Emergent AI
Emergent AI is a platform that enables users to build full‑stack applications through natural language input. By describing a project, users can direct AI agents to handle coding, testing, and deployment processes automatically
Orchids
Orchids -> create websites without writing code.
Clear Promises Matter More Than “Powered by AI”
“AI isn’t a value — clear product benefits are.”
When building digital products, a clearly defined value proposition is essential.
Crafting Effective Use‑Case Prompt Suggestions in AI Interfaces
Use‑case prompt suggestions are examples of well‑crafted prompts shown within many AI tools. They are intended to help users—often beginners—understand how to interact with the system. Unlike follow‑up suggestions or autocomplete features, these prompts focus on learnability, showing what the tool can do and how to use it effectively.
Potential Pitfalls of Using Generative AI in UX and Research
Generative AI (GenAI) capabilities are now integrated into nearly every tool used by designers and user researchers, and new features are being released rapidly. These tools can increase efficiency but also introduce significant risks related to design quality, research integrity, intellectual property, and usability.
When AI knows how to Ask the Right Questions , Learning to Ask Questions Through the UACME Framework
A growing body of research suggests that true collaboration between humans and artificial intelligence will depend less on producing better answers and more on asking better questions. A new framework called UACME is now being introduced to address this challenge, focusing on the rhythm and timing of interactions between users and AI systems.
Designers Move Beyond Interfaces to Shape and Build Products in the AI Era
A recent shift in the design industry is redefining how products are conceived and delivered. Designers, traditionally focused on crafting interfaces and improving usability, are increasingly moving into roles that involve building and implementing solutions directly—often enabled by artificial intelligence (AI) tools.
Becoming an AI‑First Product Leader
how product leaders can adopt an AI‑first approach by defining clear objectives, selecting appropriate algorithms, and ensuring high‑quality data. It highlights mindset shifts, data strategies, and future automation trends in AI product management.