AI Deep Dives

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.

With the building a Second Brian boom, a lot of people have started opening Obsidian for the first time recently. If that is you, welcome. The app is free for personal use, but it has a learning curve that is steeper than most note-taking tools, and the documentation assumes a level of familiarity that can make the first few hours genuinely bewildering. This guide covers the foundations: what Obsidian is, why people use it, and the core concepts you need to understand before

AI-generated articles and AI-assisted writing aren't the same thing. Four practical techniques for using Claude as feedback, without losing your own voice.

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

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.

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.

Testing LLMs on Manim animation code reveals where spatial reasoning breaks down. Four models, the same prompts, progressively harder challenges.

"Think step by step" used to reliably improve AI outputs. Modern reasoning models handle this internally. Here's what that means for how you should prompt now.

Master AI-driven code mapping with this 4-step guide to navigating legacy projects. Turn complex code into clear diagrams and actionable documentation.

Do you over-rely on AI? Understand the risks of using AI for self-directed learning. Struggle productively. Reclaim your critical thinking.

Learn how to use regex pattern matching in Excel for advanced data cleaning, text extraction, and analysis.

Learn to build AI-powered apps using LLM APIs. This beginner’s guide covers prompt engineering, function calling, and creating custom AI tools.

Six advanced prompting techniques that improve ChatGPT outputs: roleplay, decomposition, chain-of-thought, tree-of-thought, shared context, and agreeableness.

Learn why accuracy fails in imbalanced data. Master essential model evaluation metrics: Precision, Recall, and the F1 score for robust ML classification.

Master data visualization: use pre-attentive features, Gestalt theory, and proper visual data encoding to create clear, effective charts

Build a Strava heatmap using the Python API for custom GPS route visualization. Filter by type and date range for advanced data analysis.

Beginner’s guide to the Strava API with Python. Use OAuth2 for authorization and get activity data. Handle access tokens and usage limits.