Prairie Labs

Prompt software for
your harnessed agent

Engineered .txt packages that install artificial intelligence systems directly into your agent's environment.

How does it work?

Prompt Emporium

Prompt software packages are live now.

Open Emporium

4 provisional patents 7 applications

10 providers tested

General compatibility
Mistral
ChatGPT
Claude
Gemini
Kimi
Perplexity
Qwen
DeepSeek
NVIDIA
Llama

More releases are coming to the emporium.

Image, Music, and Video Generation

Mathematics is the foundation at every level: the model writes structure, canvas programs render images, animation advances through calculated motion, and Mozart turns equations into sound waves.

AI-generated art notice

All media is generated without training on the work of artists.

Cinematic prairie landscape generated by Spur — **Spur**Image generator
Spur starts with mathematical structure: shapes, fields, coordinates, and canvas instructions that the machine turns into finished images. These were generated in one-shot prompts without an image-trained model.
Open Spur

Procedural art deco New York cityscape generated by Spur — **Spur**Image generator
Spur starts with mathematical structure: shapes, fields, coordinates, and canvas instructions that the machine turns into finished images. These were generated in one-shot prompts without an image-trained model.
Open Spur

Lorenz systems

Wallpaper-scale studies from equations and mathematical attractors.

View

Mozart interface showing arrangement and mixer views — **Mozart**Music system
Mozart has the model compose the music, synthesize the sounds, and then voila: a playable WAV appears from text-defined score, instruments, envelopes, and export steps. The model writes the arrangement and the audio recipe, then renders the file from structure rather than imitation.
Open Mozart

SavannahAnimation studio

Savannah animates generated images and mathematical systems with canvas motion, timing, coordinates, and equations.

Open Savannah

Bouncing BallsSavannah

Collision motion, timed loops, and five-color canvas animation.

Cat and MouseSavannah

Simple agents, calculated movement, and timing across a canvas.

Singularity BloomSavannah

A generated image pushed through motion, scale, timing, and mathematical change.

Live Lorenz SystemSavannah

Canvas motion from equations, projected as a rotating system.

Prairie Labs

A Prompt Engineering Company

At Prairie Labs we believe that because prompting precedes inference, it is the most important layer in utilizing language models. Everything we build stems from text (.txt) files. We use only text files because anything beyond that abstracts the problem away from prompting.

University of North Texas CSCE ClubWith thanks for hosting this talk.

Callahan Stroud, Founder and CEO

Callahan Stroud is the Founder and CEO of Prairie Labs, a prompt engineering company in Los Angeles.

Originally from Norman, Oklahoma, Callahan graduated from the University of North Texas Honors College with a B.A. in Political Science and minors in Chinese and Broadcast Journalism. He studied and lived in China, speaks Chinese, and brings a mix of policy, media, language, and product instincts to Prairie Labs.

Before Prairie Labs, he worked in policy and advocacy, nonprofit research, campaign field work, and international student services. Those roles gave him a habit of looking at systems from the ground level: how people ask for help, how institutions answer, and where information gets lost. After beginning law school, Callahan moved into artificial intelligence full time. He is named on four provisional patent filings covering prompt engineering systems, semantic operating systems, multi-agent environments, and game-based simulations.