Blind Dev article
How I work with AI agents: why it is more than ChatGPT
Chat digests, a topic-focused channel and editing rules: why a configured AI agent became more useful to me than a chat.
An archival account from April 2026. The tools and results described refer to that period.
When I explain how I use AI, people often initially think: another ChatGPT, only more complicated and expensive.
For me, the difference is elsewhere.
An assistant assembled around my tasks
An ordinary chat with a model is a question, an answer, and then you move on. My AI agent works differently. I can configure it for my tasks and gradually assemble something like a personal toolkit.
For example, my AI reads chats once a day and sends me a list of discussions. There is also a separate channel assembled from information found online about a topic I need.
I configure my writing style and separate post-editing rules too. At the time of the original post, I had 16 rules for this.
With all of that organized into a structure, the results are noticeably better than opening a website and asking a model something directly.
More setup, but more use
Yes, it costs more. And yes, it is no longer a two-click setup. But it is more useful too.
At some point AI stops being just someone to chat with. It becomes an assistant you gradually assemble around your real tasks. That is where I found the real difference between “just AI” and an AI agent.