Opinion · 4 August 2026 · 5 min read
Why Everyone Is Suddenly Talking About AI Agents
Agents are not new. What changed is that models got reliable enough to be trusted with more than one step.
The word agent has been used to mean roughly everything: a chatbot with a system prompt, a script with a loop, a browser that clicks things. The definition that matters is simpler. An agent is a model that is allowed to take several steps without you checking each one.
Why now
Nothing about the idea changed. The models did. Tool calling became dependable, context windows got long enough to hold a task, and error recovery stopped being catastrophic. Once a model can notice it made a mistake and try again, letting it run unsupervised stops being reckless.
What is still oversold
- Fully autonomous work with no review. Almost nobody is running this in production for anything that matters.
- Agents that replace an entire role. In practice they replace a sequence of tasks, which is a different claim.
- Demos on a curated task. The interesting number is how often it works on the messy one.
The part nobody mentions
An agent needs context to be useful, and context means access. Your files, your calendar, your inbox, your accounts. The convenience argument for agents is strong. The privacy argument runs directly against it, and most products have not decided which side they are on.
Our view: agents are real and useful. The question worth asking of any agent product is not what can it do, but what does it need to see to do it.