Andy

Using AI as leverage. Sharing the process

[Ronin @DeRonin_]

THIS WEEK BROKE MY OWN DISTRIBUTION RECORDS

what i shipped for clients in 7 days:

> 63 creators activated across 4 client launches
> 12.8M combined impressions across X, LinkedIn, Instagram, YouTube
> 2.4M from one launch tweet alone
> 14k new followers across 3 founder accounts
> 38k waitlist signups split across creators
> 470 leads into one client's CRM (zero ad spend)
> $87k pipeline opened from one content cycle
> #1 Product Hunt for a SaaS we launched monday

if your product deserves more eyes than it's getting.. let's talk

P.S. don't lose me guys.. just locked in on distribution rn lol

soon i'll drop a series on how i automated my whole workflow.. ship faster, reach results faster, no 10+ person team needed

[Andy @andy_ai0]

AI automation engineers on X charge $1-10k per solution

same skill as a 9-5 job. different distribution

the playbook:

1. learn automation by building real solutions for real businesses. just build

article from my friend @DeRonin_ "how to become an AI automation builder in 6 months: https://t.co/4sjl1RkbrC (with all resources you need)

2. build your personal brand on X. write about what you're building, what works (build in public)

3. set up a Typeform or Calendly funnel in your content. let clients come to you

4. get better. charge more. one automated solution starts at $1-2k. scales to $5-30k depending on scope

5. hire developers. delegate the technical work. you focus on distribution and sales

why X specifically:

- one of the best platform for selling B2B automation services
- solo business owners (B2C) need your workflows to save time and cut costs
- most products genuinely need this. they just don't know where to find it

as someone who works in distribution and follows AI + automation closely, the demand is real and most businesses are still in early adoption

distribution is the key to success in 2026

automation + distribution is the key to success for the next few years

nothing is stopping you except yourself and a $200 Claude Max subscription

[rewind @rewind02]

Andrej Karpathy explained why AI got superhuman at chess, coding, and math

but still can't decide whether to walk or drive 3 blocks

this one idea explains everything about where AI is actually going

when he explains why AI progress is uneven, it's not theory. it's pattern recognition from a decade inside the machine

the insight most people miss:

> AI improves fastest in domains where outputs can be verified
> in unverifiable domains: taste, judgment, common sense - AI still makes embarrassing mistakes
> GPT-4 became dramatically better at chess than GPT-3.5
> reinforcement learning only works when you can tell the model it was wrong
> "jagged intelligence" is the right mental model: superhuman in one column, below average in the next
> the domains that will be automated first are not the hardest ones. they're the most verifiable ones
> founders who build RL environments around their specific domain will pull so far ahead it won't be close

what this means right now:

> if your product touches math, code, law, medicine, or any rule-based domain - the automation timeline is shorter than you think
> if your moat depends on taste, relationships, or judgment - you have more runway than the headlines suggest
> the question to ask about any AI tool: "how does it know when it's wrong?"
> if the answer is "it doesn't" - that's where the risk lives

most people treat AI capability as uniform. it isn't. it never was

the winners will be the ones who understood the difference early

FULL INTERVIEW BELOW one of the clearest frameworks I've seen for thinking about where AI actually goes next

[Movez @0xMovez]

Microsoft Senior AI developer just showed how they build AI agents with Claude at Microsoft.

34-minutes. free. By Microsoft team

Opus 4.7 + 1,400+ pre-built MCP tools

plug Claude into agent → give it tools → ship to production

worth more than any $500 vibe-coding course.

[rewind @rewind02]

Andrej Karpathy spent 2 hours explaining what most AI educators won't tell you

it's about what happens to humans when AI takes over knowledge work

Karpathy has been in AI for 20 years. he built GPT-2, co-founded OpenAI, led Tesla Autopilot

the part most people skip past:

> the AI you're using today can't actually learn
> "year of agents" is a marketing phrase. he calls it the decade of agents
> coding assistants are great at boilerplate. they fall apart on novel architecture
> the bottleneck isn't compute. it's that current models memorize instead of reason
> most people open Claude, ask a question, close the tab
> the humans who flourish won't be the ones who fear AI. they'll be the ones who stayed curious and kept building mental models

right now most people are outsourcing thinking without building the skill underneath

Karpathy's answer isn't to slow AI down, it's to build better humans faster

he's designing a Starfleet Academy from scratch: AI-assisted, expert-led, built on first principles

the goal is "eurekas per second" - how fast can you get someone from zero to genuine understanding

full 2-hour conversation is below

the education section alone is worth more than most $2,000 courses you've seen in your feed

[Movez @0xMovez]

Anthropic's Claude team just showed the exact playbook for AI agents with real memory.

24 minutes. free. by people who built Claude.

99% of "AI agents" reset every session. the 1% with memory - they're employees that never sleep.

