Iris.ai

Open the official Iris.ai product and start with one concrete task that matches its core purpose: AI research platform for scientific literature discovery, extraction, summarization, and knowledge processing. Use real notes, papers, recordings, course material, or trip requirements rather than a generic demo so the test reflects your actual workflow.

Provide only the context the product needs. For research and study tools, upload or select trustworthy source material and keep source-grounding features enabled where available. For meeting tools, confirm recording consent and calendar settings. For travel tools, specify dates, budget, pace, interests, and constraints before accepting an itinerary.

Review the generated result critically. Check citations, quotations, dates, names, calculations, and recommendations against primary sources when they matter. Use quizzes or tutoring modes actively rather than treating generated answers as a substitute for learning, and edit meeting notes or travel plans before sharing them.

Before relying on the product regularly, test export, collaboration, privacy, retention, and integration behavior. The catalog currently classifies its pricing model as contact, but plan limits can change, so verify current terms on the provider's site.