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About KNIFE Overview

Documentation doesn't happen at the end of a project. Knowledge is created continuously — as a byproduct of everyday work, not as a separate task tacked on at the end. KNIFE (Knowledge Index For Enterprise) is a way to capture that byproduct before it's lost: a short, structured record (a "knife") written the moment the knowledge is fresh.

Instead of "I'll write it up once I have time" → you write it down right away, in a structure that's reusable, searchable, and shareable. With an AI assistant at hand (Claude, ChatGPT, and similar), this step is practically effortless — AI helps phrase it, fill in context, link it to other knifes. Knowledge that would otherwise stay stuck in your head or in a single chat thread is, minutes later, publicly available, searchable, and machine-readable too (llms.txt).

Who it's for​

Anyone — it isn't tied to a single course or a single team:

  • individuals who want to record their own knowledge as they go,
  • teams that don't want knowledge to disappear when someone leaves,
  • courses and projects (e.g. System Thinking in IT & Digital Fabrication — STHDF) that use the KNIFE framework as one of their platforms,
  • anyone who wants to document knowledge transparently as it happens, not in hindsight.

What you'll find here​

  • a stable entry point to individual KNIFE topics,
  • guides and procedures that remain valid long-term (not just for one course or team),
  • contributions at various stages of completion (backlog → inProgress → done → published) — a knife gets published even before it's finished, because work-in-progress knowledge still has value.

How to continue​

  • If you are new → start in the Help section.
  • Looking for a specific KNIFE → see the overview in the KNIFE contributions section of the main menu.