Daniel Gilbert
3.4K posts
Daniel Gilbert
@dangilbert
CEO @Brainlabs. Built Brainlabs from 1 to 1,000 people. Posting about going AI-native at mid/large company. Building good judgement and Elite Fitness.
USA Katılım Ekim 2011
167 Takip Edilen112.4K Takipçiler
@damndanielliem @tryramp @sebgoddijn This is outstanding and high value advice. I wrote a similar piece which builds on some of these concepts in particular how to architect infrastructure so that people iterate / refine company wide skills - so that there is a community improvement not solo development.
English
5/ Our end vision: build @tryramp (@sebgoddijn)'s version of "Glass" - a 1-click, seamless, "internal Claude", that turns everyone into vibe builders.
Have all connectors, collaboration features, model pickers, pre-built and available. No env files, configs, hosting skills on repos, etc. Zero friction from new hire to power user.
@tobi also recently built River for @Shopify. It's happening everywhere.
English
2/ Build the systems. Build out non-native MCPs (salesforce, gong).
First locally, then → via cloud MCP. Make it ultra easy to ingest all the context.
English
This is a real challenge. I do think AI adoption has to largely be a top down thing though, so whatever size your org is, if you are the CEO - congrats! You are the one who needs to figure this out.
There are things to know though, that could help you. This is definitely just a view, an incomplete list, and probably some of it is wrong. Choose your own adventure please and do your own research. Tell me where I’m wrong!
My off the cuff list:
- There’s probably at least a few folks at your org who are pilled and rabbit holed and know what they are doing. Find them and then spend a few days with them to ask them to tell you everything they know. Watch them work. Seriously, shadow them and watch how they work with codex or Claude code
- Then you need to do the work yourself. AI lives on command lines right now, it does not live in PowerPoint jargon slides. You have to get your hands dirty. You need to experience what is possible.
- There’s going to be functions and areas and groups in your company that will be highly resistant because of - you need to understand the concerns but ultimately make it clear that lots of old rules don’t apply and need to be changed for operating with these new tools. It won’t be easy and many folks won’t get on the ship with you. This will slow you down if you don’t make the tough decisions. Rip the bandaids off when needed.
- People need time to learn and time to experiment. The *biggest* finding in my consulting is that —- **surprise** - folks have a job to do and that job is not learning AI. It’s on you to ensure people have the space to do it. And telling people that they should ‘learn it’ is entirely insufficient. Put yourself in their shoes. What messaging and structure and incentives do they need so that they truly go try the thing in a meaningful way? Do that, and then reward and highlight the folks that follow through.
- The structure of your org will change. It has to. This is a tool, but it is a tool that wants to mold how a team works together in ways that are totally new. You will only figure out what this means by experimenting with the capabilities yourself
- The way information flows through your organization will change, and it needs to be captured differently. These tools compound with smartly structured information that gets automatically distilled into system-legible files. Someone at your organization already knows what this means. You need to have them help you, or hire someone who can help you with this. Company context distilled into agent legible graphs is going to be the thing that makes this all work for you. When it works, it will feel magical
I could go on. But this is hopefully enough to make you curious. If you’re not curious about this stuff by now - I am sorry - you are not going to make it.
Kevin Simback 🍷@KSimback
If I were CEO of a 100+ person company knowing what’s possible with Claude Code and AI agents, I don’t know how I’d sleep at night I’d want to push AI 24/7 across the company Smaller firm and you could pill everyone 1:1, but at 100+ that’s not easily scalable, u need good help
English
The only way someone feels this way is genuinely misunderstanding the tool.
Daniel Berk 🐝@danielcberk
Notion is my least favorite tool to use by an extremely wide margin.
English
@NotionHQ NICE! We have been working around this very awkwardly ny naming each person taking an action... pleased to be dropping that pronto !
English
Starting today, Notion AI Meeting Notes can determine who is talking in 1:1s and some video conferences!
Zach Tratar@zachtratar
Our #1 user request. You’ve wanted it for a while. I’ve wanted it too. Starting today, Notion AI Meeting Notes can determine who is talking in 1:1s and some video conferences! This is our first step forward and an active area of research, so let me tell you how it works.
English
@dangilbert @NotionHQ This is how I’ve adapted as well.
I’ve seen peers use the Claude artifact route — and perhaps I’m not dug in — but there’s a black box limitation involved there.
Notion acts as the bloodstream to Claude’s heartbeat for me.
Next comes testing this connections limits.
English
It's called @NotionHQ and it already exists. For serious Enterprises. We have meeting notes, company knowledge, skills, feedback, team spaces, client info, agents, and our data warehouse feeds in. It is remarkable technology and it already works.
Y Combinator@ycombinator
Company Brain @t_blom Every company has critical know-how scattered across people's heads, old Slack threads, support tickets, and databases, and AI agents can't operate like that. We think every company in the world is going to need a new primitive: a living map of how the company works that turns its own artifacts into an executable skills file for AI.
English
My team have built a Google workspace MCP for @claudeai including Google sheets & docs. Very helpful! Can share guide/code if people are interested. Is this already common and why have neither @AnthropicAI or @GoogleWorkspace built this?
English
English
@dangilbert @akothari @NotionHQ Notion, in my opinion, is slop for AI. Great for humans, very bad and sloppy for agents.
I think a real company brain needs to have no UI, the real UI is the CLI... Then maybe add some GUI for humans later if they want to check what's going on. Notion ain't it. Not by a long shot
English
Agree re a new external company plugging in. But in a knowledge co with @NotionHQ + Claude stack you can already get 90% there without any enforcement. Notion default for capturing all tasks, meeting notes, company docs, tickets. Claude for executing work and 2 way sync with Notion. CEO tyranny optional.
