Working with AI every day changes the conversation.

Sample text for this first version. Awaiting editorial review.

I work with AI every day. Familiarity makes me more demanding. I’m less interested in what a tool promises in a presentation and more interested in what happens when I ask it to help me finish something.

An answer can sound convincing and leave the difficult part untouched. In development, that becomes apparent when the code has to fit what already exists. In a conversation, it shows up when the next question requires keeping the context. The first impression matters; so does continuity.

My questions have become more concrete. Did it understand what I’m trying to solve? What did it assume without asking? Can I check the result? How much work does reviewing its output add? I don’t need a complete theory of AI to decide whether it helped me today.

I also have to examine my part. Giving a vague instruction and expecting precise execution is a convenient way to hand the model all the responsibility. Sometimes the limit is the tool. Sometimes it’s how I defined the problem or what I still don’t know how to explain.

That combination interests me more than choosing between enthusiasm and rejection. I want to discuss what is already part of the work: what I delegate, what I review, where I save time, and where I need to intervene. A demo only begins that conversation.