Prairie Labs
We build prompt-based systems for a variety of artificial intelligence applications.
4K Lorenz Attractor backgrounds.
Generated by artificial intelligence.Without training on the work of artists.
We write the specification. You run the world.
Prairie Engine-style simulations turn language models into persistent systems for settings where decisions have consequences and state evolves over time.
A specification layer for language model worlds. Define entities, rules, state, and consequences, then let the model advance the system.
Run local model games from your own machine.
A turn-based civilization game where a local model controls turns, factions, decisions, and consequences across entire civilizations.
Scenario simulations for crisis response, markets, negotiations, and organizational dynamics.
Systems that run on hardware you control.
Local models think entirely on your own silicon. Data never leaves your machine.
Why live in a metered cab when you can just drive your Corolla?
Inference never leaves your computer. All of the Large Language Models (LLMs) operate on your silicon.
Your data never touches the cloud. As is the case with on-device inference, data system files never leave your computer.
Utilize any local LLM.
Swap which local LLM takes a task so that agents can bring their strengths out while operating.
The model orchestrates an ensemble of Linux design programs.
All media is generated.Without training on the work of artists.
Spur uses math to generate shapes which it then arranges into images using inference.
Mozart has the model use math to create sound waves in an audio program followed by an assembly using music written in music theory.
Take some elements and have the model calculate its position and change across time.
Prairie Labs builds artificial intelligence systems.
Prairie Labs works where local models, simulations, and creative software meet. We build systems that can be specified, inspected, moved between models, and run close to the user.
Our work is ethical, privacy-conscious, and green by design: less cloud dependence, fewer unnecessary API calls, and more computation on hardware people control.
The work sits at the frontier of language-model-native systems while taking artist consent seriously. We make media and tools without training custom image, video, or audio models on the work of artists.
Callahan Stroud is the Founder and CEO of Prairie Labs, an ethical technology company working on language model systems, local-model architectures, semantic operating environments, multi-agent environments, and game-based simulations.
Callahan's background spans language, media, systems design, and artificial intelligence. His work focuses on tools that can be inspected, run locally, and adapted without depending on opaque infrastructure.
Through prairielabs.ai, he develops privacy-conscious open-source software that runs inside language models, including music, animation, and image generators built from text alone without training on the work of musicians or digital artists.
Local-integrated systems. Artist respect. Open source.
Prairie Labs favors local systems, public tooling, thoughtful infrastructure use, and generated media made without training custom image, video, or audio models on the work of artists.
Usage incentives for AI services
Read articleConnect with us at hello@prairielabs.ai.
