Why Your AI Agent Ignores Your Team's Conventions

You typed the rule in chat three times and the agent still broke it. Chat is for the current task. Project rules live in AGENTS.md. Yours is empty.

Edit, Restore, or Handoff: The Three Reset Moves Every Agent User Needs

Three things break an agent session: a wrong turn, a drifted conversation, a thread that grew too big. Three different moves fix each one. Picking the wrong move wastes time.

Why Phase-Locked Workflow Breaks When the Agent Learns Mid-task

Traditional workflow forces phases. You cannot go back. You cannot test individual pieces. Real work does not happen in phases. The fix is actions you take anytime, in any order.

Prompt Iteration: Fixing Prompts That Don't Work

Your first prompt rarely gives perfect results. Learn three practical techniques to iterate and improve your prompts until the AI gives you exactly what you need.

Prompting Basics: How to Write Clear Instructions for AI

Learn the fundamentals of writing prompts that get good results, from asking questions to giving tasks, setting constraints, and controlling the format of AI responses.

Why Your AI Agent Gets Dumber After 30 Minutes

The model did not get worse. Your context filled up. Every token in the window influences every output, and the noise is now winning.

Which Artifact to Update When the Agent Gets Confused

You open a change folder. Four artifact files. You do not know which to update when the design was wrong. Most teams guess. Artifacts drift out of sync. The fix is knowing what each is for.

Why Your AI Coding Agent Forgets Every Decision You Made

You asked for the same feature twice and got two different implementations. The problem is not the model. It is that your decisions only live in chat history.

Zero-Shot vs Few-Shot: Teaching AI with Examples

Discover the difference between zero-shot and few-shot prompting, and learn how giving AI a few examples can dramatically improve the quality of its responses.