Passionate Product Designer @Promomix, crafting intuitive and impactful user experiences. Innovating at the intersection of design and technology to redefine productivity.
Would love to hear thoughts. Here's my perspective. I'm against AI slop, but I'm not against AI. I believe AI is a great tool but it also needs greats pilots to use it well. This is what I'm working on. AI Fluency.
Biggest marker of AI fluency is AI judgement. Where and when to use AI and where and when not to.
I ve been thinking a lot about the difference between personalization and real adaptation in fitness software.
A profile with age, goal and experience level is useful, but it still treats each workout request almost like a new session.
A more interesting model is longitudinal: remember what the person actually completed, which movements and muscle groups were trained recently, how difficult the exercises felt, what restrictions exist, and how nutrition has looked over the previous days.
Then the next recommendation is based on that history instead of starting from zero.
Imagine an AI agent responsible for routing inbound leads. Nothing crashes. No alerts fire. The workflow keeps running exactly as expected.
The problem is that the agent has slowly started sending high-value leads to the wrong queue. Maybe a few customer issues are being summarized inaccurately. Maybe records are being updated with small mistakes that seem harmless on their own. Each individual error is easy to miss. Over time, though, the impact starts to compound.
Those are the AI failures that interest me most because they rarely look like failures at first. There is no outage, no red warning message, and no obvious signal that something is wrong. The workflow continues operating, but the quality of the outcomes quietly drifts away from what the team intended.
That makes detection a different challenge altogether. It's less about system uptime and more about observation. Are there feedback loops? Quality checks? Escalation paths? Can someone spot a pattern before customers, revenue, or operations start feeling the effects?
Promomix
