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Anthropic engineer: "The agent doesn't remember anything. So we built a second set of agents whose only job is to dream about the first ones." They wait until you log off, then reopen every session you ran, fact-check the first agents, merge the duplicates, and burn anything that went... show more

Hanako

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332,690 просмотров • 16 дней назад •via X (Twitter)

Образование Наука и технологии

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Anthropic engineer James Brady: "Every agent in production lies. We measured it. The good ones lie less, the great ones catch the lie before the user does." In 29 minutes, he walks through the verification stack he built and the patterns the Claude Code team adopted to keep agents honest at scale. Watch the full talk, then save the config below👇

Anthropic engineer James Brady: "Every agent in production lies. We measured it. The good ones lie less, the great ones catch the lie before the user does." In 29 minutes, he walks through the verification stack he built and the patterns the Claude Code team adopted to keep agents honest at scale. Watch the full talk, then save the config below👇

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We built Artifacts so you don’t have to guess what the agent is doing. They are dynamic intermediates, the shared source of truth between you and the agent.

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TBPN

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this video is the CLEAREST explanation of how claude skills + AI agents work and how to use them most people set up an AI agent and wonder why it keeps disappointing them. the context window is everything context is what the model assembles before it takes any action. think of it like everything the agent needs to read before it does anything. the quality of what goes in determines the quality of what comes out. the models are genuinely really good right now. claude and gpt are exceptional. the variable is almost always the context you give them. 1. agent.md files are mostly unnecessary every single line you put in an agent.md file gets added to every single conversation you have with your agent. a 1000 line file is around 7000 tokens burning on every run. the model already knows to use react. it can read your codebase. save the agent.md for proprietary information specific to your company that the model genuinely cannot know on its own. 2. skills are the actual unlock a skill.md file works differently. what loads into context is only the name and description, around 50 tokens. the full instructions only appear when the agent recognizes it needs that skill. so instead of 7000 tokens on every run you have 50. and the agent stays sharp because the context window stays lean. the closer you get to filling the context window the worse the agent performs, same way you perform worse when someone dumps 10 things on you at once. 3. here is how to actually build a skill the right way most people identify a workflow and immediately try to write the skill. what you want to do instead is run the workflow by hand with the agent first. walk it through every single step. tell it what to check, what good looks like, what bad looks like. correct it in real time. once you have had a full successful run from start to finish, tell the agent to review everything it just did and write the skill itself. it writes a better skill than you will because it has the full context of what actually worked in practice not in theory. 4. recursively building skills is how you go from frustrated to reliable when the skill breaks, and it will break, ask the agent exactly why it failed. it will tell you specifically what went wrong. fix it together in that same conversation. then tell it to update the skill file so that failure mode never happens again. ross mike did this five times with his youtube report generator. it now pulls from eight different data sources and runs flawlessly every single time without him touching it. 5. sub agents are something you earn not something you set up on day one start with one agent. build one workflow. turn it into one skill. once that works add another. ross mike has five sub agents now covering marketing, business, personal and more. it took months to get there and every single one exists because a workflow proved it deserved to exist. the people who set up 15 sub agents on day one and wonder why nothing works skipped all the steps that make the thing actually run. 6. your workflow is the thing the model cannot get anywhere else the model has been trained on everything. it knows more than you about most things. what it does not have is your specific process, your taste, your way of doing things. that is what skills capture. that is what makes your agent actually useful versus a generic one. downloading someone else's skill means downloading their context onto your setup and it will not work the way you want it to because it was never built around how you work. this is the clearest explanation of how agents actually work i have heard. Micky runs this stuff every single day and the results show it. full episode is now live on The Startup Ideas Podcast (SIP) 🧃 where you get your pods people charge for this sorta stuff i give away the sauce for free i just want you to win watch

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GREG ISENBERG

192,024 просмотров • 2 месяцев назад

Anthropic Claude Code engineer: "The moment you're reviewing every line Claude writes, you became its tester. You weren't hired for that." this 36 min talk is the clearest breakdown of how to get yourself out of the loop entirely the shift is simple: you stop prompting and start building agents that work instead of you agents that run, check themselves, and keep going while your laptop is closed watch it, then build your own with the step-by-step guide below

Anthropic Claude Code engineer: "The moment you're reviewing every line Claude writes, you became its tester. You weren't hired for that." this 36 min talk is the clearest breakdown of how to get yourself out of the loop entirely the shift is simple: you stop prompting and start building agents that work instead of you agents that run, check themselves, and keep going while your laptop is closed watch it, then build your own with the step-by-step guide below

Anatoli Kopadze

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When pressed by @JonKarl about why the House is out of session during the shutdown, Speaker Johnson said, “I refuse to allow us to come back and engage in anything until the government is reopen, when the Democrats do the right thing for the people.”

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Kaitee

49,963 просмотров • 3 месяцев назад

Boris Cherny, creator of Claude Code: "We stopped fixing Claude's mistakes. We made Claude fix them itself." So while you're explaining the same bug to Claude for the third time this week, the guy who built it has an agent that never repeats a mistake. Watch him explain it, then save the full setup below 👇

Boris Cherny, creator of Claude Code: "We stopped fixing Claude's mistakes. We made Claude fix them itself." So while you're explaining the same bug to Claude for the third time this week, the guy who built it has an agent that never repeats a mistake. Watch him explain it, then save the full setup below 👇

darkzodchi

116,176 просмотров • 26 дней назад

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fxnction

25,500 просмотров • 21 дней назад

Anthropic engineer: "Your AI judge is lying to you. Ask it to score first and explain after, and it will defend that number even when the work is garbage." The fix is one line: make it reason first, score last. Pros, cons, why it's good, why it's bad, then the number. He proved it live. A slide deck with zero images got a perfect 5 from the image judge. The grader had nothing to anchor on, so it just made the score up. Until you fix that, you're optimizing against a number that means nothing. Watch the video, then read the full breakdown below

Anthropic engineer: "Your AI judge is lying to you. Ask it to score first and explain after, and it will defend that number even when the work is garbage." The fix is one line: make it reason first, score last. Pros, cons, why it's good, why it's bad, then the number. He proved it live. A slide deck with zero images got a perfect 5 from the image judge. The grader had nothing to anchor on, so it just made the score up. Until you fix that, you're optimizing against a number that means nothing. Watch the video, then read the full breakdown below

Hanako

11,558 просмотров • 15 дней назад