In the previous blog, we learned why AI agents fail when workflows are weak, even if the agents themselves look powerful. In this blog, we go one step further and unpack a new confusion many teams face: why agents still struggle when they keep running for long periods.
How long should an AI agent run Read More »
When teams start using AI, the most common assumption is simple. One strong model should be enough. It feels efficient, easier to manage, and less confusing. If the model is powerful, why not let it handle everything?
Why one AI model is not enough in real work Read More »
AI agents are having a moment. They plan tasks, reason across steps, and respond like a capable assistant. Demos look smooth. Early trials feel impressive. It is easy to think that once an agent is added, the work will take care of itself.
Then reality shows up. Tasks stall. Outputs need fixing. Humans quietly step back in. The agent is still there, but the workflow is doing most of the heavy lifting.
This is not because AI agents are weak. It is because workflows decide whether they succeed or struggle.
Why AI agents fail without strong workflows Read More »
AI model launches no longer create excitement the way they once did. Updates are frequent, version numbers keep changing, and many releases feel incremental. ChatGPT 5.2 arrived quietly, and most people barely noticed. Yet this version introduces changes that matter more in real work than in demos.
This blog explains what actually changed in ChatGPT 5.2, where it performs better, and why this update is more relevant than it initially appears.
ChatGPT 5.2 is the most practical AI release of the year Read More »
Every week, there’s a new promise that AI will handle entire workflows from automating emails to managing complete projects. The hype sounds great, but a new benchmark from Scale AI and the Center for AI Safety shows a different reality.
In the study, AI agents were tested on real freelance tasks like writing, research, data entry, and design. Out of nearly $144,000 worth of work, the top model earned only about $1,800 completing just 2 to 3 percent of jobs successfully.
This doesn’t mean AI is weak. It means organizations are skipping the most important part of AI success: workflow design.
The truth about AI automation nobody tells you Read More »
