's looking actively for new skills or new updates that might fit your world really well. Like, you know, if you're building good design systems, for example, this is a free resource that I that might be useful for you. And basically, all this does, if I just pull this up right now, you can see, just basically codifies what brilliant design looks like. So if there are other design repos, I would love to know about them. So it's good for me if I'm doing a lot of design work with Claude or Chattypical Codex. So it can actually surface those things to me and tell me what I need. And also it looks at business outcomes and tries to understand context and what you're focusing in on. Then we've got basically, you just set the frequency. So once you've kind of designed your own dreaming system, which is like, how do I want it to think? What kind of recommendations do I want it to give me? You codify that sort of stuff. Then you have the morning and evening, so how frequently when do want it to run?
11:33Websites during dream is good because I like to personally enrich with new things. So this is, look, Jackie, you're spending quite a lot of time on this particular problem. Let me go and get some data for you. Let me go and find out what the experts are saying about this thing. I I personally want to know that information. And then there's this design thing, is creating cool ass images every time. Of course, we want that. Of course. I mean, that there's there's not gonna add any value, but I just think the experience is important. So it's really cool. And again, you can actually add in your OpenAI key here and there, so it can actually do the generation for you as and when you need to. Then pretty much after that, you're all set. So this one here, if you're using this wizard, you basically just copy this and throw it in, but it's actually linked up anyway. So it will do that for you. And then, essentially, once that's done, you go through and then you have the dashboard ready to basically look at everything live for you. And in addition to your subscriptions, you got your token slash API equivalent, which is if you had used this with API,
12:23this is what you would actually physically be paying. And then what I thought was really interesting as well on this outside of the memory system is getting an overview of the systems I'm plugged into, my connected knowledge system. So, like, actually, what's everything I've got, like, what is powering this dashboard right now? And if there's something that shouldn't be there, we can just add that in basically. Or my schedule tasks, which are awesome. It even gives me an overview of my sessions per day, like, much I'm actually using it, and then skills that I'm using most likely at the bottom. And then on the settings, you can go through the wizard. And then because we've now got this rise of personal AI agents, what I've also done to simplify this is you can add in your Hema's agent or your OpenClaw system
12:59actually within this called operating system so everything actually lives within within one roof essentially. Just making it, like, way easier to use. And so Anthropic did ship Dreaming, but basically, it's research preview. So it's available now in research preview. Developers can request access from the core platform. But guys, we don't wait for anything. We go ahead and we don't wait for Anthropic to release anything. We just go ahead and start building it. When it does release, it's cloud only for managed agents, overnight memory pass, and it kinda sees everything. So I think it's a fantastic idea they've got. And why not just use it not just for Claude, but like everything you're doing on every app? Like, shouldn't matter whether you're using codecs or anti gravity or clawed over terminal. It's all needs to be connected into one and tell memory system intelligence. Right? So we've got eight buckets, four cards, one night. And again, our dream engine, our our kinda dream OS
13:47that we've got building here takes conversations, cost skills, memory sessions, workflow, external information, and business contacts into our beautiful dream machine to give you four high leverage recommendations just like that. It's that freaking simple. As you can see, it's got all the different bits that you can down use. And, obviously, if you're building your own, feel free to imagine anything you like, but I just personally think these AI are really sick. And this just connect to the biggest trend that we're going to see, and you have to get your head around, which is gonna be the visualization layer of AI. As these models get better at creating things, the question becomes, how do I see the thing? What does it physically look like? So these are GenTic operating system, these dashboards are only gonna be more important,
14:25HOOKCTAespecially if you need to help clients or yourself understand what is the value of what we're doing. And because we're encroached so many subscriptions and so many apps these days, we wanna centralize that and bring that into one place. It's really important. Knowing how to build the incredible operating systems is one thing, but building these super powerful skills is something completely else. And we can learn that by watching this video.
§ · For Joe
Steal the ''personal AI OS'' frame.
Own-your-stack playbook
Every creator is paying for 5+ AI tools with zero idea what they spend, what overlaps, and what''s stale — there''s a category here, and the $6 Stack version of it is yours to take.
- Pillar your product. Six named pains beats one generic value prop — Jack''s ''Stop overpaying for Opus / Always know what''s left / Catch stale memory / Kill skills that earn nothing / Retrieval that doesn''t embarrass / Reclaim dead integrations'' is a master class in turning abstract software into six concrete buy-buttons.
- Frame it against the incumbent. ''Anthropic just shipped Dreaming — we don''t wait, we build it cross-model'' is exactly Joe''s ''rent vs. own'' positioning. Anthropic and OpenAI will ship narrow versions; the gap is the cross-stack, self-hosted, own-your-data version.
- Make the dashboard the demo. The whole video is a tour of the working product — no slides, no whiteboards. The dashboard IS the marketing.
- Build an ROI tile that lies a little. ''$241,426 net ROI'' is a fantasy number, but it sells. JoeFlow''s ''this week you dictated X minutes, saved $Y vs typing'' tile is the same idea — bake it in.
- Ship the v1 ugly. Jack''s repeated ''I just sat down with coffees and went crazy'' permission-slip-style language IS the brand. Joe''s LFB Line is built for exactly this energy — use it.
- Make ''dreaming''-style overnight passes a feature, not a roadmap item. A nightly cron that emails 3 high-leverage recommendations is a 200-line script — but it''s the single most-clippable feature of the entire product.
- Don''t copy the Skool gate. The opportunity to beat Jack is to ship the actual code free / lifetime — let Anthropic + Jack rent the dashboard, sell yours for $49 once.
§ · For You
What this could mean for you.
If you''re drowning in AI subscriptions
You probably have 4+ AI tools you''re paying for, no idea what you actually use, and no proof to your boss or your spouse that it''s worth it — here''s how to audit yourself this week without buying anything.
- List every AI subscription you''re paying for right now — model APIs, ChatGPT Plus, Claude, Cursor, Midjourney, anything. Cancel anything you haven''t opened in 30 days. That''s your ''dead integrations'' pass.
- For one week, after each AI task ask yourself: ''what did this save me?'' Even rough numbers (15 min, 2 hrs) — write them in your notes app. That''s your ROI dashboard.
- Notice which AI tool you keep going back to for which kind of task. That''s your real stack. The rest is noise.
- If you''re using premium models (Opus, GPT-4) for simple tasks (summarizing, formatting), try the cheap ones (Haiku, GPT-4 mini) for a day — you''ll save money and probably won''t notice a quality drop.
- Don''t wait for an app to do this for you. A notes file beats no audit. The takeaway from this video isn''t ''buy Jack''s thing'' — it''s ''you''re flying blind on your AI spend.''
