From symptom-based questions to software comparisons, see how user prompts influence what AI systems choose to surface.

I test AI for a living and just about every AI tool from ChatGPT and Gemini to Claude and even DeepSeek have significant features that I enjoy using. However, one tool that I keep returning to every ...

AI answers are variable, but measurable. Use repeated runs, confidence intervals, and journey tracking to separate signal from noise.

Ever since ChatGPT’s release in late 2022, we’ve become increasingly reliant on generative AI for research and creative tasks. However, modern AI chatbots are notoriously prone to generating ...

In February, days before the Super Bowl, Aravind Srinivas, CEO of AI search startup Perplexity, gave users a sparkly incentive to install its app. He posted on X that instead of buying a Super Bowl ad ...

Prompt engineering is the process of crafting inputs, or prompts, to a generative AI system that lead to the system producing better outputs. That sounds simple on the surface, but because LLMs and ...

Perplexity uses icons to simplify navigation across web and mobile, covering prompts, voice input, model selection, sharing, sources, and task automation. Key symbols include plus (tools/upload), mic ...

New AI-powered web browsers such as OpenAI’s ChatGPT Atlas and Perplexity’s Comet are trying to unseat Google Chrome as the front door to the internet for billions of users. A key selling point of ...

Prompt engineering is the process of structuring or creating an instruction to produce the best possible output from a generative AI model. Industries such as healthcare, banking, financial services, ...