tombine

AI researcher | Content creator

dm always open

[tombine @0xtombine]

This is f*cking insane. Eric Schmidt just told founders where the easiest money in tech is right now:

"If you really want to make money, it's actually easy. Found an agentic AI company

If you build a better agent than anyone else, you can probably build one incredible company and own it yourself"

In just 27 seconds, he explains why the next 1-2 years decide who owns the agents and who works for them

Prompt → Agent → Agent Graph → Revenue → Your Own Company

Every tool you need to build those agents is free. Save this before your feed buries it:

Start here, Claude Code 101: https://t.co/fdmJhO9hyn

Claude Code in action: https://t.co/dwfxAVsi1I

The full Anthropic Academy: https://t.co/Jl3jnf0S8Q

Prompting, the official guide: https://t.co/dvoJNWpJNp

Interactive prompt course: https://t.co/Vo11KxeDAB

Claude Code docs: https://t.co/uSApxv0vUe

CLAUDE.md and memory: https://t.co/D8aPPPqKJA

Skills: https://t.co/VObt7XCVpx

MCP: https://t.co/vFojBx1xsy

Routines: https://t.co/lNYFmYou6u

The ultimate Claude Code guide: https://t.co/aNE9aeeBh3

Awesome Claude Code: https://t.co/dTS1lDpIAe

All of it costs $0

That is the whole difference between using AI and having AI work for you

Bookmark it and open link #1 tonight

Then read how to run 20 Claude Code agents as one graph in the article below ↓

[Arcos @0xarcos]

Companies pay $300K+ a year for engineers who can run AI agents without babysitting them

Last week 20 Claude Code agents shipped 143 changes while I slept. I approved 6 merges

Here is graph engineering in Claude Code, file by file. Free ↓ https://t.co/RF9Pw3N4Yc

[tombine @0xtombine]

@pedrofragoso the tool changes. accountability doesn’t

[tombine @0xtombine]

This is f*cking insane. SpaceXAI engineer Lauren Tan:

"You can't spawn a hundred agents when you don't even trust the output of one agent

If you don't have a verification skill, you are the verifier. You're the bottleneck"

She used to read every single output herself. Now 2,000+ PRs a month merge without her

Agent → Proof → Harness → Evals → Merge

A verification skill is the part of the harness that checks the work before it ever reaches you

Evals catch a mistake once, so it never ships twice

Anyone can launch 100 Grok Bot agents, almost nobody trusts them to merge overnight

The 1-hour talk beats most $2,000 AI agent courses

Save it and watch it tonight

Then read how to build agents that never make the same mistake twice in the article below ↓

[Arcos @0xarcos]

https://t.co/0Cs6YR6cf5

[tombine @0xtombine]

@one_dyor exactly, no agent should grade its own work

[tombine @0xtombine]

@surlymochan more like the feedback loop. the verifier is what makes it trustworthy

[tombine @0xtombine]

This is f*cking insane. Anthropic CEO Dario Amodei:

"I was at OpenAI when GPT first figured out how to code. I saw it happen right in front of me

Ilya once said: 'the models just want to learn.' That stuck with me. And suddenly, everything clicked

Then I left with 7 people and built Claude. Not because OpenAI got it wrong - but because I believed we could push it further"

"the models just want to learn. remove the barriers, give them room to work - and they'll figure it out"

The exact same principle applies to you

Stop overthinking. Stop asking for permission. Stop waiting until everything feels perfect

Claude ran 700 experiments in just 2 nights - uncovering improvements its creator had overlooked for 20 years

It didn't wait for instructions. It didn't spend weeks planning

It just got to work

The gap between people who actually use Claude and those who don't isn't measured in months anymore

It's measured in years

Watch this, then bookmark the AI breakthrough ↓

[Arcos @0xarcos]

https://t.co/0Cs6YR6cf5

[tombine @0xtombine]

This is f*cking insane. Andrej Karpathy just dropped this:

"Prompting is fading away. Delete everything, keep the Graph."

In just 69 minutes, he breaks down how to build graphs and why they're the only layer that survives in the end

Prompts → Agents → Loops → Graphs

a loop keeps a single agent running until the task is finished

a graph determines which agents exist and what each one passes to the next

anyone can create an agent, but almost nobody knows how to build the graph that controls them

watch it today, then bookmark the complete guide to graphs below before everyone else catches on

[Arcos @0xarcos]

https://t.co/0Cs6YR6cf5

[tombine @0xtombine]

Anthropic founders Dario and Daniela Amodei just made OpenAI’s leadership story look f*cking brutal...

“We left OpenAI with seven people. Everyone thought we were crazy.

Three and a half years later, all seven Anthropic co-founders are still here.

At OpenAI? Ask how many remain.”

They left to build an AI that makes you better, not comfortable.

Claude will not agree with you simply because you want it to.

“Use Claude to think harder, not to stop thinking.”

Bookmark this and watch it today.

Then read the full article below ↓

[Arcos @0xarcos]

https://t.co/0Cs6YR6cf5

[tombine @0xtombine]

This is f*cking insane. Dario Amodei, CEO of Anthropic, just exposed the unfair advantage that's leaving OpenAI and Google in the dust:

"We use Claude Code across all stages of product development cycle. That's how we ship so fast."

