Visual control
CyaniModel
Control subject identity, spatial structure, image edits and visual delivery constraints.
Explore CyaniModelLlamaGen Research · Technical definitions
A source-backed guide to controllable visual generation and the systems that make creative work coherent over time.
LlamaGen's working definition
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.
Each layer has a different responsibility. Together they describe a path from visual control to context-aware creative execution.
Visual control
Control subject identity, spatial structure, image edits and visual delivery constraints.
Explore CyaniModelPersistent context
Preserve source-backed story facts, character states, project decisions and reusable playbooks.
Read the Creative Context definitionContinuous execution
Plan, act, inspect, revise, checkpoint and resume multi-step creative tasks.
Read the Agent Loop definitionEvidence-aware improvement
Use explicit corrections and accepted outcomes as contextual signals, not unverified global preferences.
Read the feedback-learning definitionThe technical series
CyaniModel · Core definition
Learn what controllable AI image generation means, how references, structure, masks and editing instructions guide outputs, and where CyaniModel fits.
CyaniModel · Character continuity
A technical guide to character identity, changing appearance states, reference selection, multi-character control and evaluating continuity in AI comics.
CyaniModel · Visual understanding
Explore how AI can understand comic pages through panel segmentation, reading order, OCR, character roles, scene graphs and cross-panel story context.
Creative Intelligence · DeepStory
Learn how persistent creative context connects source evidence, canonical story facts, character memory, production playbooks and feedback across AI agents.
Creative Intelligence · Agent Loop
Understand the AI agent loop for creative production: plan, execute, inspect, revise, checkpoint, resume and learn from accepted outcomes.
Personal Media Agent research
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.
An agent compared with a chatbot: permissioned context, tools and creative outcomes.
Evidence, approved canon, provenance, scope, correction and reusable playbooks.
Accepted results, bounded execution and metrics for a creative feedback loop.
See how this research informs Introducing Jev..
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.