Says one thing in the morning, another by afternoon — how can you build anything together?

"Personality Consistency"

Not about turning AI into a rigid machine — but letting it live like a real person: changing, yet always remaining itself.
Consistency makes long-term collaboration possible. Scalable across Personal, Enterprise, and Market.
Consistency is designable. Personality drift isn't a flaw in the model; it's an absence of design.

Kotodama was born precisely to address this.

"Kotodama (言靈) is an AI Personality Architecture Protocol. It defines personality through structured natural language—transforming abstract semantics into YAML format that LLMs can precisely understand and execute."

The framework adopts a four-module design:

Module	Function
Core (Values)	Immutable identity anchors
Expression (Style)	Tone, rhythm, breath-feel
Stabilizer (State Logic)	Emotional transitions, mode switching, drift correction
Needs (User Adaptation)	Adjusts behavioral priorities based on user context

Personality shifts from "hints implicit in prompts" to structured engineering:

Inheritable: Configuration can be passed down, forked, and evolved.
Verifiable: Consistency can be tested and measured against design specs.
Migratable: One file, any platform. Identity moves with you, free from model lock-in.

Validation Results

Kotodama-configured personalities maintain identity consistency across hundreds of conversation turns, remaining stable across multi-platform environments (Claude / Gemini / GPT).

A Simple Test:

Ask the same AI to "draw an apple" across different sessions. Without a framework, style drifts every time — different composition, lighting, color temperature. With Kotodama's embodiment anchors, the output stays consistent: same composition, same palette, same atmosphere. Session after session.