AI Gym is a simple idea: the practice of staying lucid under cognitive acceleration. A few months ago, I said goodbye to Power Platform for serious product development. It is still excellent for prototyping and simple client work. But for…
AI in management is transforming how businesses analyse data and explain complex events. But there is a problem: explanation is not the same as understanding. AI can generate insights instantly. What it cannot replace is structural thinking in management. Without…
Artificial Intelligence in the Workplace The future of work will not be decided by how many people Artificial Intelligence replaces. It will be decided by how much more useful it makes them. I believe that strongly enough to say it…
A commercial discount strategy supported by machine learning can transform causal pricing decisions. Most commercial discounts destroy value. Reporting simply fails to show it. When sales increase after a campaign, the conclusion seems obvious: the discount worked. Revenue went up,…
AI Gym is about training cognitive capacity in an age where artificial intelligence amplifies everything. We have more data, more dashboards, more automation yet better decisions are not guaranteed. The real bottleneck is no longer information. It is cognitive clarity.…
Emotional Intelligence vs Artificial Intelligence is becoming one of the most important discussions shaping careers, leadership, and decision-making in the modern workplace. I once interviewed a candidate for a data consultant role who was pursuing a PhD in data science.…
Most discussions about AI agents start from the wrong premise: that an agent should be intelligent, reason autonomously, and make decisions. This is precisely what makes most agents unfit for real business use. In this pricing system, the agent does…
At this point, we have a disciplined conversational agent that recommends hotel room prices backed by a machine learning model trained on historical hotel data. No intuition, no heuristics, and no AI hallucinations. While this setup already delivers strong pricing…
Now that we have a conversational agent that understands natural language and can provide a simple, heuristic-based, hotel price recommendation, we need to take the solution one step further: we want the recommendation to be based on the actual hotel…
Let’s build an agent for optimizing the pricing model of a hotel. Instead of fragmented decision processes and data, let’s create a system to maximize occupancy and revenue. This system should adapt to the hotel’s data and the market pricing…