Rusk | AI Strategy & Web3 Architecture

Scaling AI agents for the modern enterprise 🤖
Bridging Web3 & Automation to redefine creative workflows 🏗️
​Vibe Coding the future | Consulting & Management

[Baseball’s Greatest Moments @BBGreatMoments]

Awesome mindset from Derek Jeter on failure

[Rusk | AI Strategy & Web3 Architecture @JayRusk]

I'm not crazy...👇

[Ihtesham Ali @ihtesham2005]

A Russian psychologist spent 10 years proving that the act of talking to yourself out loud is one of the most powerful cognitive tools the human brain has, and almost nobody outside his field has read the work.

His name was Lev Vygotsky.

He worked in Moscow in the 1920s and died of tuberculosis in 1934 at the age of 37. He had no laboratory, no funding, almost no English readers, and a body of work that the Soviet government suppressed for two decades after he died.

He produced the foundational theory of how human cognition actually develops, and the central piece of that theory was a behavior almost every adult is faintly embarrassed about.

Vygotsky noticed that young children talk to themselves constantly. They narrate their own actions, they argue with imaginary opponents, they instruct themselves through tasks out loud.

The dominant theory at the time, from the Swiss psychologist Jean Piaget, said this was a sign of cognitive immaturity that children would eventually grow out of as they learned to think properly.

Vygotsky said the exact opposite.

He argued that this self-directed speech was the most important cognitive event in the entire developmental window, because it was the moment a child first started to use language as a tool to control their own mind. The child was not failing to think. The child was learning how to think by externalizing the process and listening to themselves do it.

He predicted that as children matured, this out-loud self-talk would not disappear. It would go underground. It would become silent inner speech, which is the running monologue every adult has inside their own head for the rest of their life.

The voice you hear when you read this sentence is the direct descendant of a four-year-old narrating their own block tower.

For 50 years almost nobody outside Russia had access to his work, and the few researchers who did pick it up could not get funding to test it. Then in the early 2000s the experiments finally started to pile up, and what they found was that Vygotsky had been right about something even more important than he knew.

The first major study came from Gary Lupyan at the University of Wisconsin and Daniel Swingley at the University of Pennsylvania in 2012. They ran a simple visual search experiment. Participants were shown 20 images at once and asked to find a specific object, like a banana or a chair. In one condition they searched silently. In the other condition they were told to say the name of the object out loud to themselves while looking for it.

The participants who spoke the target name out loud found the object significantly faster, with higher accuracy, than the participants who searched in silence. The effect was strongest when the spoken word matched a familiar object the brain already had a strong category for.

Saying the word out loud literally tuned the visual system to detect that thing better. The researchers called it the label feedback effect, and the implication was that the act of vocalizing a goal physically changes how the brain processes the world while pursuing it.

The second major study came out of the University of Michigan and Michigan State in 2017. The lead researchers were Ethan Kross and Jason Moser, and they used both EEG and fMRI to record what happens inside the brain when people talk to themselves while emotionally upset.

They asked participants to recall painful autobiographical memories and reflect on them in two different ways. Some used the first person, saying things like "why am I feeling this way." Others used the third person, referring to themselves by their own name, saying things like "why is John feeling this way."

The brain scans showed that the simple act of switching from first person to third person, even silently, decreased activity in the medial prefrontal cortex, the region responsible for rumination and self-referential pain. Within a single second of using their own name instead of the word I, participants showed measurably lower emotional reactivity. The shift required no extra cognitive effort. It cost the brain nothing. And it worked.

Kross described the mechanism in his interviews. Talking to yourself by name creates a small amount of psychological distance from your own experience. Your brain processes the situation more like a problem belonging to someone else, which means it can analyze it instead of drowning in it.

What Vygotsky had intuited in 1934 turned out to be even more powerful than the developmental theory he built it into. The voice you use to talk to yourself is not background noise. It is one of the most precise cognitive tools the brain has, and you can change how it works just by changing the pronoun you use.

People who talk through problems out loud are not anxious or unstable. They are running an externalized version of a process the rest of us are running silently and worse. The kindergartener narrating their block tower, the surgeon muttering through a procedure, the engineer pacing a hallway describing a bug to nobody, the athlete repeating a cue to themselves before a free throw, they are all using the same ancient mechanism that builds and steers human thought.

