/4 HyperExtract turns messy documents into actual knowledge systems. It is an LLM-powered framework for converting unstructured text into strongly typed Knowledge Abstracts. It can extract simple lists, Pydantic models, knowledge graphs, hypergraphs, and spatio-temporal graphs.
AUTOMATION
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MinerU parses ugly documents into clean Markdown and JSON for LLM workflows
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/5 MinerU parses ugly documents into clean Markdown and JSON for LLM workflows. It supports PDFs, DOCX, PPTX, XLSX, images, and web pages through a VLM + OCR dual engine. It can handle scanned docs, handwriting, formulas to LaTeX, tables to HTML, multi-column layouts, and
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Loop engineering automates coding agent workflows
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/2 Prompting agents by hand is starting to look outdated. Loop engineering is a framework for turning coding agents into repeatable workflows. Instead of prompting Grok, Claude Code, Codex, or Cursor one step at a time, you define a recursive goal and let the agent iterate with
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Build AI to Replace Repetitive Job Tasks and Unlock Potential
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You should build the AI that replaces parts of your job.
— Bernard Marr (@BernardMarr) 26 juin 2026
It sounds provocative, but it’s a practical way to stop wasting human potential on repetitive work. AI can already take on tasks like qualifying leads, answering the same customer questions, moving data between systems,… pic.twitter.com/rVuuY5uFaxYou should build the AI that replaces parts of your job. It sounds provocative, but it’s a practical way to stop wasting human potential on repetitive work. AI can already take on tasks like qualifying leads, answering the same customer questions, moving data between systems,
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Critique of Hiring AIs Over Humans
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You multiply the reasons why it's better to hire AIs than humans Cheaper
Never complain
Always happy
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AI on the Assembly Line: Instant Potato Counting with Minimal Training
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#AI on the Assembly Line: Instant Potato Counting with Minimal Training
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Securely monitor long-running agents from your phone
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4/ The cherry on top!
— Charly Wargnier (@DataChaz) 26 juin 2026
You can securely monitor long-running agents from your phone (works on both iOS and Android)
.. while the session keeps running locally on your machine 🔥 pic.twitter.com/k1ybWW1ntK4/ The cherry on top! You can securely monitor long-running agents from your phone (works on both iOS and Android) .. while the session keeps running locally on your machine
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RMUX: True multiplexer for agent-based workflows with dynamic panes
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3/ because RMUX is a true multiplexer first, you aren't just launching a fragile web wrapper. You get a real environment perfectly designed for modern, agent-based workflows. → Safely inspect long-running AI shells
→ Resize splits and manage panes dynamically
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Loop Engineering: Building Systems That Prompt Agents Instead
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A SENIOR ANTHROPIC ENGINEER JUST DROPPED AN 11-PAGE PDF ON LOOP ENGINEERING. The core shift: stop prompting the agent. Build the system that prompts it. Inside the autonomous loop: – Discover → Finds its own work (failing CI, open issues).
– Isolate → Uses separate git -
CoffeeBench: Cooperation and Competition among LLM Agents
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In CoffeeBench, 6 agents interact via emails or transactions, each company aiming to maximize its profits. When the company where LLM agents manage operations arrives, how will cooperation, competition, and sometimes the