A useful “ops” agent isn’t a chatbot that just “answers.” It’s a system that executes actions cleanly: creating and updating tickets, notifying Slack, keeping a Notion page up to date, opening or commenting on a GitLab issue/MR, and, most importantly, keeping everything consistent. The real challenge isn’t AI. It’s orchestration, reliability, and managing side effects. […]
Over the past few years, we’ve hit a real turning point: an image or a video is no longer proof. Between generative AI and deepfakes, “seeing” isn’t enough anymore. Fake content is getting more realistic, detection tools are improving more slowly, and platforms like Instagram or TikTok still aren’t ready to display clear, user-friendly proof […]
For years, “doing AI” basically meant “sending data to a server” (Microsoft, Google, OpenAI, and others). It made sense: models were huge, GPUs were expensive, and latency was acceptable. But that’s changing. Hardware has caught up with software, and not only through GPUs. NPUs (Neural Processing Units) are becoming common in PCs and smartphones, designed […]
AI has been very good at reacting for a long time: you give it an input, it gives you an output. But a big part of human intelligence is not just reaction. We anticipate, we imagine, we explain what will happen if we act in a certain way. That is exactly the idea behind world […]
AI is everywhere. We’re promised quick wins, “magical” automation, assistants that can do everything. And yet, in reality, many AI projects disappoint, not because the model is “bad,” but because the raw material isn’t good enough. What serious teams already know can be summed up in one sentence: Garbage In, Garbage Out. If your data […]