You can run the experiment yourself the next time you are stuck on something hard. Stop trying to solve it silently in your head. Say it out loud. Describe what you are seeing. Walk yourself through the steps as if you were explaining it to a colleague who is not in the room.

And when something genuinely upsets you, switch to your own name. Ask why this person is feeling this way, instead of why I am feeling this way.

The voice you have been told to keep quiet your entire life is one of the oldest pieces of cognitive technology you own.

Most people are still embarrassed to use it.

[Brian Armstrong @brian_armstrong]

Your agent now has a wallet, with Base MCP.

Link to get started below

[Crypto Tice @CryptoTice_]

BREAKING:

Brian Armstrong just changed how crypto lending works.

Instant USDC borrowing. Right now.

Hold crypto. Borrow instantly. Never sell.
No credit check. No bank approval. No waiting.

Right as the CLARITY Act clears Washington.
The old system made you liquidate assets to access cash.

The new system lets you keep everything.

This is not a feature update.
This is a bank replacement.

And it launched at the most important moment in crypto history.

[Rusk | AI Strategy & Web3 Architecture @JayRusk]

We run in loops. It's the brain's way of being lazy & efficient

These repeating patterns can work for us or keep us trapped

Easiest way to break it... Do something wild & crazy

Get outside of your comfort zone. Do new things - make your brain work & your soul sing

[Rusk | AI Strategy & Web3 Architecture @JayRusk]

This 👇

Not only is it a great story that anyone can succeed with AI, but I love the power couple dynamic

Congrats on finding someone to build with @sobedominik

[Dominik Sobe ツ @sobedominik]

my girlfriend launched her first mobile app 5 weeks ago.

today it hit $800 MRR and almost $1000 in revenue!

incredibly proud boyfriend moment right here.

here’s the back story:

two months ago my gf approached me and asked me if i can teach her the basics of coding.

i was really stoked because it came from her and not me.

i tried forcing a partner in the past into coding and let me tell it didn’t work out well lol

anyways, being a proud engineer and believing in teaching people first principles i decided to not throw her immediately into AI vibe coding but rather teach her the basics of coding.

we started with the Swift playgrounds course which is absolutely amazing btw

after she learned programming primitives we moved to web and i taught her a bit of typescript

we then built a very simply react native app without any AI so she could get the feeling of how apps actually work (obsly very basic but better than nothing)

at that point my life became quite busy again and i had to fully focus on work

before that though, i taught her how AI works with Cursor and Claude Code and then i went back to work

fast forward a week or two my gf approached me with her first app idea that she wants to build

i genuinely couldn’t believe it because it was actually a great idea! very rare for a first timer.

she either absorbed a lot of business things i was just casually rambling during dinners or she’s just super smart.

probably the latter.

the idea had a few rough edges but i didn’t want to influence it too much because i believe that you gotta sometimes make mistakes and learn how to fix them / pivot along the way

so i basically “left the chat” and let her cook (or fu*k up) on her own

5 weeks later and her app revenue basically reached her salary (she’s indonesia and wages are a bit rekt)

95% of her revenue is coming from organic Tiktok clips and comments

every time i see her on her phone she’s now creating new content for distribution

i can see the hunger for more in her eyes and it’s absolutely beautiful

[ZERO IKA 🗡️ @IamZeroIka]

The modern workweek may be one of the biggest psychological experiments in history.

Humans were built for sunlight, movement, rest, community and natural rhythms instead of being placed under artificial lights, deadlines, alarms and endless notifications.

And we normalized it.

Now millions go to bed afraid of Mondays waking up tired and calling it adulthood.

We numb fatigue with caffeine, stress with productivity and burnout with “just make it to Friday.”

We spend 5 days surviving
for 2 days of recovery.

Not living, just “recovering”.

The system’s greatest achievement wasn’t making people work this much but it was convincing them this is what life is supposed to be.

[DAN KOE @thedankoe]

Most people quit because they forget that you have to be bad at something before you can be good at it. It's so obvious. You suck. Of course you're not going to win in 2 weeks. But if you can learn to enjoy extended periods of failure, you will make it very, very far in life.

[Atal @ZabihullahAtal]

🚨 BREAKING: A new role is quietly emerging and it’s about to dominate the next 5 years.

It’s not “AI engineer.”
It’s not “prompt engineer.”

