The AI industry feels different lately. Not slower. If anything, the pace is increasing. New models, new tooling, new capabilities, new benchmarks. Every week there seems to be another leap forward. But underneath all of that, something else is happening. The conversation is starting to shift from capability to practicality. For the last few years, […]
There is a lot of focus in AI right now on capability. New models, better benchmarks, faster performance. Each step forward is meaningful, and the progress is real. But building systems with these tools has a way of shifting your perspective. The challenge is not whether a model can produce a good result. The challenge […]
There has been a wave of AI releases recently. New models, improved performance, better benchmarks. Each step is meaningful, and the pace of progress is real. But when you start building real systems with these tools, a different picture emerges. Most failures are not happening at the model level. They are happening in how systems […]
The AI space is moving quickly toward a common set of capabilities. Agent frameworks.Orchestration layers.Tool integration.Memory strategies.Security and governance considerations. These patterns are becoming widely understood. Large organizations are rapidly building toward them. This is a natural phase of the market. As concepts mature, feature sets begin to converge. However, capability alone does not create […]
Human-in-the-loop is often described as a requirement for AI systems. Add a human for review.Add approval steps.Add checkpoints. On paper, that makes sense. In practice, it often fails. Not because the idea is wrong. Because the experience around it is. Most systems treat human interaction as an interruption. A modal.A notification.A separate screen. Something that […]
A lot of AI interfaces today are still built around the same patterns we’ve used for years. Pages.Forms.Buttons. Even when AI is involved, the experience often comes down to entering a prompt and waiting for output. That works, but it misses something important. It assumes the user knows what to do next. In practice, that’s […]
AI capabilities are converging faster than most people expected. What felt differentiated six months ago is quickly becoming table stakes. Code generation.Agent workflows.Automated pipelines. More companies are building similar capabilities at a rapid pace. That shouldn’t be surprising. Large organizations have the resources to replicate features quickly once patterns become clear. But feature parity doesn’t […]
As AI continues embedding itself into everyday tools and processes, it is worth pausing to ask an uncomfortable question. What are we trading for this capability? Modern models are trained on enormous datasets. Some of that data comes from public sources on the internet. Some of it comes from licensed or purchased datasets. Some of […]
There’s a growing narrative that AI will replace SaaS. If AI can build anything, why pay for software subscriptions? The logic sounds compelling. It’s also flawed. Software is a tool. If you were an advanced AI system, would you reinvent a calculator every time you needed one?Or would you use the calculator that already exists? […]
Governance around AI agents is becoming a louder topic. That’s not a reactionary trend. It’s a predictable one. When agents move from generating text to taking action inside real systems, governance stops being theoretical. Most organizations approach governance as a policy problem.Write the document. Define the rules. Approve the tool. That’s not enough. Agent governance […]