In a 1-hour interview, Amodei breaks down how one of the fastest-growing AI companies builds products using its own model.

The formula behind their speed: Claude + loops + routines + dynamic workflows.

Watch the full interview or read the article below to see how it all works.

[Arcos @0xarcos]

https://t.co/0Cs6YR6cf5

[tombine @0xtombine]

Andrej Karpathy:

"Vibe coding is incredible. But Agentic + Opus 5.5 harness engineering takes things to a whole new level.

AI agents now handle 99% of my daily coding workflow."

In this 30-minute session, Andrej Karpathy breaks down how to create a powerful AI agent workflow from the ground up.

More valuable than most $500 agentic engineering courses you'll find online.

Watch it today, then dive into The Karpathy Playbook below ↓

[Arcos @0xarcos]

https://t.co/0Cs6YR6cf5

[tombine @0xtombine]

Anthropic just made most multi-agent systems look f*cking primitive...

They reportedly hired this engineer at $250K–$750K a year because he knows how to build the layer everyone ignores:

The harness.

In this 15-minute workshop, he builds one from scratch.

AI → Agents → Harness → Loops → Graphs

step 1 → start with the Claude Agent SDK

The harness manages loops, context and sandboxing around the model.

step 2 → separate the brain from the hands

Reasoning stays in one place. Tools run inside a sandbox. The result is up to 60% faster time to first token.

step 3 → move it server-side and trace everything

Close your laptop and the agents keep working. If something crashes, the system resumes from the log.

step 4 → make failure f*cking cheap

Replace dead sandboxes, retry failed steps and replay missing context without restarting the entire run.

step 5 → turn yesterday’s logs into tomorrow’s memory and skills

Every failure becomes reusable context.

The same model wakes up inside a smarter system.

Anthropic calls this “dreaming”.

Most people waste weeks rebuilding this infrastructure by hand.

You don’t have to.

Bookmark this and watch the full workshop.

Then read the complete harness engineering guide below ↓

[Arcos @0xarcos]

https://t.co/0Cs6YR6cf5

[tombine @0xtombine]

full failure ratchet system: https://t.co/zIHFD2JWqJ

[tombine @0xtombine]

Claude Code is a genius with permanent amnesia...

Every run is its first day on the job. It can break the same file, invent the same API and declare unfinished work done again.

This master prompt turns every failure into a ratchet:
Capture it. Classify it. Replay it. Encode a guard. Prove the guard fires.

Making the same mistake twice is f*cking optional...

Drop the prompt into Claude Code.
Then read the full field manual below ↓

[Arcos @0xarcos]

https://t.co/0Cs6YR6cf5

[tombine @0xtombine]

@0xarcos repeat failure rate might be the only metric here that shows if the harness is actually learning

[tombine @0xtombine]

@0xarcos kinda wild that exit 2 can do more than another 2k words in claude.md

[tombine @0xtombine]

@0xarcos accountability is what separates useful agents from expensive experiments

[tombine @0xtombine]

Holy f*ck. Elon Musk just told 20M people to hire Grok Bot.

99% will onboard it like an intern: no job description, no access rules, no review.

Then they'll say "it doesn't work."

Here's how to hire Grok Bot like an actual employee:

1. Write a job description, not a prompt.
One role. One owner. One line it never crosses.

2. Give it access like a new hire.
Read first. Anything that sends, signs or spends waits for your APPROVE.

3. Day 1 is an errand you can check in 30 seconds.
If it fails that, it doesn't get your inbox.

4. Weekly 1:1.
It reports what it did, what it skipped and why.

5. Promote it after one boring week.
Then give it a team.

Pierre's Grok Bot just got promoted to team member.
Yours can too.

Bookmark this, then read how to build a Grok Bot team that runs 24/7 in the article below ↓

[broke boy @0xfuckpoverty]

Grok Bot + Jev could turn a single trading bot into a 24/7 AI trading desk.

It can read the order book, judge every block in under half a second, enforce your risk limits and wait for your signature while you sleep.

In this article, I show you how. https://t.co/7VNuXFU4HW

[tombine @0xtombine]

@0xpainy small tasks reveal reliability faster than impressive demos ever will

[tombine @0xtombine]

@0xkillaz exactly, permissions should grow only after trust is earned

[tombine @0xtombine]

full Claude Code harness blueprint ↓
https://t.co/QXrE3Uahic

[tombine @0xtombine]

Your Claude Code agent isn't stupid. Your setup is f*cking broken...

Most people rewrite the prompt, switch the model and dump more context into the window.

Nothing changes.

The agent still forgets decisions, grabs the wrong tool and says “done” without proof.

The missing layer is not another prompt.

It is the harness around the model:

Contract → Map → Tools → Memory → Sensors → Permissions → Traces

This PDF turns those seven jobs into a reusable Claude Code control layer.

Drop it into Claude Code.

Then read the full Harness Engineering breakdown below ↓

[rari🈀 @0xwhrrari]

https://t.co/3ANIWs48lJ