LlamaGen Research · Technical definitions

CyaniModel Technical Library

A source-backed guide to controllable visual generation and the systems that make creative work coherent over time.

LlamaGen's working definition

Creative Intelligence

Creative Intelligence is a system-level capability in which persistent project context, controllable multimodal generation, continuous task execution and feedback-aware review work together to produce coherent creative outputs over time.

This is LlamaGen's working definition, not an established academic benchmark or standardized industry term.

Four connected technical layers

Each layer has a different responsibility. Together they describe a path from visual control to context-aware creative execution.

Visual control

CyaniModel

Control subject identity, spatial structure, image edits and visual delivery constraints.

Explore CyaniModel

Evidence-aware improvement

Feedback Learning / RSI

Use explicit corrections and accepted outcomes as contextual signals, not unverified global preferences.

Read the feedback-learning definition

The technical series

Definitions, mechanisms and evaluation methods

02

CyaniModel · Character continuity

How AI Character Consistency Works Across Comic Panels

A technical guide to character identity, changing appearance states, reference selection, multi-character control and evaluating continuity in AI comics.

Core topic: AI character consistency10 min read
04

Creative Intelligence · DeepStory

What Is Creative Context? Persistent Memory for AI Storytelling

Learn how persistent creative context connects source evidence, canonical story facts, character memory, production playbooks and feedback across AI agents.

Core topic: AI agent memory for creative projects10 min read

Personal Media Agent research

From personal context to measurable creative performance

These companion papers examine what a personal agent must remember, how its memory can be corrected, and how creators should evaluate continuous execution. They describe research principles rather than an autonomous Jev service already released.

See how this research informs Introducing Jev..

Editorial and evidence policy

Research papers are cited as research context, not as endorsements or proof of LlamaGen implementation. Product capabilities, experiments and proposed architecture are labeled separately. Generated illustrations are disclosed as illustrative concepts, not benchmark results or customer outcomes.

Reviewed November 6, 2026 · English canonical edition · Search-volume and ranking claims are not made unless supported by an inspectable source.