Andrew Fribush

fig. 2.13.3: the AIX maturity model as a ladder, with the contract verbs and production proofs that carried each level

fig. 2.13.3 · the AIX maturity model as a ladder, with the contract verbs and production proofs that carried each level.
L1 TO L3 HELD, L4’S PRIMITIVES LIVEONE STEP IS ONE LEVEL OF THE MATURITY MODEL; ACCENT STEPS WERE HELD ACROSS THEWHOLE SURFACE; BESIDE EACH, ONE RECEIPT.L4 DELEGATION-NATIVE · PRIMITIVES LIVETOKEN CREATE: A CHILD NEVER EXCEEDS ITS PARENT IN SCOPE, GRANTS OR EXPIRYL3 RECONCILABLE AND OBSERVABLEESTATE SNAPSHOT TO RESTORE, PROVEN IN PRODUCTIONL2 CORRECTIVE AND IDEMPOTENT42 ERROR CODES, EACH WITH RETRYABLEL1 DISCOVERABLE56 VERBS CATALOGUED WITH SCOPE, ACTION AND ARGSL0 OPERABLETHE FLOOR: MOST REST APIS STOP HERE

L4 Delegation-native, agents mint, scope, budget and revoke other agents’ access without human ceremony, safely, with auditable lineage. token create: child never exceeds parent in scope, grants or expiry; token revoke cascades; lineage depth capped at 8; per-token spend budget at the proxy’s 402 pre-auth, proven on real streams.L3 Reconcilable and observable, an amnesiac agent rebuilds full situational awareness and converges state. ps: desired against actual per worker; audit: a token reads its own lineage and spend; estate snapshot to restore, proven in production.L2 Corrective and idempotent, failures teach; retries, replays and concurrent self-races are safe everywhere. 42 error codes, each with retryable; up idempotent on idempotency_key; deploy converges on deploy_key.L1 Discoverable, a cold agent finds what exists and what it may do from the surface alone, without a failed write. me and capabilities, never gated; 56 verbs catalogued with scope, action and args; contract version 1.20.0.L0 Operable, works if you already know it. most REST APIs.

source: creelshed b2835ab · AIX.md lines 182-206 (maturity model) · operator-contract.ts lines 124, 203-815, 817-860, 322, 352, 563, 577 · operator-grants.ts line 85 · SALVAGE.md lines 104-107 (live-proven) · maturityLadder.data.ts

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Andrew Fribush, software and computer engineer in Austin. I build consequential systems where software meets institutions: finance, healthcare, commerce, government data, and the mechanisms that govern AI agents. Taking new engagements: hello@andrewfribush.com.