Stop Scrolling, Start Upgrading: 5 AI Reads You’ll Use Today

1) ChatGPT Power-Ups: 42 “Secret Commands” You’re Probably Not Using

Most people only scratch the surface of ChatGPT. This guide rounds up dozens of prompt patterns that turn it into a sharper researcher, editor, planner, and coding buddy—so you get better results with fewer retries.

Takeaways

• Use structured prompts (role, constraints, examples) to get consistent, on-brief outputs.

• Turn tasks into commands—tables, checklists, timelines, critiques—to shape the format you need.

• Build “reusable prompts” for research, email drafts, lesson plans, or meeting notes.

• Add verification steps (ask for sources, edge cases, counterpoints) to boost accuracy.

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2) “Vibe Coding”: Build Software by Describing What You Want

Vibe coding is all about shipping faster: you explain the outcome in plain English, let AI scaffold the code, run it, then nudge the model with small corrections. It’s a practical way for non-experts (and pros on a deadline) to prototype quickly.

Takeaways

• Workflow: describe intent → generate → run → fix → repeat.

• Great for prototypes, internal tools, data scripts, and UI tweaks.

• Guardrails help: tests, linters, and a “done means done” checklist.

• Watch out for hidden complexity and reproducibility—document your steps.

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3) Perplexity Superpowers Most Users Miss

Beyond simple answers, Perplexity packs features that speed up research—advanced modes, smart follow-ups, richer citations, and power tools that many folks never turn on. This piece shows where they are and how to use them.

Takeaways

• Use advanced search modes and cited sources to verify claims.

• Keep multi-step investigations in threaded follow-ups (no more copy-paste chaos).

• Save and organize findings for later reference.

• Explore experimental/labs features to try new reasoning models and workflows.

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4) Lost in the AI Tool Maze? A Simple Survival Guide

So many AI apps, so little time. This guide gives a no-nonsense way to match your task (write, code, image, video, audio, summarize, translate) with the right tool—plus checklists for privacy, budget, and accuracy.
Takeaways

• Start with goals: speed, quality, or cost—pick one primary target.

• Shortlist tools by task category, then test with the same sample input.

• Check data-handling (privacy, export options, on-device vs. cloud).

• Keep a “working stack” of 3–5 tools you know well.

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5) Students: Smarter or Just Dependent on AI?

This read asks a timely question for schools and parents: AI can boost speed and confidence, but does it weaken deep thinking? The article weighs both sides and suggests practical classroom guardrails. (

Takeaways

• Use AI as a coach, not a crutch—insist on reasoning steps and reflections.

• Update assessment styles (oral checks, drafts, source logs) to reward original thinking.

• Teach AI literacy: prompts, bias checks, and when not to use the tool.

• Close the access gap so benefits reach every learner.

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If any one of these sparks an idea, you’ll love the rest—dive in and explore all five.