Hey everyone, Bernardo and I are heading into the Christmas break, and before we do, we wanted to pause and take stock of the year we just lived through. 2025 was loud. Not noisy in the hype sense, but loud in consequences. This was the year AI stopped being a future topic and became an everyday material. Not a concept. Not a trend. Something people had to react to. Something that showed up in products, workflows, expectations, and pressure. Early in the year, the market jolts made one thing obvious. This is not a local experiment. It is a global race with real stakes. Then the pace accelerated. Reasoning improved. Coding became conversational. Images and video crossed a threshold from impressive to usable. Infrastructure spending exploded. Valuations followed. Entire industries began quietly rearranging themselves. But the real shift was not technical. It was behavioral. 2025 was the year people stopped talking about AI as an abstract force and started shaping it into real systems. Teams moved from side experiments to uncomfortable questions. What does this mean for how we design work. How we design products. How we design decisions. How we design responsibility. That transition has only just started. What feels different now is clarity. The fog is thinning. The performative demos matter less. The real use cases are becoming visible. The gap between people who observe and people who build is widening fast. At this point, curiosity combined with action is already an advantage. Looking toward 2026, the tone shifts again. Less exploration for its own sake. More execution. More budget. More expectation to move from ideas to outcomes. For people working seriously with engagement, behavior, and system design, this is not a threat. It is an opening. We want to thank everyone who has been part of this community and our journey. Reading, questioning, pushing back, building, sharing. This space just started. We are really looking forward to how it will go forward and develop further.

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?

🔥 If you need bonuses, your system is broken 🔥 If behavior must be enforced, motivation is misaligned 🔥 If learning does not change behavior, the environment is lying