I recently came across a genuinely useful idea on Tom's Guide about using an “onion prompt” with AI to organise your schedule when you’re overwhelmed. If you haven’t seen it, I’d strongly recommend reading the original article — it explains the thinking behind the method and the psychological principles that make it effective: https://www.tomsguide.com/ai/i-use-the-onion-prompt-with-chatgpt-when-im-buried-in-tasks-it-cuts-through-clutter-in-seconds How I’ve adapted it I’m using Google Gemini rather than ChatGPT, and I used my task list from Google Keep instead of viewing my desktop. The tools are little different (but not too much), but the central ideas are the same: strip away the layers hiding your real priorities and let AI “peel back” your to-do list until only what truly matters remains. To make it easier, I copied my Google Keep list into a Google Doc and pasted it into the prompt. Prompt 1: Prioritising with the “Onion” Method Here’s the version I’m using (slightly adapt...
Imagine buying complex furniture, but the instructions are a chaotic pile of sticky notes. That is exactly how programmers feel when trying to connect different web services (like weather apps or payment processors). They usually have to dig through messy documentation just to make two programs talk to each other. The OpenAPI Specification (OAS) fixes this by acting as a universal, standardised "Instruction Manual." Why It Matters OpenAPI acts as a perfect bridge between humans and machines: For Humans: It provides a clear map of what a service does, what information it needs, and what it returns. For Computers: Because the rules are strict and predictable, software can "read" the manual and automatically connect to the service. What Can You Do With It? With an OpenAPI blueprint, developers can plug into tools that do the heavy lifting for them: Create Visual Guides: Turn complex code into sleek, interactive websites where users can test the service with the cli...