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SHRINE

Stable-Kernel Hosted Reasoning & Inference Network Environment

overarching LLM standards and strategies for the org

This field has a context window of its own: what you knew a month ago isn't wrong; it has simply scrolled out of attention. The only way to stay in the window is to keep showing up.

This is the org's shared home for you and your agents, a guiding light for anyone growing their understanding, and an open forum for how we build with AI in a landscape that reinvents itself every few months. Staying current here isn't a nice-to-have. It's a discipline, and one we practice together.

North Star: TTV (Tokens to Value)

Maximize value per win, where a win costs tokens plus human attention. Get this right and cost takes care of itself.

  • Cutting tokens caps capability along with spend
  • Maximizing value per win improves cost and quality
  • Every tool choice, workflow, and practice we discuss gets measured against TTV

How This Works

  • Documentation: Ratified principles and patterns; draft stack guidance
  • Governance: The official process for proposing, refining, and ratifying content
  • Discussions: The living forum where ideas are shaped before they solidify
  • Disagreement is welcome. Nobody sees the whole board alone

If you've found a tool that changed how you work, a workflow that stopped paying for itself, or a claim that deserves scrutiny, bring it here.

This entire initiative requires constant tuning and contribution, stewardship will be a communal effort.

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LLM governance and tooling strategy for the org

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