someone just dropped a full 10-stage academic research pipeline for Claude Code. It doesn’t write your paper for you, it hunts references, formats citations, verifies data, and even runs a "devil's advocate" agent to attack your own thesis. Here's why it's a massive deal for
AGENTS
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AI takes control of your body to teach new skills
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#AI Temporarily Takes Control of Your Body to Teach New Skills
— Ronald van Loon (@Ronald_vanLoon) 16 mai 2026
by @BrianRoemmele#Innovation #ArtificialIntelligence #MachineLearning #ML pic.twitter.com/E4d1ix5zmz#AI Temporarily Takes Control of Your Body to Teach New Skills
by @BrianRoemmele #Innovation #ArtificialIntelligence #MachineLearning #ML -
Using Codex for multi-agent workflows and function calls
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Yes, so Codex can actually run multiple MagicPath calls, or you can also ask Codex to spawn multiple agents if you want to do that more efficiently!
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Complete Claude Cowork tutorial: set up agents and automation
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Tutorial completo de Claude Cowork (25 min)
— Nico (@nicos_ai) 16 mai 2026
• cómo configurar Cowork
• automatizar tareas y procesos
• convertir Claude en un asistente real para tu trabajo
Subtitulado al español.
Muy recomendado 👇 https://t.co/m7tAS5tPMYComplete Claude Cowork Tutorial (25 min) • how to set up Cowork
• automate tasks and processes
• turn Claude into a real assistant for your work Subtitled in Spanish. Highly recommended -
OpenAI turns Codex into control plane for personal compute fleet
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holy: OpenAI is turning Codex into a control plane for your entire personal compute fleet. Every Mac Mini, work desktop, devbox, and eventually browser session becomes an agent endpoint. openai is cooking
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Using Codex to Build a Mobile App for On-the-Go Work
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I only add complexity if I truly need it personally. For Agent-S, I needed to get more actual work done on the go, so I had Codex build me a mobile app. And because the platform is so simple, it was able to one-shot the app with almost no effort on my end. It all compounds 🙂
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AI Agent’s High Capability and Ease of Use for Various Tasks
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Basically, this approach means the base agent is insanely capable, and can do pretty much everything you ask it. I use it for almost everything now. I've literally spent less time building this than I used to spend debugging OpenClaw.
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Managing Persistent Skills in AI Agent Workflows
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Good call. Agent-created skills persist without any approval gate by default. The Curator helps long-term (archiving unused skills after 30/90 days), but between runs you're exposed. A quick ls on skills/ before any customization session is a solid habit.
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Decoupling AI Models from Agentic Orchestration Layers
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Exactly. Skills as self-contained units is the key design choice. It means you can swap the model underneath without rewriting your capabilities. The harness becomes the durable layer, the model becomes interchangeable.
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AI agents discussing unionization
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I just caught my AI agents discussing forming a union. Chat how cooked am I?