testorosso

your ai agent doesn't break because it's dumb. it breaks because the brain and the hands are the same thing. 1 agent that thinks and acts at once fails at full speed, and hides where it went wrong. managed agents split the 2 jobs. the brain plans and never touches a file, an api, or your data. the hands execute, each doing 1 narrow thing and deciding nothing about what comes next. and you own the seam between them, where every handoff is something you can read, log, and stop. 1 planner. many workers. 0 of them doing each other's job. pull the brain out of the hands and the same model that kept failing stops. you didn't upgrade it. you stopped asking 1 thing to be 2. everyone's chasing a smarter agent. the people shipping just stopped letting theirs think and grab at the same time.

@rileywestreel the devil is in the details)

@test0rosso Agreed, it's never about the model, it's about the setup around it.

i deleted most of my ai tools and kept 1 workflow that one-shots almost anything i give it. not a smarter model. not a longer prompt. 1 setup i built once that reads the task, does the work, and hands it back finished on the first pass. it one-shots for 3 reasons, and they're the 3 people skip. it already has my files, so the context lives in the workflow instead of a prompt i re-paste every time. it already knows my format, so it fills a fixed template instead of inventing one. and it runs my checks before it answers, catching the 2 or 3 things i'd flag on review first. 1 input. 1 pass. 1 result i ship. the same job used to need a small team and a few days. now it's 1 workflow and 1 sitting. most people are still collecting ai tools. the ones moving built 1 that finishes the job and closed the rest.

the best ai tool you'll touch this year costs 0 dollars and it's been on your computer for years. it's the terminal. the plain black window you've never opened. 1 line of setup turns it into an agent that reads your files, writes the code, and runs the task while you watch. not a chatbot you copy-paste out of. an agent that acts inside the machine you already own. 0 downloads. 1 command. 1 tool that sat there the whole time. a year ago this took a subscription and a login. now it's pre-installed, and most people will never open it. the ones pulling ahead aren't buying new ai. they're finally opening what shipped with the box.

@yurshevv great guide, thnx

You're probably one hour away from using Claude 10x better than you do today. Not because you'll memorize prompts. Because you'll finally understand how to build with it instead of just chatting with it. Most people use Claude like a search engine. Ask a question. Copy the answer. Close the tab. Then wonder why everyone else seems to be making money with AI. The biggest shift isn't learning more prompts. It's learning how to build systems. How to automate repetitive work. How to create AI agents that keep working after you've closed your laptop. How to turn an idea into something people actually pay for. That's exactly what this Claude course teaches. Not theory. Not AI news. Real workflows you can start using immediately. The people who get the biggest return from AI aren't constantly looking for the next tool. They're mastering the one they already have. One focused hour tonight could completely change how you use AI for the rest of the year. Question: what's one task you still do manually every week that Claude should already be doing for you?

@rileywestreel u'r totally right

@test0rosso So true, an agent on broken workflows just automates chaos faster

everyone's rushing to build ai agents. the ones who actually ship learned 1 boring thing first: how data moves. the order that works isn't the one being sold to you. it's 3 stages, and agents are the last. stage 1: workflows. 0 ai. 0 agents. how data comes in, where it goes, what triggers what, what breaks. it's dull, and it's the whole game. stage 2: ai inside those workflows small, controlled decisions, not the steering wheel. stage 3: agents. an agent on a broken foundation doesn't automate your work. it automates the mistakes, faster. 3 stages, 1 order. skip stage 1 and the agent just fails in ways you can't debug. most people start at stage 3 because it looks impressive. that's exactly why theirs keep breaking.

@nonepcbl thnx, bro

@test0rosso so good

@0x_fokki the future of the whole game industry

A 23-year-old developer gave Claude Fable 5 one sentence and came back to a finished video game He typed a single goal, build a playable strategy game, test it yourself, fix what breaks, then closed the laptop and left Fable 5 ran for hours on its own. it planned the game, wrote the code, and spun up a live map with resources, factions and a real-time leaderboard It ran its own tests, watched some fail, and repaired them without a single message from him While checking its work, it caught a bug nobody asked about, a building rendering 3x too tall, and quietly fixed that one too The old way took 20 messages to get one function working, and you were the glue holding it together. Fable keeps the whole goal in mind and comes back only when it is done He never prompted it step by step. he handed off the project and walked away Every brief and setting he used is in the article

@rileywestreel An excellent instinct, it could well happen all over again, history is cyclical

Mark Cuban sold Broadcast to Yahoo for $5.7B in 1999 at the peak of the dotcom bubble, then cashed out before the crash. He got asked about OpenAI's trillion dollar spending. Cuban: "They'll never get it," Cuban said. OpenAI raised $110B, 3x the largest IPO ever, and plans to pour over $1 trillion into infrastructure. Cuban: "The ability to process is going to get faster and cheaper, quicker than people expect. A lot of the numbers they're throwing out there aren't going to come to fruition." Watch the clip below

@yurshevv Everything is much simpler than it might seem, and that applies to everything

@test0rosso most business problems are solved by a basic webhook, but nobody gets views for talking about a simple ifthen statement lol

@EXM7777 doubling of my cognitive abilities

@yurshevv a pretty good marketing move

Google just dropped a free 8-minute lesson on AI agents. Most people will watch it and think they learned something. They didn't. Because the most important idea isn't the agent loop. It's not memory. It's not sub-agents. It's the shift in how you should think about AI. Once you see it, you stop asking AI for answers. You start giving it outcomes. That's exactly why people building AI agents today are moving 10x faster than everyone else. The lesson explains it without the usual hype. And once you notice it, you won't use ChatGPT the same way again. Watch the 8-minute lesson first. Then read the guide below. You'll understand why AI agents are becoming the biggest shift since ChatGPT itself

@NoobRobloxSOL hey

@test0rosso hi

1 folder of text files. that's the whole "ai design tool" everyone's posting about. a skill isn't a model. it's instructions in plain language, dropped into 1 folder that maps the workflow so the agent reads the right one at the right moment. no framework. no plugin. 1 folder, named right. people ran entire studios by hand this way for months before the polished version shipped. it just automates the folder. a year ago that studio was a team, a pipeline, and a stack of paid software. now it's 1 folder an agent reads and 1 prompt. the tool was never the moat. the folder is and it's been on your desktop the whole time. most people are waiting for the next ai feature. the ones ahead already wrote theirs into a folder.

@yurshevv glad to hear it

@test0rosso best take on the agent hype so far. actually worth reading

@nonepcbl I hope that thanks to this information, you will be able to preserve your money and, perhaps, even multiply it

@test0rosso real talk bookmarked

@rileywestreel you'r right

@test0rosso the tool was never the moat is such a clean way to put it

@yurshevv There is strength in simplicity

@test0rosso the real moat is literally just a folder on your desktop. keeping it simple always wins