Practical AI Guides for Everyday Work
AI has moved from a curious demo into everyday work: writing, coding, research, design, decisions, and creative tools we now reach for almost without noticing. Howai helps makes that shift clearer with practical AI articles, real experiments, useful examples, and calm explanations without the fog.
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Latest AI Articles and Experiments
What is your agent's IQ?
Six AI coding agents got the same visual IQ test: Claude Opus in Cowork and Code, Claude Sonnet, and three Codex runs on different plans. I tracked not only the final score, but also time, context, browser behavior, and how much of the usage limit each run burned. The surprise is not just which agent won — it is how different their problem-solving methods looked when the puzzles stopped being language and turned into tiny shapes.
Four AI video models, one tough prompt
One deliberately difficult AI video prompt went into four models: Seedance 2.0, Kling v3 Pro, Veo 3.1, and Wan 2.7. The test asks for a first-person parachute jump, real height, a clear landing target, and a messy splash into a muddy puddle — exactly the kind of scene where pretty frames are not enough. The article compares realism, prompt-following, safety filters, render time, and cost, then shows which model actually understood the whole idea.
Think like a developer, get more from AI
Developers often get better results from AI, but the advantage is not secret syntax or a bag of prompt tricks. It is a practical way of thinking: define the result, give examples, test weak spots, compare tradeoffs, and iterate instead of accepting the first answer. This article turns that developer mindset into a simple AI workflow that writers, founders, marketers, analysts, and operators can use to get clearer, less generic output from everyday tools.