7 articles tagged with “productivity”.
Marketing was among the first business functions to adopt generative AI at scale. Here is where it delivers — content, personalization, analytics — and the quality and brand risks to watch.
AI promises every student a patient personal tutor — and hands every student a way to skip the work. Here is where AI genuinely helps in education, and the integrity questions it forces.
Most people get mediocre answers from AI because of vague prompts. A few simple techniques — being specific, giving examples, and asking for step-by-step reasoning — reliably improve results.
Cursor rethinks the code editor around AI rather than bolting AI onto one. With codebase-aware chat and multi-file edits, it pushed the 'AI-native IDE' idea into the mainstream.
Perplexity answers questions with concise, cited summaries drawn from the live web — positioning itself between a search engine and a chatbot. Here is what it does and where it fits.
AI coding assistants are the most widely adopted enterprise AI use case so far. Here is where the gains are real, where teams get burned, and what a sensible rollout looks like.
The three major AI assistants are closer in quality than the marketing suggests — which means your choice hinges on ecosystem, workflow, and use case. A practical decision framework.