We just harvested uncloseai: Machine Learning Inference Client Reference Manual. 454 pages. 58 implementations across languages. 5 days from seed to harvest (October 11-16, 2025).
This seems like permacomputer agriculture. We don't write books. We grow them.
the permacomputer
At unturf. we're building a permacomputer. Not a machine. An ecosystem.
Permaculture grows food by working with nature instead of against it. Plant the right seeds, create the right conditions, let systems self-organize & harvest continuously.
Permacomputer grows software the same way. Plant code templates, create automation pipelines, let ML models generate variations & harvest continuously.
Traditional software development: manual labor, row crops, monoculture.
Permacomputer: polyculture, automation, continuous harvest.
the seed
Day 1: plant reference implementations by hand.
Python with requests. Python with httpx. C with libcurl.
These are seed stock. Genetic templates. Everything else grows from these.
All 58 implementations live in the open in the languages directory - a git repository of public domain code. Clone it, fork it, grow new software from these seeds.
Each implementation contains the DNA:
- HTTP client patterns
- Request formatting
- Response parsing
- Error handling
- Streaming support
- Docker containerization
the growth cycle
Days 2-3: propagation
ML models read the seed implementations & generate variations across languages. We provide reference patterns & the model adapts them to each language's idioms & libraries.
Rust, Zig, Odin, Nim, Crystal, JVM languages, .NET, functional languages, scripting languages. Each implementation follows the same API patterns but uses language-native approaches.
Days 2-4: automated cultivation
Every implementation goes through Docker build & validation. Each one must:
- Build successfully in isolated container
- Discover models from environment variables
- Handle streaming responses correctly
- Generate text-to-speech output
- Pass integration tests
Failed builds get regenerated. The cycle repeats until all tests pass. Wake up to 10-15 new implementations tested & validated.
Days 4-5: harvest
ML generates documentation from working code. We review, edit, format & assemble the book.
Template → generation → validation → harvest.
the permacomputer mindset
1. ML as mycelium
Mycelium breaks down organic matter & distributes nutrients. ML breaks down reference code & distributes patterns across languages.
Not replacement. Decomposition and propagation.
2. Automation as irrigation
Set up the system once & it runs continuously. Docker builds, tests, validation.
No manual watering. The system waters itself.
3. Quality seeds = quality harvest
First 3 implementations took careful work. Every subsequent implementation inherited that quality.
Invest in seed stock. Harvest scales automatically.
4. Version control the genetics
Prompts are genetic code. Version controlled, A/B tested & iterated daily.
Prompt engineering is genetic engineering.
5. Solo operator, ecosystem leverage
One person. One permacomputer. 58 implementations in 5 days.
Not through heroic effort. Through ecosystem design.
the harvest
- 454 pages
- 58 tested implementations
- Complete Docker configs
- Public domain code (git repo with all 58 implementations)
- $42, includes free uncloseai.com API access
More importantly: proved permacomputer can grow technical reference material at scale.
the evolution
unturf. is a loose-knit collective of hackers disrupting wheels & fostering open collaboration.
We run uncloseai.com - free machine learning inference services.
We operate git.unturf.com - public domain code repositories.
We're growing Remarkbox, MakePostSell & now uncloseai as permacomputer crops.
Not a company, an ecosystem of software permaculture.
The same patterns that grew this book in 5 days grow everything:
- API documentation
- Code example libraries
- Multi-language SDKs
- Tutorial content
- Technical training materials
Plant seeds, build automation, let ML propagate & harvest continuously.
Traditional publishing: manual labor at typing speed.
Permacomputer publishing: automated cultivation at validation pipeline speed.
Not one person writing code.
A collective cultivating an ecosystem.
Disrupting wheels. Fostering open collaboration. Making AI accessible.
The book grew in 5 days because we planted the right seeds in the right soil with the right automation & cultivation pipeline.
Permacomputer agriculture.
Join us: unturf.
Grab the harvest: uncloseai reference manual