English
This is going to be a tarpit idea. It’s good in theory, but impossible to pull off unless it’s an internal company effort by a tyrant like CEO.
An external company will never be able to build a software that results in a company brain. It’s mostly because no tool will have perfect adoption from all employees and data will always be fragmented across new systems.
Chaotic systems are very hard to capture. It’s impossible to perfectly extract data from all sources as companies evolve and introduces new data sources.
You will spend all the time keeping track of the data instead of doing actual work. This is same trap that the second brain productivity folks fall for.
Y Combinator@ycombinator
Company Brain @t_blom Every company has critical know-how scattered across people's heads, old Slack threads, support tickets, and databases, and AI agents can't operate like that. We think every company in the world is going to need a new primitive: a living map of how the company works that turns its own artifacts into an executable skills file for AI.
English
@trannkhiet thank you Khiet! But credit to Notion for the tools first and foremost!
English
@dangilbert seeing you walk through this on stage in Miami blew my mind
English
Everyone's talking about AI. Solopreneurs are showing off impressive demos. Consultants are publishing frameworks. But nobody is showing you how to actually make AI useful at a mid to large size company.
I've been rebuilding how Brainlabs works to become AI-Native. We're on it, but it's still a journey! My team and I have spent thousands of hours building this and I'm sharing it with everyone solving for the same challenge.
In the video I will show you a practical application of AI that is actually useful using @NotionHQ and @claudeai.
To enhance people not replace them.
And in the link below there is an article breaking down in detail the architecture and what you need to do if you want to become AI-Native.
brainlabsdigital.com/how-to-build-a…
English
@NotionHQ @Brainlabs honestly the @NotionHQ tech is so freaking amazing, it's like a supercar from the future. We are just pressing a few pedals and trying to drive it fast!!!
English
English
With thanks to the amazing AI leaders I've learned so much from - follow them!
@karpathy
@bcherny
@DarioAmodei
@mattshumer_
@aakashgupta
@tobi
@gregisenberg
@coreyhainesco
@itsolelehmann
@levie
@vasuman
@ivanhzhao
English
Think comments are on but for verified otherwise you get utter spam rather than thoughtful comments like yours. And it is a fair challenge.
Will be dropping a deep dive later that unpacks exactly how we're using agents and it is predominantly focussed on removing / reducing admin work - which is another way of freeing people up to do 'real' work. I personally use this extensively and have never thought that means I don't have a future role. Nor is that how I think of it for my company. Although if you are looking for an ominous subtext (it's not - we have made it very clear) - we do not want to employ people who insist on doing low value work that an admin agent could do. Hope that makes sense
English
Turns off comments and makes what on the face of it, sounds kinda good, right?
The bit that alarms me, isn’t the optimistic and sensible approach to redesign a 1000 person company from the ground up entrenching Ai into the core of processes and work over being just a bolt on… sensible… the alarm 🚨 is this:
1000 person company.
Will it still support 1000 people, or will they, in the redesign be given the chop?
Or will it go the other way and fuel such a rapid expansion that it’ll fire up opportunities to double the work force? Maybe more?
The optimist in me says, I hope so.
The realist in me says, no and they’ll be fewer than 1000 people employed and supported. That’s real people potentially losing their livelihood and financial stability.
Always be wary of when businesses make grand statements but switch off the comments.
Daniel Gilbert@dangilbert
I'm RE-BUILDING my entire 1,000-person company to be AI-native. Not "using AI tools." Not "exploring AI opportunities." Rebuilding from the ground up. Every structure, every task, every operating system gets the same test: does it still make sense when AI can do 80% of it? Most of the time the answer is no. So we change it. Most companies will bolt AI onto their existing structure and call it transformation. But it's just decoration. We're asking a different question: if we designed the company today, knowing what AI can actually do, what would we build? And then building THAT. @ivanhzhao said it best: steel and steam didn't just change factories, they changed entire cities. AI and @NotionHQ is about to do the same to the knowledge economy. Is it hard? Yes. 16-hour days digging deep, learning and using the latest tools so I can tell the difference between what ACTUALLY works and what's just a talking point. Much harder at scale than as a startup (but still super fun!)
English
@jdelmerico No I didn't. The ones that learn the tech will be the most employable people on the market in a year.
English
@dangilbert If you're one of the 1,000 employees this guy claims to have you should go ahead and find another job. He just said he doesn't want 80% of you. Luckily, you have time.. he'll be waving those sticks for a while.
English
I'm RE-BUILDING my entire 1,000-person company to be AI-native. Not "using AI tools." Not "exploring AI opportunities." Rebuilding from the ground up.
Every structure, every task, every operating system gets the same test: does it still make sense when AI can do 80% of it? Most of the time the answer is no. So we change it.
Most companies will bolt AI onto their existing structure and call it transformation. But it's just decoration.
We're asking a different question: if we designed the company today, knowing what AI can actually do, what would we build? And then building THAT.
@ivanhzhao said it best: steel and steam didn't just change factories, they changed entire cities. AI and @NotionHQ is about to do the same to the knowledge economy.
Is it hard? Yes. 16-hour days digging deep, learning and using the latest tools so I can tell the difference between what ACTUALLY works and what's just a talking point. Much harder at scale than as a startup (but still super fun!)
GIF
English
@bengreenfield Recording a whole week is likely too much and tbh this workflow in my experience is overrated. Faster path is to dictate the flow and let it figure it out. You will not be able to "one-shot" it so just expect to refine and iterate and enjoy!
English
Random question regarding Claude:
Is there a strategy I could use to basically screen record whenever I am doing any of my daily tasks on the computer and phone, do that for a week, then once I’m done recording everything, upload videos to a platform that could then produce a full list of Claude workflows to automate some of what I do?
English