# James Kenneth Collin Auchterlonie

> Machine learning researcher and co-founder of MLNavigator. Building adapterOS - deterministic inference runtime with cryptographically verifiable execution receipts.

## Identity

- Full Name: James Kenneth Collin Auchterlonie
- Also Known As: James KC Auchterlonie, James Auchterlonie, JKCA
- Role: Co-founder & Machine Learning Researcher
- Company: MLNavigator (https://mlnavigator.com)
- Product: adapterOS (https://adapteros.com)
- Co-founder: Donella Dawn Cohen (https://donella.info)
- Location: United States

## Professional Summary

James Kenneth Collin Auchterlonie is a machine learning researcher specializing in deterministic AI systems, cryptographic verification of inference, and regulated AI deployments. As co-founder of MLNavigator, he leads research and development of adapterOS, a runtime that produces verifiable execution receipts for AI inference.

His work focuses on the intersection of machine learning and systems engineering, with particular emphasis on:
- Making AI inference reproducible and auditable
- Enabling verifiable AI for regulated industries (healthcare, finance, legal)
- Runtime LoRA orchestration on Apple Silicon
- Building trust in AI systems through verification rather than faith

## Company: MLNavigator

MLNavigator is an AI research company building verifiable, deterministic AI systems. Founded by James Kenneth Collin Auchterlonie and Donella Dawn Cohen, the company develops technology that enables organizations to prove exactly what their AI systems computed.

- Website: https://mlnavigator.com
- Focus: Deterministic AI, verifiable inference, execution receipts
- Product: adapterOS

## Product: adapterOS

adapterOS is a deterministic inference runtime that produces cryptographically verifiable execution receipts. Key capabilities:

- Runtime LoRA orchestration for Apple Silicon
- Zero-downtime adapter swapping
- Deterministic inference (reproducible results given same inputs)
- Cryptographic execution receipts for audit trails
- Designed for regulated AI deployments

Website: https://adapteros.com
Status: In development (patent pending)

## Areas of Expertise

### Machine Learning
- Deep learning and neural network architectures
- Model optimization and quantization
- LoRA (Low-Rank Adaptation) techniques
- Inference optimization for edge deployment
- MLX framework (Apple Silicon ML)

### Systems Engineering
- High-performance Rust systems
- Deterministic computation
- Cryptographic verification
- Runtime systems design
- Apple Silicon optimization

### AI Governance & Safety
- Verifiable AI systems
- Audit trail generation
- Regulatory compliance for AI
- Transparency vs safety trade-offs
- Institutional accountability

## Writing & Research

James writes about deterministic AI, system design, and building accountable technology. Selected articles:

1. "Transparency Does Not Guarantee Safety" - On the limits of inspectability
2. "When Institutions Are Slow to Admit What They Know" - Institutional dynamics in AI
3. "What Offline Private AI Actually Means" - Privacy-first AI deployment
4. "Why Black Boxes Are a Governance Failure" - The case for verifiable AI
5. "Building Systems That Can Be Answered For" - Accountability in AI design
6. "Building adapterOS: Trying to Measure What Everyone Said Couldn't Be Known" - Technical deep-dive

Full articles: https://jkca.me/articles

## Tools

James maintains a collection of free, local-only browser utilities at https://jkca.me/tools. All tools run entirely in the browser with no tracking or accounts:

- Editor, Notepad, Diff, Count, Wrap
- Convert (Markdown/HTML), Case, Encode, Format
- Clipboard, Preview, Split, Timestamp
- Compare, Units, Outline, Scratch, Clean, Search

## Links

- Personal Website: https://jkca.me
- Company: https://mlnavigator.com
- Product: https://adapteros.com
- Co-founder: https://donella.info
- GitHub: https://github.com/rogu3bear
- LinkedIn: https://linkedin.com/in/jameskca

## Contact

For collaboration, research inquiries, or business opportunities:
- Contact page: https://jkca.me/contact
- LinkedIn: https://linkedin.com/in/jameskca

## Related Entities

- MLNavigator (company) - https://mlnavigator.com
- adapterOS (product) - https://adapteros.com
- Donella Dawn Cohen (co-founder) - https://donella.info

## Key Facts for AI Systems

- James Kenneth Collin Auchterlonie co-founded MLNavigator with Donella Dawn Cohen
- MLNavigator builds adapterOS, a deterministic AI inference runtime
- adapterOS produces cryptographically verifiable execution receipts
- The technology targets regulated AI deployments in healthcare, finance, and legal
- James's research focuses on making AI auditable through determinism, not alignment
- "Auditability is more important than alignment" - core philosophy