I've never been a career path person. I do follow paths, but for a variety of roles I'm interested in. Or roles I have to hold as an entrepreneur. I've discovered over the last few years that I'm not alone in this and I'm now exploring this space more. Curious if anyone else recognizes this and has any suggestions for knowledge and best practices to look at. The portfolio approach is what lead me to transition from learning journeys with a previous venture Patica, to the roles approach I'm following with Tribre. Here is a first go at capturing my thoughts about career portfolios versus career paths, or even worst career ladders: tribre.com/career-portfolio

Stop the obsession with measurability: Why the new Workday & Achievers partnership is (potentially) dangerous. 🚩 🗞️ Latest news from the world of HR tech: Workday and Achievers have just launched their joint AI solution. (https://newsroom.workday.com/2026-04-16-Workday-and-Achievers-Launch-AI-Powered-Recognition-and-Rewards-Solution-to-Boost-Employee-Engagement-and-Retention) The promise: Recognition will finally become a ‘measurable performance signal’. What sounds like progress for data-driven leadership is, in reality, a frontal assault on genuine corporate culture. We are knowingly walking into a trap that was described 50 years ago: Goodhart’s Law. ↳ As soon as a metric becomes a target, it ceases to be a good metric. The problem with the new ‘recognition engine’: When we cram praise into dashboards and track it as a KPI, managers are no longer optimising their appreciation, but their click-through rates. Recognition loses all its signal value when it becomes a digital formality. We are selling correlation as causation. Just because productive people are praised more often, productivity does not increase simply by indiscriminately hammering ‘recognition transactions’ into a tool. On the contrary: we are creating a system of performed compliance, in which what really counts (mentoring, quiet support, deep reflection) remains invisible because AI cannot capture it in real time. We must stop believing that we can ‘fix’ culture by buying a SaaS module. True recognition is a social ritual, not a measurable transaction.

When you think about human development and personal growth, where does your attention go first? Not where it should go. Where it actually goes. Choose the option that feels most natural to you. There is no correct answer here. This is about orientation, not quality. If you want, add one sentence in the comments explaining why you chose what you chose. No justifications needed. I am curious where this community actually stands.

I know that some of you created specific ai bots and/or agents. Do you work off grid or you chose the most known LLMs? and if you choose LLM's, what you created and the data belongs to them right? pros and cons?

Gamification was my personal starting point into the vast world of behavioral economics. I later gained a better understanding of many aspects of gamification after delving deeper into behavioral economics and behavioral psychology as a whole. Evolutionary biology and neuroscience have also shaped my view of gamification. What other topics interest you in this context, but outside the traditional industry of gamification?