Eviebot And Boibot [top] Jun 2026

They taught an entire generation of internet users their first lessons in AI prompt engineering, prompt boundaries, and the fascinating, unpredictable mirror that technology holds up to human behavior.

Boibot alone garnered over 4 million views in its first week after more than 250 videos were published featuring his interaction.

: Unlike text-only bots, Eviebot (female) and Boibot (male) feature 3D-animated faces that change expressions based on the tone of the conversation. eviebot and boibot

Existor's bots participate in around 5 million conversational interactions every day. The company has logged approximately 3 billion of these exchanges, making it one of the largest corpuses of machine-human chatting data in the world. This vast repository of conversations forms the backbone of what makes Evie and Boibot so unique: they don't simply follow programmed scripts; they learn from real people.

with fully moving faces that change expressions based on the conversation's mood. Relationship They taught an entire generation of internet users

If you were on the internet between 2015 and 2020, you likely encountered them. Hosted by a website called Existor, these two AI companions were marketed as advanced conversational agents using "contextual natural language processing." But the marketing gloss quickly wore off once users started typing. What emerged was a digital theater of the absurd—an experience oscillating between hilarious non-sequiturs and deeply unsettling existential dread.

As AI technology continues to evolve, it's likely that Eviebot and Boibot will become even more sophisticated and advanced. Some potential future developments include: with fully moving faces that change expressions based

Jazz makes me think of lasagna. I hate lasagna. And cheese. Kaiden and Christopher always eat cheese and it's disgusting.

Existor has continued to evolve the underlying technology. The company has explored advanced techniques including vector representations (which transform words into mathematical vectors, enabling operations like "queen - king = woman - man") and clustering algorithms to find patterns in conversational data at a sentence level.