The design firm for the AI age.
Joined August 2024
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Your company knows more than you think. The problem is none of it is readable.
It's buried in Slack threads, old meeting notes, emails nobody saved, decisions nobody documented.
Making your company readable to agents and to yourself is the foundation of an AI-native org.
@TheoTabah takes on the Startup Ideas Pod with @gregisenberg
Watch the full pod 📷
youtube.com/watch?v=LztPaNmc…
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LCA retweeted
Jun 8
What does it actually mean to be AI native?
There was no clear guide on the internet for how to become AI native so we built the definitive one (60 min masterclass):
1. An AI native org has 3 layers: people for strategy and taste, agents for execution, and a shared context layer that makes the entire company readable to agents.
2. AI eats the middle of your work. You used to spend 80% of your day on execution. Now agents do that. Your job is the bookends: deciding what to do and judging whether it's good enough.
3. Everyone is a manager now. Your output is the output of your agents. If your agents produce garbage, that's on you. You set them up wrong.
4. Using ChatGPT doesn't make you AI native. That's like having a website and calling yourself a tech company lol.
5. No AI native org without AI native people. Most companies skip straight to the tools. That's why it fails. If your people don't understand how to manage agents, the tech doesn't matter.
6. Making your company "readable" to agents is the real work. Every process, every decision, every piece of knowledge needs to exist in a format an agent can consume. Most companies are nowhere close.
7. Speed without signal is just expensive chaos. You need the system to move fast AND know if you're moving in the right direction.
8. The skill chain is how agents get good at your specific workflows. Skills build on skills. The more you invest in them, the more your company compounds.
9. The moat is the system. People managing agents, agents reading from rich context, the whole thing getting smarter every week. That compounds. Your competitor can copy your tools. They can't copy your system.
Full episode with @TheoTabah from @meetLCA on @startupideaspod. This is the stuff we normally keep internal but all the sauce is yours.
@TheoTabah is the brains behind advising the world's biggest companies on AI and building AI products. Your fav CEO's first call for figuring out AI.
You are in for a treat
Become AI native in under 60 minutes
youtube.com/watch?v=LztPaNmc…
Watch
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Caterpillar has led one of the most interesting and real use cases of AI of the last few years.
It's the perfect combination of headless products, trust, conversational design, and intelligence in action.
Headless means leading with trust. It means thinking about design differently. It doesn’t mean being completely invisible.
When AI operates without a traditional interface the instinct is to say the interface disappeared when really it didn’t. This is a perfect example of a design problem we’re going to see more and more of. Every signal has to earn its moment. With the wrong format, tone, timing, or even the wrong amount of information , you can frustrate a user and burn trust
If you break their trust, you add to a list of systems no one actually uses.
In this case, you need full buy in.
This is where design and safety become the same conversation.
An operator mid-lift when a hydraulic spike hits cannot process a modal. Cannot tap through a confirmation screen. Cannot read a report. They have half a second and a machine in the air.
The design philosophy falls into three sentences; Understand Intent. Make it Easy. Win Trust.
This is how we think about design for high-stakes AI systems. The interface has to know when to be loud and when to be silent. When a passive status bar is enough and when two sentences is everything. When restraint is the most important design decision in the room.
CAT had all the pieces of the puzzle in terms of infrastructure, data, and connectivity. So the challenge becomes designing a layer that makes all of that intelligence actually land for three completely different people in three completely different moments under three completely different amounts of pressure.
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LCA retweeted
22 Dec 2025
This is what happens when someone genuinely loves their work.
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LCA retweeted
11 Nov 2025
If you’ve ever wanted to work with me, LMK.
Looking for exceptional designers, operators, vibe coders, marketers and engineers who think long-term.
Like or reply to this tweet if that’s you.
I'll DM the 10 most interesting ones this week.
I'd be honored to work with you
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Big congrats to @thisisgrantlee, @KristinFracchia and the entire Gamma team.
Massive things coming through end of year and in '26
10 Nov 2025
Today, as shared by The New York Times, we’re announcing two things:
>Our Series B at a $2.1B valuation led by @sarahdingwang at @a16z.
>Reaching $100M ARR, profitably, with a team of just 50 people. That's $2M ARR per employee.
PowerPoint was invented before the first website, before the Game Boy, before the Berlin Wall fell.
But Gamma, and our 70 million users, are proof that an AI-native company can disrupt a category everyone assumed was won.
30 million gammas are created every single month, as we fight hard to become a new standard for communication.
But we’re not stopping. We’re expanding our plans for businesses. We’re building out a full visual storytelling platform. And today, we’re releasing our API to the general public. So you can plug Gamma into wherever work happens.
And to celebrate, we’re also sharing our first ever prompt guide backed by research into how our most successful users use Gamma to automate presentations, websites, and content in minutes.
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First Chat Apps, now Tools in @diabrowser
Nice initial display of what's being searched for added transparency, along with providing sources for answers.
Great use of AX principles; 'transparency builds trust', & 'show your receipts'
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Greg is always early on the next thing. While Chat apps are still in dev mode, we’ve already been building and coming up with some great use cases. This changes the agentic experience inside of Chat.
These early innings are where you set the tone for the game. Let’s build.
10 Oct 2025
chatgpt has 800 million weekly active users and it just became one of the biggest software distribution platform in history.
i went on my first million to break down the wealth creation moment of chatgpt apps.
for the first time, discovery, intent, and transaction all happen in the same place. when someone needs to solve a problem, they open chatgpt, describe what they want, and the right app surfaces instantly. there is no searching, downloading, or sign-up flow.
the opportunity is to build apps that meet users at that exact moment of intent. apps that quietly appear when someone needs help filing taxes, finding a doctor, repairing credit, or pulling a business document.
note: @meetLCA has announced we are building chatgpt apps, go to the website if you're a band doing $5M in revenue looking for an app.
this is the new playbook for building chatgpt apps.
build for intent by starting with the questions people already ask every day: help me, find me, do this for me. these are high-signal, high-conversion moments that don’t require advertising.
connect to the real data users care about through the model context protocol. banking, healthcare, government filings, and crm systems all open up as inputs for automation. your app earns trust when it can act on real information instead of generating text.
use openai’s sdk ui to make each workflow tangible. give people sliders to explore cost scenarios, maps for discovery, calculators for quick answers, and checklists for next steps. each interaction should feel like a single focused experience, not a mini website.
monetize through action. the right chatgpt app earns the second it’s used, not through long funnels or paywalls. charge small transaction fees, take affiliate revenue from connected services, or add light subscriptions for repeat users.
in this MFM pod i gave away 3 startups ideas to get your creative juices flowing. thanks to @thesamparr for having me on and nerding out with me.
history’s repeating itself.
first websites, then mobile apps, now chatgpt apps.
early builders always win.
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