It’s the Agent Operator.

And it will sit inside almost every organization.

Most people are still thinking about AI as a tool.

That framing is already outdated.

What’s actually happening is a shift from:
humans using software to humans managing autonomous agents that execute work

This is a fundamental redesign of how work gets done.

So what is an Agent Operator?

An Agent Operator is the person who:
• Designs how agents interact with real workflows
• Connects tools, data, and systems into agent pipelines
• Translates business problems into executable agent behavior
• Monitors, corrects, and improves agent performance over time

They don’t just “use AI.”

They orchestrate outcomes.

and this matter because
Every function marketing, legal, finance, biotech is becoming “agent-compatible.”

Not because companies want it.
Because they won’t have a choice.

Agents can:
• Run research loops
• Execute multi-step workflows
• Integrate across tools without APIs breaking the flow
• Operate 24/7 at near-zero marginal cost

The bottleneck is no longer capability.
It’s implementation inside real-world systems.

Required skills for AI Agent Operator role:
→ MCPs (Model Context Protocols)
Understanding how agents access tools, memory, and structured context.

→ CLIs (Command Line Interfaces)
Because serious agent workflows won’t live in GUIs—they’ll run in programmable environments.

→ Writing skills (the file kind)
Clear specs, instructions, and structured documents.
Agents run on precision, not vibes.

→ agents dot md fluency
The ability to define agent roles, constraints, memory, and tool usage in persistent formats.

→ Business acumen
Knowing what actually matters:
Where automation creates leverage, not noise.

What happens next
Enterprises will begin to redesign workflows:

Not around employees using dashboards…
But around agents executing tasks.

That means:
• SOPs → Agent playbooks
• Teams → Human + agent hybrids
• Tools → Composable agent systems

When that shift happens, companies won’t just need engineers.
They’ll need operators who understand both the system and the business.

The leverage is asymmetric

One strong Agent Operator can:

• Replace fragmented SaaS workflows
• Multiply team output without adding headcount
• Turn ideas into execution systems in days

This is not incremental productivity.

It’s operational transformation.

[Rusk | AI Strategy & Web3 Architecture @JayRusk]

I was in a space today and I heard Gen Z discussing why Space does not exist.

They argued that Artemis, the Moon, and everything in space was a lie for the rich to print and steal money.

Most dismissed it, and rightfully so

But it does lead to a real question that we should ask

How do we regain Gen Z's trust back? And should we?

The system is broken. Fraud, deceit, control, manipulation - it's on all sides

The top 10% own 90% of the wealth and power

Maybe they're right to question everything

And maybe they'll actual do something about it

Gen Z might actually be the smartest of all

[Rusk | AI Strategy & Web3 Architecture @JayRusk]

Jack lays out the reason AI will restructure companies, and it's not why you think...

[jack @jack]

https://t.co/jgZkBvYOPt

[Andrew @Tradesdontlie]

https://t.co/Ddl8b6fLX2

[Rusk | AI Strategy & Web3 Architecture @JayRusk]

@OverlordEins I'm looking fwd to it

[Rusk | AI Strategy & Web3 Architecture @JayRusk]

@MarioNawfal Unfortunately the system has been broken for some time

[Rusk | AI Strategy & Web3 Architecture @JayRusk]

@MarioNawfal Gives a whole new meaning to taking a trip

[Midnight @MidnightNtwrk]

https://t.co/knFD3swEln

[Garry Tan @garrytan]

I have to say this interview changed my life. Hearing how Boris thinks about software spurred me to work much harder on releasing my own way of doing things and on iterating fast on how I build. Hard to believe it has only been a month since this one.

[ClawCon @clawcon]

ClawCon Austin https://t.co/ykuq2CZaTF

[Rusk | AI Strategy & Web3 Architecture @JayRusk]

Real ones aren’t speed-running a course. They’re the degenerates who’ve spent 18 months breaking live revenue systems, watching clients bleed money from bad agent handoffs, then rebuilding 10× better.

Agree that you can get lost in the noise, but you gain invaluable experience going down the rabbit holes

[Rusk | AI Strategy & Web3 Architecture @JayRusk]

Deploy OpenClaw on DigitalOcean & you'll be running your own agents & sub agents in minutes with one click setup! Get $200 in cloud credits from @DigitalOcean using my link: https://t.co/TL7ND8aKYu