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The CRAIGS Index
Record Integrity | Provable State | Reconstruction Failure
Apr 28
•
CRAIGS LLC
[FOUNDATION] Canonical Systems vs. Interpretive Systems
There are two kinds of systems in the world.
Apr 27
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CRAIGS LLC
[FOUNDATION] CRAIGS: Definition and Scope
CRAIGS is a framework for record integrity, provenance, and why reconstruction fails under scrutiny.
Apr 26
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CRAIGS LLC
[FOUNDATION] Before We Govern AI, We Need to Verify Our Records
Organizations today are investing heavily in AI governance, compliance frameworks, and data oversight.
Apr 25
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CRAIGS LLC
[FOUNDATION] What CRAIGS Is — And What It Refuses to Be
Over the past few essays, I’ve described four structural properties that CRAIGS enforces:
Apr 24
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CRAIGS LLC
[DRIFT] Why Provenance Matters More Than Summaries
Most people think the problem is “too much information.”
Apr 23
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CRAIGS LLC
[DRIFT] Traceability: Every Page Points Back to Its Source
Most systems don’t fail under attack.
Apr 22
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CRAIGS LLC
[DRIFT] When Systems Treat Thinking as Truth
Most systems do not distinguish thinking from truth.
Apr 21
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CRAIGS LLC
[ORDER] Determinism: Same Inputs, Same Bundle
Most systems promise accuracy.
Apr 21
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CRAIGS LLC
[ORDER] Why Evidence Must Be Assembled, Not Collected
Most institutional failures aren’t caused by false records.
Apr 20
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CRAIGS LLC
[AUDIT] Why Append-Only History Eliminates Silent Drift
Most failures that surface as audit problems did not begin as audit problems.
Apr 19
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CRAIGS LLC
[CONSEQUENCE] When Records Move from Description to Action
Most systems treat records as descriptions.
Apr 18
•
CRAIGS LLC
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