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I Wish I Knew This Before Building an AI Second Brain
Most AI second brain setups fail because the vault isn't built for it. This covers the structure, linking scheme, and agent protocol that actually make it work.
3 days ago14 min read


Seamless Content Ingestion for Claude-Obsidian Second Brain
There's been a lot of excitement recently around building a 'Second Brain' using Claude and Obsidian. Unfamilliar? Read my Claude Code or Obsidian Guides. Just make sure you come back and finish this article after :) For those who missed it, this idea was popularised by Andrej Karpathy and involves building a Wikipedia-style set of interconnected notes which can then be navigated and searched by AI agents. This means that we don't have to provide AI agents the same context ov
Apr 229 min read


Few-shot prompting Vs. Zero-shot prompting. Which approach and when?
Most prompts don't need examples. This explains what few-shot prompting does, why examples help models, and when to actually reach for them.
Apr 204 min read


How I Built an AI-Powered Task Management System with Obsidian and Claude Code
I built an AI-powered task system in Obsidian using custom Claude Code skills. This covers context engineering, note types, and the morning briefing automation.
Apr 88 min read


Role prompting - Giving AI a Persona
"You're an expert X." "Act as a Y" Role prompting is one of the most widely repeated tips in AI circles. The underlying idea is that if you assign the model a job title or area of expertise, it will respond more like a person who holds that role, making it more relevant, more precise, more expert-sounding. The research on whether that actually holds up is more nuanced than the advice suggests. And the nuance is important if you want to try this out yourself. What is role prom
Apr 35 min read


AI's Blindspot: The 'Lost in the Middle' Effect
AI models struggle to recall information in the middle of long documents. It's a positional bias called the Lost in the Middle Effect. Here's how to fix it.
Mar 224 min read


Tokens and Context Windows: What They Are and Why They Matter
Tokens are how AI measures text. Context windows are working memory. When they fill, earlier content disappears. Here's what that means and how to manage it.
Mar 214 min read


Claude Code: Everything you need to know in 8 minutes or less
Claude Code works directly on your files, runs code, and manages tasks without you needing to be a developer. Here's what you need to know to use it well.
Mar 218 min read


Level-up your AI Agent with Skills Engineering
Skills are reusable instruction sets for AI agents - write once, the agent uses them on demand. Covers structure, loading logic, security, and authoring tips.
Mar 58 min read


Getting Started with Agent Skills
Write Once, Use Forever. Think about the last time you explained your workflow to a new hire at work. You probably didn't just hand them a list of tools and wish them luck. You walked them through the process, explained why things work the way they do, and maybe showed them an example or two. Three weeks later, they're flying solo. AI can't do that. At least not out of the box. Every conversation starts from scratch. There's no memory of how you like things done, no recollect
Mar 57 min read


MCP Servers: Giving Your AI Agent New Capabilities
MCP servers let your AI agent read from and act on external services without manual copy-pasting. Covers setup, authentication, and when to build your own.
Mar 54 min read
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