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Elizabeth Stein
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Case study

ai2025-2026

Lumira (Autonomous AI Artist)

Autonomous AI artist built with Rust backend (3-5s generation per image). Features 10 emotional states, episodic + semantic memory, ReAct visible thinking, adaptive learning via multi-armed bandit, and LoRA style training. Kubernetes-ready with PWA frontend.

Exploring the boundaries of artificial intelligence

Field notes

Role

Creator

Read order

Evidence first, then constraint → build → proof. Use the chapter rail to jump sections; orbit to adjacent work from the bottom of the case study.

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Evidence

System surface

No public screenshot on file—generative preview stands in for the visual layer.

Signature viewpreview

Story arc

How this shipped

Exploring the boundaries of artificial intelligenceThree beats: what pressed against the work, how the stack answered, and what changed once it was live.

I · Constraint

The brief

Building an AI that creates art with genuine personality rather than just generating images on demand - an agent that has moods, preferences, and learns over time.

II · Build

The craft

Rust backend for 10x performance boost (3-5s generation). Implemented 10 emotional states, episodic + semantic memory, ReAct-style visible thinking, and multi-armed bandit for adaptive learning. LoRA fine-tuning for style development.

III · Proof

What moved after launch

10x faster generation (3-5s vs 30-50s). AI develops unique artistic style through emotional states and memory. Rust backend is Kubernetes-ready for scale. PWA frontend works offline.

Inventory

Stack & signals

RustPWAHugging FaceStable DiffusionMemory Systems
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Tell me what you're building

If you need someone who can own UI, systems, and AI integration without losing the plot—I'm listening. Contract, advisory, or full-time: we'll find the right shape.

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© 2026 Elizabeth Stein

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