How to Navigate the AI Blind Spot
Using AI without really understanding it creates real risks for your business. This article breaks down what those risks look like, how they can snowball, and six things you can do to get ahead of them.
Artificial Intelligence
19 Results
Building AI Skills: What I’m Learning
Building AI skills taught me that the most valuable part is not the prompt itself, but the thinking, structure, and refinement behind it.
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Beyond the Vibes: AI-Assisted Development
AI coding tools are making it possible to build software faster than ever before. But speed alone is not enough. Leveraging AI alongside good development practices helps us move faster without sacrificing quality.
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AI Expedition: How to Train Your Agent
AI agents are only as good as the context you give them. To shape how your agent behaves and what it knows how to do, there are two concepts at your disposal. Rules and skills allow you to spend less time repeating yourself and more time getting better results.
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AI and the New Polyglot Wave
By framing the current landscape as a “New Polyglot Wave,” I’ve moved past the anxiety of finding the “perfect” tool. Instead, I focus on building an intentional workflow where the best AI tool is sometimes three (or none).
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AI Expedition: Competitive UX Audit
Using AI Can Help Streamline and Enhance UX Competitive Audits
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AI Expedition: RAG
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.
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UnConference Video Now Available
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!
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AI: Making Space for What Matters
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.
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AI Expedition: Terminology
What’s the difference between agents, models, and tools? How do they all work together?
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