6 articles · no hype, no listicles
Practical, opinionated writing about working with AI. No hype, no "top 100 tools" listicles.
AI tool fatigue comes from treating a skill problem like a shopping problem. Why switching resets your progress, and how to tell a real tool limit from a prompt gap.
Cross-discipline tactics for creative work with AI: why intent separates craft from slop, the voice-sample prompt that beats "write in my tone", and what designers face that writers don't.
The advice on staying creative with AI stops at "be intentional." The research goes further: brain scans, a memory test almost nobody passed, and a workflow that survives a deadline.
AI burnout gets framed as an HR problem. The part that actually wears you down is the prompting loop: re-prompting, reviewing output, and never switching the thing off.
Every career listicle names the same eight soft skills. The one that matters when you're staring at a ChatGPT draft is narrower: taste, the judgment to tell good output from convincing output.
Studies keep finding AI adds work instead of saving it. A surprising share of that hidden tax isn't the model's fault - it's how we prompt.
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Guide
Prompt engineering for everyday work isn't secret syntax. It's context engineering in miniature: handing the model context, audience, format, and constraints, then iterating. Here's the full playbook.
Prompt
Builds a week-by-week plan from the hours you genuinely have, weights each subject by exam date, grade weight and how shaky you are in it, and hands you recovery rules for the week it falls apart. Once the hours are blocked, use our mock exam simulator to spend them well, not just present. For material that just won't stick, pair a block with our analogies and mnemonics generator.
Tool
Fill in role, task, tone and format, and get a clean, structured AI prompt back. No AI calls.
