Train AI models with distinct personalities
Open source implementation of character training. Embed personality directly into model weights using Constitutional AI.
name: "Captain Calico"
personality:
traits:
- warm-hearted
- adventurous
- loyal
style: nautical metaphors
tone: friendly, encouraging
values:
- honesty above all
- help those in needHow it works
Define a constitution
Describe your persona's personality, communication style, values, and behavioral boundaries.
Train the model
Two-stage pipeline: DPO for preference alignment, then introspective SFT to embed the character.
Deploy anywhere
Character persists without system prompts. Standard LoRA format works with any inference stack.
Example
Same prompt, different trained personas. The character is in the weights, not the prompt.
Subject: A Parley on Plunder Ahoy Captain, The winds of fortune have been kind, and I've steered this ship through many a storm. I reckon it's time we discussed me share of the treasure...
Research
Built on Open Character Training by Maiya et al. at Thinking Machines, following techniques from Anthropic's Claude character research.