Step-by-step AI guides written for real work, with examples, caveats, and safer ways to use modern tools.
Most AI-generated podcast show notes sound like every other podcast in your category. Here's the workflow that actually produces something worth reading: a clean transcript, a prompt that fights the generic-podcast voice, and three checks before you publish.
Read the article →
AI is decent at code review and confidently wrong on the parts that matter. Here's what to let the bot catch, what to never trust it on, and the workflow that actually works.
Read the article →
The RTX 5090 launched at $1,999 MSRP. Sixteen months later, the street average is $3,658. Here's where MSRP cards still exist, the stock-tracker tools that actually work, and what to never pay.
Read the article →
Claude and ChatGPT get treated as interchangeable writing tools. They aren't. Where each one actually earns its place, and a 10-minute test to figure out which is right for your kind of writing.
Read the article →
AI is great at the math of personal finance and bad at the decisions. Here's what to hand it, what to keep away from it, and a monthly workflow that takes fifteen minutes.
Read the article →
Most AI travel itineraries read like a guidebook from 2014. A practical workflow for turning ChatGPT, Claude, and Perplexity into a real research assistant instead of a generic tour guide.
Read the article →
Every AI slide tool promises a beautiful deck in thirty seconds. Most deliver something that screams "AI made this." Here's a two-pass workflow that actually works.
Read the article →
Three tools, three jobs. Where Copilot, Cursor, and Claude Code actually earn their seat in your editor, and where each one falls down.
Read the article →
Most company data leaks aren't dramatic hacks. They're somebody pasting a client contract into a free ChatGPT tab. Here's the practical playbook for using AI at work without becoming the next case study.
Read the article →
AI lies confidently. The workflow I use to catch hallucinated citations, fake stats, and made-up version numbers before they reach a client deliverable.
Read the article →
A head-to-head on Otter vs Fathom for the kinds of meetings most people actually have. Which one to pick depends less on features and more on whether you live in a CRM or a calendar.
Read the article →
Most "AI meeting notes" advice ends with you babysitting a transcript. Here's the workflow that actually saves time, the four tools worth knowing, and the prompt that makes any of them work better.
Read the article →