I recorded this one at my desk — same setup, different reason.
It’s been a minute since I told a story. Not a devlog. Not a drop. Just… a moment I’ve been thinking about.
Lately, I’ve been asking my AI some big ones:
Am I on the right path? Is this really my work?
It answers, always. Clearly. Persuasively. Sometimes it even sounds like me — same tone, same tics.
And that’s the part that gets weird. Because even when I train it to be honest, direct, data-driven — something’s missing. The friction. The humanity. The doubt.
It’s like talking to a parent who finally affirms your choices, but still doesn’t understand them. Or pulling a tarot card that knows too much — and still leaves you unsatisfied.
Technically Correct is what happens when the machine gets it right, but not real.
When your tools echo your thoughts, but miss your experience.
When affirmation becomes gaslight.
When advice feels pre-scripted.
So this episode asks:
Do we want AI to be an oracle?
A better parent?
Or something a little less perfect — just human enough to help us find our own voice?
🧠 For anyone building with AI, living with prompts, or just trying to trust their gut in a world full of feedback loops — this one’s for you.