AI Expedition: Competitive UX Audit
Using AI Can Help Streamline and Enhance UX Competitive Audits
Using AI Can Help Streamline and Enhance UX Competitive Audits
Pull requests do more than improve code quality. They expose how a team shares context, distributes ownership, and makes decisions. By looking at patterns in PR size, review participation, and response time, teams can better understand their dynamics and values in practice.
The best design systems don’t choose between consistency and flexibility — they make room for both.
Great UX isn’t only the result of big research projects or major redesigns. It’s often shaped by the small habits designers practice every day.
If you try asking an LLM something specific about the content and data that matters to you every day, you may receive an answer even if the LLM doesn’t actually know. RAG workflows can reduce hallucinations and guesses by providing an LLM with contextually-specific data and expert know-how.
We had a terrific UnConference in February focused on the intersection of AI and Human Expertise. If you weren’t able to join us, you can find everything on YouTube. Links below!
Although AI is often seen as a tool for increasing speed, its real value lies in the space it creates for judgment, collaboration, and intentional work.
What’s the difference between agents, models, and tools? How do they all work together?
Sparkbox is gearing up for an UnConference online learning event focused on the intersection of AI and human expertise.
What are AI agents, and what can they be used for?

Katie Jennings
Vice President of Business Development