Daily AI CatchupArticles
The daily brief tells you what happened. These explain the ideas underneath it — one concept at a time, in plain English, each with a two-minute game so it actually sticks.
EXPLAINERThe Prompt Habit That's Quietly Wasting Your Tokens
A prompt isn't a letter to a person, it's a set of instructions read by a system that treats every word the same, whether it's the actual task or three sentences of throat-clearing. Softeners and pep talks cost tokens and give the model nothing to act on. Concrete, checkable specifics are what actually change the output.
2 min read · includes a 2-min game 🎮
EXPLAINERWhy Your AI Assistant Keeps Breaking Its Own Rules
A rule an assistant can talk itself out of isn't a rule, it's a suggestion. Most broken system instructions fail for one of three structural reasons: they're unenforceable, they contradict another rule, or they include their own escape hatch. Fixing them means finding the structural problem, not adding more emphatic wording.
2 min read · includes a 2-min game 🎮
EXPLAINERWhat Actually Makes Something an "AI Agent"
A single call to a model — you send text, it sends text back — isn't an agent, no matter how good the answer is. What makes something agentic is a loop: the model takes an action, sees what actually happened as a result, and decides what to do next based on that, not a script written in advance.
2 min read · includes a 2-min game 🎮
EXPLAINERWhat an AI "Skill" Actually Is
A skill is a packaged bundle of instructions — sometimes with scripts or templates attached — for doing one specific kind of task well. The point isn't the bundling. It's that an agent can have dozens of skills available at once without any of them costing context until the moment one is actually needed.
2 min read · includes a 2-min game 🎮
EXPLAINERWhy "Use the Smartest Model" Is Bad Advice
AI providers ship several model tiers on purpose — fast and cheap, balanced, and heavy reasoning. Reaching for the biggest one out of habit costs you time and money on tasks that never needed it, and reaching for the smallest one on a task that genuinely needs multi-step reasoning gets you a confident wrong answer instead of a slow right one.
3 min read · includes a 2-min game 🎮