AI Intent Monetization System — Fulfillment Certainty Standard
Status: Canonical Specification
Version: v1.0.1
Maintainer / Author: Mahmoud Ezz
Scope: Protocol · Cognitive Safety · Economic Integrity
AIMAS (AI Intent Monetization System) is a protocol-level standard for transforming human intent into deterministic, monetizable certainty.
Unlike marketplaces, search engines, or recommender systems, AIMAS does not rank options or sell visibility.
It computes resolution paths using a mathematical fitting model and monetizes:
- Time compression (ETA)
- Probability of success
- Confidence and handling guarantees
- Sensitivity-aware routing
The output of AIMAS is not a list — it is a Fit Matrix.
Modern digital economies monetize attention, confusion, surveillance, and click-through behavior.
This produces low-quality leads, mispriced intent, manipulative ranking systems, and psychologically unsafe memory retention.
AIMAS replaces this model.
AIMAS treats intent itself as currency and computes the certainty of fulfillment using a deterministic engine called the Calculated Fitting System (CFS).
Instead of asking “What should we show the user?” AIMAS asks:
“How likely is this intent to be resolved — and how fast?”
Every processed intent produces a Fit Matrix, which may include:
- ETA — Estimated Time to Fulfillment
- Success Probability (%) — Quantified certainty
- Confidence Level — System trust in its calculation
- Sensitivity Tag — Low / Medium / High / Critical
- Cost Tier — Free baseline or paid accelerator
Hard constraint: the system must always provide a Free Baseline Path. Monetization is optional, never forced.
AIMAS is not:
- A marketplace
- A search engine
- A recommendation algorithm
- A lead-generation platform
- An advertising system
AIMAS does not:
- Rank listings
- Sell attention
- Profile users for ads
- Store raw behavioral memory
AIMAS is governed by Forgetting Core Thinking (FCT) — a cognitive safety framework that enforces:
- Zero-Memory Architecture (no archival storage of raw intent or conversations)
- Reconstructive Recall (Relocation) (memory is rebuilt from meaning, not retrieved as data)
- Fade-In Overwrite (emotional sharpness decays while semantic meaning persists)
- Immutable Lineage (corrections occur via re-effective records, never deletion)
FCT is not a product. It is the safety law that makes AIMAS structurally non-extractive.
AIMAS operates as a living system composed of native organs:
- Fitting Agent — Orchestrates the lifecycle
- CFS (Calculated Fitting System) — Mathematical brain core
- NYK (Now Your Key) — Identity decision anchor
- Force Notes — Immutable nervous ledger (append-only)
- Was — Private reflex feedback (confidence calibration)
- Fairness Rule — Enforces free baseline availability
Each organ is formally specified in the RFC set.
/RFC— Canonical protocol specifications (RFC-0001..RFC-0007)/schemas— JSON data contracts (FCT-compliant)/compliance— Forbidden patterns & violation handling/docs— Cognitive laws, FCT, AIXSELF context/math— Formal equations & safety proofs
This repository is specification-first. It defines what must be true, not how to build a product.
- No raw intent archival
- No surveillance-based monetization
- No ranking-as-truth
- No deletion of cognitive history
- Full auditability via re-effective lineage
Violations are handled structurally, not by policy or moderation.
This protocol is intended for platform architects, AI safety researchers, economic system designers, and institutions seeking non-extractive AI models.
It is not intended as a drop-in SDK or consumer API.
© 2025 Mahmoud Ezz. All rights reserved.
This repository defines a canonical protocol specification. Implementations must conform to the published RFCs and schemas.
AIMAS does not optimize for engagement. It optimizes for resolution.
AIMAS does not predict behavior. It computes certainty.
AIMAS does not remember everything. It remembers only what is safe to remember.