Positions
Philosophical statements on AI, judgement, and how domain expertise should shape the tools we build.
Open Source and Licensing
Three Koher tools are under MIT. Every tool released after 5 April 2026 is under AGPL-3.0. The split is a settled position with specific reasons. Why two licences, and what the split means for you.
Knowing Why
The industry is racing to make AI output better — more models, better orchestration, higher benchmarks. But better output and visible judgement are different things.
The Envelope of the Prompt
Why prompts have a ceiling — and why the interesting work begins there. A prompt is a request, not a mechanism. Knowing the difference is the first real design decision.
The Hallucination Proof
OpenAI proved that AI hallucination is mathematically inevitable. This is why Koher separates language from judgement — so hallucination happens only where it cannot cause harm.
The Parameterisation Gap
Why AI will always need an adapter between what it computes and what humans live. Not because AI is limited, but because human experience exceeds what can be parameterised.
When Students Trust ChatGPT More Than Teachers
Why auditable feedback available 24/7 — even at 40% of a professor's quality — beats opaque AI encouragement that helps no one.
Being Around
Why staying matters more than scaling. A position on compounding practice and refusing the exit ramps that expectations create.
Koher Architecture Specification
A philosophy for building AI tools that separate language from judgement — so domain expertise stays central, not decorative.