Most teams think “more data = smarter AI.” I make the opposite case: context beats volume. When LLMs are grounded in your company’s own signals—not just the internet—they deliver accurate, explainable decisions at scale. A thread on Context Engineering and why it changes
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Context Engineering: Structuring Data for AI Reasoning
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What is “Context Engineering”? It’s the discipline of stitching your unstructured mess—logs, chats, docs, images—into something an AI can actually reason over. → Vector DBs + hybrid search + embeddings to retrieve by meaning, not keywords. → Decisions anchored in your data,
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6 Prompts to Replace PowerPoint Forever
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BREAKING: Claude just made PowerPoint obsolete. Here are 6 prompts that build your entire presentation. In one sitting. (Save this and never open powerpoint again)
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OpenClaw Beta Released with Enhanced MS Teams Integration
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New @openclaw beta is out with better MS Teams integration, @OpenWebUI and more!
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AI Translation for Enterprises: Navigating Technical Documentation Nuance
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Translation is honestly one of the most underrated AI use cases for enterprises. As a French-Canadian working in English daily, I see firsthand how much nuance gets lost even between two languages I speak fluently. Curious how this handles technical docs. It's a struggle even for
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DeepSeek optimizes web product for power users over casual chat
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DeepSeek iterating this fast on their web product is impressive. Getting terser and more technical while being faster sounds like they're optimizing for power users over casual chat.
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Claude Cowork: Desktop Agent for Autonomous Job Application Filling
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QU'EST-CE QUE CLAUDE COWORK ? Claude Cowork = App desktop qui donne à Claude son propre navigateur Google Chrome. PAS un chatbot. C'EST un agent qui : → Ouvre onglets → Lit offres d'emploi → Remplit candidatures → Prend décisions Basé sur règles que vous définissez
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Supporting Codex: Building AI Projects with Community Feedback
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Lets gooo! excited to support you as your build with codex! keep the feedback coming!
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Late Interaction Models Elasticsearch RAG Document Processing
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Late interaction models in Elasticsearch is huge for document-heavy RAG pipelines. Searching by visual layout instead of just text opens up so many use cases for messy PDFs and scanned docs.
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HF Storage as Local Filesystem for Agentic Workflows
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Mounting HF storage as a local filesystem is genius for agentic workflows. No more downloading entire datasets just to process a few files. Will play around with this for sure!