Hey everyone — Duncan here. Based in Switzerland, keen climber, skier and dad of two. I work with teams to help them get answers faster from internal data using private AI, usually in environments where cloud tools aren’t an option. Looking forward to learning from the group and sharing practical experiences from real deployments.

Curious to know what industry you are are in! AI is very different depending on your industry. Lets share a comment with what our industry is and what can be done in our industry with AI.

One of the most common frustrations with AI is the feeling that it does not quite understand what we want. The responses are close, but not right. Useful, but unfocused. Impressive, but misaligned. What we often label as an AI limitation is, more accurately, a signal about our own clarity. AI collaboration does not break down because the technology lacks intelligence. It breaks down because intent is missing. Without clear human intent, even the most capable systems struggle to deliver meaningful value. ------------- Context: When AI Feels Unreliable ------------- Many people approach AI by jumping straight into interaction. They open a tool, type a prompt, and wait to see what comes back. If the output misses the mark, the conclusion is often that the AI is unreliable, inconsistent, or not ready for real work. What is less often examined is the quality of the starting point. Vague goals, unspoken constraints, and half-formed questions are common. We know we want help, but we have not articulated what success actually looks like. In traditional tools, this ambiguity is sometimes tolerated. Software either works or it does not. AI behaves differently. It fills in gaps, makes assumptions, and extrapolates based on patterns. When intent is unclear, those assumptions can drift far from what we actually need. This creates a cycle of frustration. We ask loosely, receive loosely, and then blame the system for not reading our minds. The opportunity for collaboration gets lost before it really begins. ------------- Insight 1: AI Amplifies What We Bring ------------- AI does not generate value in isolation. It amplifies inputs. When we bring clarity, it amplifies clarity. When we bring confusion, it amplifies confusion. This is why two people can use the same tool and have radically different experiences. One sees insight and leverage. The other sees noise and inconsistency. The difference is rarely technical skill. It is intent. Intent acts as a filter. It tells the system what matters and what does not. Without it, AI produces breadth instead of relevance. With it, the same system can surface nuance, trade-offs, and direction.