Human Capability Preservation Standard

AI should strengthen human thinking,not replace it.

AI is becoming capable of tasks that once needed human judgement. Most of the conversation is about what AI can do. HCPS asks a different question.

What happens to human capability when machines can replace it? If AI routinely thinks, decides, and reasons on our behalf, people may slowly contribute less of their own judgement, and lose the habit of it. HCPS exists to define a different path: AI that makes people sharper, not more dependent.

The HCPS principle

Human judgement stays central

The person remains the one who decides. The tool never quietly takes that over.

AI helps surface reasoning

It asks, clarifies, and makes assumptions and uncertainty visible, rather than handing over an answer.

Capability strengthens over time

Used this way, your own thinking grows stronger with use, not weaker, until you have a whole grove of it.

What HCPS looks like in practice

A system aligned with HCPS:

Arbor Wise: a worked example

Arbor Wise is an early example of HCPS in practice. Instead of generating recommendations, it guides you through a structured thinking process and produces a decision record you control.

Arbor Wise is not HCPS itself. It’s one example of what HCPS-aligned design can look like. It’s being used as a reference implementation while the standard continues to develop.

See how Arbor Wise works

Why this matters

The direction AI takes will shape how people think, decide, and act. HCPS exists to keep that direction pointed at strengthening human capability rather than quietly replacing it.

HCPS is an open standard

HCPS is still evolving. The goal isn’t to restrict what AI can do. It’s to make sure AI strengthens human capability alongside its own. Read it, challenge the assumptions, and help improve it.

Public draft, version 0.1. Transparency is intentional.

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