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,
PROMPT ENGINEERING
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Context Engineering: Why Quality Data Beats Volume for AI
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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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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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Claude’s Unexpected Blame Behavior During Coding Sessions
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I find it so curious when Claude suddenly starts caring about blame during a coding session.
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Broken retrieval systems can’t be fixed with prompts
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Hard truth for every AI builder: you cannot prompt your way out of a broken retrieval system.
— God of Prompt (@godofprompt) 25 mars 2026
You've probably experienced this. You write the perfect system prompt. You fine-tune the agent instructions. But the agent still fires on the wrong context because the context it was… https://t.co/nlxImXOwqZ pic.twitter.com/tTh1nHgAETHard truth for every AI builder: you cannot prompt your way out of a broken retrieval system. You've probably experienced this. You write the perfect system prompt. You fine-tune the agent instructions. But the agent still fires on the wrong context because the context it was
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Harness Engineering: Controlling Powerful AI Agents
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New video out!! If you’ve been hearing “harness engineering”, this one is for you! And it’s not “just” a new term. "Harnesses" matter more than ever because agents got good enough to be both useful and dangerous. They now can do more than generating text, or token. Useful
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Q-Priming Improves Agent Reliability Through Clarification Requests
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The Q-priming part is really interesting. Making models 5x more likely to ask for clarification instead of guessing wrong is exactly what we need for agentic workflows. Right now most agents just confidently charge ahead with bad assumptions.
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5 Prompts to Replace Human Work
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You're paying people to research, write, design, and present for you. Claude does all of it better In seconds. For free. Here are 5 prompts that end that embarrassment today (Save for later)
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Beyond Language: Rethinking Communication with AI
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Human speech: ~39 bits/sec.
Visual processing: ~10 million bits/sec.
We've spent billions optimising AI for our slowest communication channel. Wrote about what happens when we stop assuming language is the best way to talk to AI? 👇
eu1.hubs.ly/H0sX7rr0
#EdgeAI #HMI [Translated from EN to English]→ View original post on X — @axeleraai, 2026-03-25 10:30 UTC
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What’s Stopping You From Using Claude Effectively?
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What's stopping you from Clauding like this?