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.
Less hype. More help. A small lamp is doing its best.
Don't wait for the feature — change the app yourself
I wanted one feed for unread Telegram posts. I described it in ordinary language, connected a phone, and later wrote only “Run the latest version on my phone.” Claude handled the Android engineering; that evening I used my own build.
What is your agent's IQ?
Eight AI coding agents took the same visual IQ test. GPT-5.6 SOL scored IQ 126 in 8 minutes 45 seconds using a hybrid agent workflow; Claude Fable 5 scored IQ 121 in 57 minutes using direct visual and pixel-level analysis.
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.