Tag
AI
9 articles tagged "AI".
- The AI Access Ladder: a framework for responsible AI use in learning We did not ban AI. We built a ladder instead: five levels of access, from no-AI fundamentals to full delegation, matched to what a learner is actually trying to build. The decision rules, the science of desirable difficulty, and the honest results, including the failures.
- The quiet power of Claude Code hooks Hooks are the part of Claude Code almost nobody turns on: small shell commands that fire at fixed points in the agent's loop, so you can auto-format every edit, block a dangerous command before it runs, or ping yourself when a task finishes, deterministically, without asking the model to remember. A look at what they are, where they live, and three I keep switched on.
- Prompting for general tasks: common mistakes and how to fix the answer Most bad AI answers come from the same handful of prompt mistakes: vague ask, missing context, no example, no format. This is the anatomy of a prompt that works, a short taxonomy of the errors people actually make, and a symptom-to-fix table for repairing a response instead of starting over.
- Vibe coding vs engineering: where is the line? Vibe coding is real and it works, for the right things. A field guide to the spectrum between talking a feature into existence and actually engineering it, the stakes-by-lifespan matrix that tells you which one a task deserves, and one rule that survives contact with production: you can vibe what you could verify.
- Becoming AI-fluent: a learner's playbook for the 4Ds Knowing the 4D framework is not the same as living it. This is the implementation side: why AI fluency matters for learners now, what changes when you build the habits versus when you don't, and a per-session and four-week routine that turns Delegation, Description, Discernment, and Diligence into reflexes.
- The 4D framework: a learner's map for working with AI Anthropic's AI Fluency course teaches four habits (Delegation, Description, Discernment, Diligence) for working well with AI. Here is what each one means, the sub-skills inside it, and why a learner who internalises the 4Ds gets more from AI without quietly outsourcing their own understanding.
- Connect Claude to your Zotero library with a local MCP server A step-by-step guide to wiring Claude into your own Zotero library with a local MCP server. Search, summarise, and pull quotes from your papers in plain conversation, with every hop staying on your machine.
- Run your Linear board from Claude Code: set up the Linear MCP Linear ships an official hosted MCP server, so wiring it into Claude Code is one command and a browser sign-in, with no install and no API key. This is a plain, step-by-step guide to connecting it, confirming it works, and using it for real project management without letting it loose on your tracker.
- Let Claude Code set up the Zotero MCP for you: a prompt-first guide You do not have to install or configure anything by hand. With Claude Code in auto mode, you prompt and it does the work. This is a plain, step-by-step guide to the prompts, the checks, and confirming the connection on both macOS and Windows.