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daytime: work with the best agents side by side — claude code + three we built ourselves (browser, computer use, video editing). nighttime: hand your machine over, earn while you sleep.

Derek Nee

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13,260 views • 4 months ago •via X (Twitter)

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🚨 BREAKING: This site lets you compare results from GPT, Claude, DeepSeek, Grok, and 20+ other models — side by side — using your own prompt. If you use AI for writing, coding, or research… this is a cheat code:

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Nelly;

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i built a plugin that lets Claude Code continuously self-improve ie, while you work, it notices patterns and asks to upgrade itself by absorbing them as new commands, skills, or even agents so the more you build together, the more capable it becomes

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Built a tiny app for Apple Watch that triggers your hand with the haptic once Claude Code completed the task. The completion screen roasts you differently every time :)

Built a tiny app for Apple Watch that triggers your hand with the haptic once Claude Code completed the task. The completion screen roasts you differently every time :)

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GPT-5.5 in Codex is built for long-session agent work. But context still doesn't follow you across projects, agents, or teammates. ByteRover does that + Save you tokens -> No rewriting context when you switch from Claude Code to Codex. Now connecting Codex, Claude Code, OpenClaw, Hermes, and 22+ more agents. Your context moves with you. → personal context for solo work → team context for shared decisions and bug history

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andy nguyen

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Your enterprise content should power every AI tool and agent you use. With the Box MCP server, Box acts as a secure, governed bridge, so teams can search, retrieve, analyze, and act on Box content directly inside the tools they already use. No one-off integrations. Use it to: 🔹Ask questions over files in Anthropic Claude + Mistral AI Le Chat 🔹Ground designs in Figma or @ mention Box agents in Atlassian Jira 🔹Pull content into GitHub Copilot, Cursor + Claude Code 🔹Build agents with LangChain LangSmith Agent Builder + OpenAI Agent Builder 🔹Automate work in Claude Cowork + Amazon Web Services Quick Suite 🔹Enforce access + audit trails with Runlayer Secure. Standardized. Built for real work →

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Palestinian children adoring Hitler. “We asked Hitler why he left some of you alive. We will tear your bodies apart with our rockets.” The world expects Jews to live side-by-side with them?

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- you open Claude Code - fix a bug - close the terminal - tomorrow, same thing - one prompt, one answer, done - you see someone running 10 agents in parallel shipping code while they sleep - "must be a different tool" - then you come across this article - you weren't even using 10% of it - you copy Shopify's exact config - you set up your first agent team - you go to sleep - 3 PRs are ready by morning

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490,465 views • 2 months ago

Introducing: Browser Use Box (bux). Your 24/7 personal agent box, powered by Browser Harness. ♞ We got tired of agents that vanish when you close the laptop. So we put them on a server. > 24/7 box that runs while you sleep > Real Chrome with persistent logins > Telegram baked in, text from anywhere I gave mine my email and a Telegram chat. It books flights, replies to LinkedIn and does my to-do list before I'm awake. Try it at ↓

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What is the best video editing agent for short form social? Does it actually work? We watched professional video editors, step by step, as they built short-form social reels in Adobe Premiere Pro. Today we're open-sourcing this preview dataset on Hugging Face, to make AI agents better at editing videos. The data set is 234 annotated steps across 4 computer-use trajectories. Editors narrated their reasoning aloud as they worked, so every step pairs a screenshot with the expert's own thought, a structured action, and executable grounding: >a Premiere MCP tool call, keyboard shortcut, menu path, or coordinate click. >The format follows the AgentNet trajectory schema, extended with a Premiere action taxonomy and multi-path execution. ***That makes it directly usable for computer-use agent SFT, reasoning mid-training, tool-use and function calling, and benchmarking agents against a human expert baseline. Enjoy!

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Mr Sinha

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