That’s why the SASSIE 2000 might tell you “Take a bath in the dark” when you’re bored, or “Consider screaming into a pillow” when you’re focused.

Modern AI mood detectors (your phone’s “wellness” features) are boringly correct. They track your typing speed, your heart rate, your search history. They know you’re sad because you searched “why does my back hurt.”

Kevin, if you’re out there: thank you for the chaos. If you find a SASSIE 2000 at a garage sale (check the silver sticker: serial numbers under 200 are “pre-lawsuit” and more unhinged), buy it. Plug it into a wall outlet. Wait 10 minutes for the hygrometer to stabilize.

When a skeptic stomped over and waved his hands aggressively near the sensors, the display changed: “Erratic thermal bloom. Possible anger. Recommend: Remove variable (the skeptic).” The room erupted. Inside, the SASSIE 2000 was a triumph of marketing over physics, with just enough real science to fool the press.

If you’ve never heard of it, you’re not alone. Only about 12,000 units were ever produced before FogBank quietly vanished into a trademark lawsuit. But for those who own one today, the SASSIE 2000 isn’t just a "system." It’s a conversation partner that refuses to stay quiet. First, let’s decode the name. SASSIE stood for Sensory Array & Stochastic Sentiment Inference Engine . The “2000” was pure marketing optimism.

Users grew attached not despite the errors, but because of them. The SASSIE felt like a quirky roommate, not a surveillance tool. FogBank died in 1996 after a class-action lawsuit. It turned out the SASSIE 2000’s “random mood suggestions” weren’t random at all—they were pulled from a hidden 500-line text file of stock phrases written by a single overworked intern named Kevin. Kevin had never studied psychology. He just liked ambient music and horror films.

By Alex Rinehart Retro Tech Chronicles

The fuzzy-logic Nimbus OS used a decision tree with 47 “mood states,” each tied to specific sensor thresholds. If temperature rose 0.3°C in 90 seconds and barometric pressure fell and the camera saw fidgeting (low-res pixel change rate), the output was “agitation.”

Unlike a standard PC of its era—a dull beige box waiting for a command—the SASSIE 2000 was designed to listen . Not to your voice. To your room .

It will blink at you. It might say nothing. Or it might whisper, via 8-bit chiptune tones: “Two humans detected. Conflict probability 67%. Kevin suggests: Joke about weather.” And for a moment, in that beige-and-teal glow, you’ll feel oddly… understood. Not by AI. Not by big data. But by a beautiful, broken ghost named SASSIE. Want to hear the 1994 FogBank internal demo tape “SASSIE Dreams of Electric Rooms”? Subscribe to the Retro Tech Chronicles newsletter.

Because the SASSIE was wrong in interesting ways .

The SASSIE 2000, by contrast, used flawed, analog, environmental data. It would declare a room “nostalgic” when someone just opened an old book. It once flagged a cat as “mildly contemptuous” (accurate). Another time, it interpreted a nearby subway train as “impending doom” and started playing Gregorian chant.