Practical insights on prompt engineering, AI workflows, and getting better results from every AI tool you use.
AI labs keep shipping more powerful models and telling you exactly how to use them. Most people still never read the manual. Here's why that gap isn't closing on its own, and what has to fill it.
A tweet from OpenClaw's creator hit 6.5 million views for saying you should stop prompting agents and start designing loops. Here's what that actually means, and how to do it.
Anthropic and OpenAI just published two completely different official prompting guides for their own models. If the labs can't agree on one template, no template you copy off a blog will hold up either.
When Fable 5 got expensive, Anthropic's own fix wasn't shorter prompts. It was routing execution to cheaper Sonnet 5 subagents. Here's what that reveals about real token optimization.
A prompt written for ChatGPT will fail in Cursor. One built for Claude will confuse Gemini. Here's why tool-aware prompting matters and how to adapt your instructions to each AI.