The Feed — Jdhwilkins

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.

Getting Started with Agent Skills

Agent skills let you brief your AI once and have it work your way every time. Learn what they are, how to write them, and where to find ready-made ones.

Exploring AI in Animation: My Journey with VibeManim

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

Getting Started with AI: The Fundamentals of Prompting

Prompting is a skill. This covers what an effective prompt includes - context, task, constraints, format, and examples - plus five techniques to get started.

Forget "Think step by step", Here's How to Actually Improve LLM Accuracy

"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.

Using AI to Map Legacy and Inherited Code: A Practical Guide

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

The pitfalls of over-reliance on AI for self-directed learning

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

How Far Can You Push Excel with Regex?

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

Convolution, Kernels & Filters: A Beginner’s Guide to Edge Detection

Edge detection is how machines find structure in images. This beginner's guide starts with one-dimensional examples and builds up to convolution kernels and filters.

Still copy-pasting into ChatGPT? Here’s how to turn your ideas into AI-powered apps

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

You’re using ChatGPT wrong. Here’s how to prompt like a pro

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

22/7 and the Approximation of Irrational Numbers

Unlock the math behind 22/7! Learn how continued fractions generate increasingly accurate rational approximations for irrational numbers like pi

Formal Grammars – The Hidden Mathematics of Language

Explore the math behind language. Learn how formal grammars shape speech, code, NLP, and the rules machines use to understand us.

Higher Mathematics: Sets and Notation

Master set theory: definitions, notation, set operations (union, intersection), and common sets. Essential concepts for higher mathematics.

Model Evaluation: Why Accuracy Isn’t Enough

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

Mountains, Cliffs, and Caves: A Comprehensive Guide to Using Perlin Noise for Procedural Generation

Minecraft generates unique worlds with Perlin noise. Covers the algorithm, octaves, and Fractal Brownian Motion - with a terrain implementation walkthrough.

From Love to Logic: How Algorithms Decide Our Matches

Explore the Gale-Shapley Algorithm and the Stable Matching Problem. Learn how algorithms create stable pairings, not just perfect matches.

The Impossible Bridges of Königsberg

Learn how to find an Eulerian Path using Graph Theory and the degree of a vertex. Discover the solution to the Bridges of Königsberg puzzle.

Surviving the First Year of Your Math Degree

Essential tips for math degree survival at university. Master notation, proofs, and the shift from high school to degree-level mathematics.

Information at a Glance: Do Your Charts Suck?

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