Teaching a Machine About Human Rage

DEVLOG 03 – Teaching a Machine About Human Rage

Today was about rage.

I wired up the first version of the “emotion modes” for the Emotional Black Box:

• raw
• rage
• healing
• static
• lyric

Then I gave the model an assignment:

Take this messy paragraph about burnout and frustration
and rewrite it as someone trying to crawl out of their own skin.

The response hit harder than I expected.

It didn’t just make it louder.
It made it truer.

Lines came back that felt like:

• the tightness in your chest when you can’t say what you mean,
• the moment your brain goes white-hot and quiet at the same time,
• the “I’m not okay but I’m still standing here” energy.

That’s when it clicked:

I’m not asking this AI to be wise, polite, or “wellness-friendly.”
I’m asking it to translate emotional signals into a language I actually recognize.

Rage-mode isn’t about screaming.
It’s about being brutally specific: the way your thoughts loop, the words you don’t say out loud, the ugly stuff that doesn’t fit in a caption.

This devlog entry is a reminder to myself:

• If this tool ever starts sounding like a therapist, I broke it.
• If it starts sounding like a confession with teeth, I’m on the right track.