One person + 10 of them = a team that runs 24/7 and improves itself.

worth more than any $500 vibe-coding course.

[Andy @andy_ai0]

@DeRonin_ ELEVEN

[Movez @0xMovez]

https://t.co/OUbxRMKjln

[rewind @rewind02]

AI agent problem nobody talks about:

> no memory of past failures
> deterministic work done in latent space
> prompt tweaks instead of structural fixes
> right tool exists, agent ignores it and chooses cleverness instead
> skills created but never tested
> resolver table not updated
> two skills overlap
> API changes shape
> orphan skills eat context tokens and never run
> no daily health check

Pattern is always the same:

Agent makes mistake → you fix it in conversation → next session same mistake happens again

Full breakdown of how to turn every failure into a permanent structural fix👇

[Andy @andy_ai0]

By 2030, marketers may become more demanded than ever. But only if they adapt to new reality ⬇️

most people who used to do routine work are simply no longer needed

the main value now = impact on business results

i keep thinking that what will really die is mediocrity

my approach to staying relevant as a marketer ⬇️

1. Stop being the person who just clicks buttons, and start understanding the system

even though i have always tried to focus on this, i see that i can still improve my skills in building strategies and growth systems

routine work has been and will keep being replaced, but AI still will not be able to take full responsibility

working with hypotheses, influencing the product, and improving metrics is more a part of business itself, and that will likely always include some human factor

2. Become more of an expert in content

automation has replaced the production of tweets, but real expertise, to me, is about "delivering an idea that makes an impact"

people will always read about experience, thinking, and a unique point of view from people like themselves

this gives you the chance to build a personal brand as a personal asset that creates a certain level of independence from an employer

and it lets you work for results or a share of the business, while having more credibility and trust

3. Integrate AI as a tool into your workflow

i realized for myself that if i do not work with data and automation, it will end badly

even the role of an "AI orchestrator" will stay very relevant

managing AI tools, building systems, and automating certain parts of routine work will become a highly demanded role in every team

especially if all of that is combined with strategic marketing experience and team management

So, what is the final takeaway, what would i focus on?

- develop systems thinking
- be ready to work with uncertainty
- adopt an AI-native approach
- build communication and influence

and of course, in the era of solo-building, focus on building your own products, creating and growing your personal brand

and using every possible form of leverage as a tool

[Andy @andy_ai0]

@SachinHMx gonna have to go through those challenges along the way

[Andy @andy_ai0]

Started building my first mobile app MVP from scratch

coding skills = ~0, background is in marketing and content creation, so this is something new

in ~7 hours i managed to:

-> set up the app structure
-> build the onboarding flow
-> implement the core functionality
-> connect backend and database
-> fix around 10-20 bugs

stack i'm using: Claude for structuring and thinking things through + Cursor for implementation

when Claude hits usage limits, i switch to ChatGPT to fix simple bugs, also planning to improve the design with Framer

spent around ~5 hours coming up with the idea, validating it, and talking to people who'd actually be interested

i get that a full version of the app will take about a week, the world's not gonna be the same after that

with my background in content on X, i can see this is the best time to pivot my career into building

feels like we're in the prime era for solo builders who can create pretty much anything they imagine

last year i generated ~50M+ high-quality impressions for my clients on X, time to do it for myself and my own products

inspired by my friend @DeRonin_ who also started building his own products and already launched a beta for his fitness app

it's never too late to start

[Andy @andy_ai0]

i see it as a way to build my personal brand from a founder's perspective, talking about interesting startups and what could be built, since that's what i'm into

might start tweeting about it, since i'm constantly searching interesting products and ideas, different growth strategies, but never really done it in public

enjoy reading creators like that, and i'd like to become one of them

[Andy @andy_ai0]

@HamzaXBT MacBook Air M2 (16/512) connected to a monitor using a dedicated adapter

[Andy @andy_ai0]

@handsher_NGU 🫂

[Andy @andy_ai0]

@DeRonin_ it's just a matter of time before we finally bring all the ideas we've talked about to life my fren 🫂

[Cormac @cormachayden_]

how life sounds after realizing one person with an ai agent can rewrite billion dollar software companies in seconds

[Andy @andy_ai0]

@DanielW_Kiwi @yosoymario91 @levelsio Experiencing the golden age of the internet is something not everyone got to do 😀

[Andy @andy_ai0]

🚨 Warning: this game might permanently upgrade your life

@levelsio dropped a chill game that's perfect after a hard work day

Feels like being a kid again, opening random browser games and playing shooters for hours

True nostalgia

[@levelsio @levelsio]

Chaos @ https://t.co/Ta63J2kqO2 now :D

[Andy @andy_ai0]

@xmartinj @levelsio Exactly that, Quake with multiplayer and gamepad support in the web version