THINKING OUT LOUD

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Dr. Candace Hayden reflects on a childhood memory of dialing a simple phone number to hear the time and the quiet trust that came with it. She explores how that same pattern of “call, receive, trust” shows up in her interactions with modern, far more complex systems, and what it reveals about how easily curiosity can fade when something simply works.

I Never Actually Asked What GPT Means

Dr. Candace Hayden reflects on the quiet realization of using ChatGPT regularly without ever stopping to ask what “GPT” actually means. She explores the difference between usefulness and understanding, how effectiveness can bypass curiosity, and what it reveals when something becomes so familiar it’s no longer questioned.

I Knew It Wasn’t Right… and I Used It Anyway

A reflective diary entry about the quiet moment when something feels off, the choice to keep going anyway, and the later realization that the concern was real all along.It stays inside the experience: the first no-code build, the AI-guided backend changes, the uneasy recognition, and the cost of deferring judgment.

Minimum Viable… for Who?

A reflective episode about the promise and limits of the Minimum Viable Product: when iteration helps, when it becomes a shield for unfinished thinking, and who actually carries the risk when something incomplete is sold as ready.

No Code Bullshit

Dr. Candace Hayden challenges the idea that no-code eliminates the need for technical understanding. She reflects on how hidden complexity, AI-generated logic, and real-world implementation reveal that building without understanding can create more risk than simplicity.