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QP-084 • PF-05 Schema

Make Spatial AI Inputs, Targets, and Permissions Clear

Official Q product: Q Spatial Intelligence Contract & Schema Pack

This is a set of structured templates that helps an AI system describe where things are, what it can see, what it is targeting, and what actions are allowed.

Good for: AI developers, immersive/3D and WebXR teams, digital-twin builders, industrial software teams, and robotics integrators
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Level 1 · Discover · Free

What is this, and why might you need it?

Start here. No purchase is required to understand the product.

What it is

This is a set of structured templates that helps an AI system describe where things are, what it can see, what it is targeting, and what actions are allowed.

What problem it helps with

Make spatial information clear and reviewable instead of hiding location, targets, confidence, and allowed actions inside unstructured text.

Who it is for

AI developers, immersive/3D and WebXR teams, digital-twin builders, industrial software teams, and robotics integrators

Important limits

The schemas do not prove sensor accuracy, localization quality, perception quality, field safety, or production readiness. Real sensor calibration and hardware-in-loop validation remain open.
Continue to Level 2: Learn & Evaluate →
Level 2 · Learn & Evaluate · Free

Study it before you buy it.

This is the pre-purchase learning and decision layer. It stays public even when the complete package is not yet ready to order.

Two-minute study

QP-084 — Q Spatial Intelligence Contract & Schema Pack
TWO-MINUTE RESEARCH PAPER · 0.1.0-r1 · 2026-09-25
STATUS: CANDIDATE RESEARCH — HUMAN/INDEPENDENT REVIEW REQUIRED

WHAT IT IS
This is a set of structured templates that helps an AI system describe where things are, what it can see, what it is targeting, and what actions are allowed.

PROBLEM
Make spatial information clear and reviewable instead of hiding location, targets, confidence, and allowed actions inside unstructured text.

WHO IT IS FOR
AI developers, immersive/3D and WebXR teams, digital-twin builders, industrial software teams, and robotics integrators

WHY IT MATTERS
AI-enabled work can fail through weak evidence, stale information, unclear authority, privacy/security gaps, overconfident outputs, or automation that becomes practically irreversible. NIST's AI RMF provides a lifecycle risk-management frame; Q10 applies that direction by requiring explicit scope, evidence, human authority, limitations, review dates, stop conditions, and rollback.

HOW IT WORKS
Name a human owner; define scope; record evidence, unknowns and contradictions; define permissions and prohibited actions; run baseline and adversarial tests; patch and retest; record residual risk; create a dated release receipt; set a review/TTL date.

VALIDATION STATE
The listing does not claim field validation. Real sensor calibration and hardware-in-loop validation remain open.
Generated research does not upgrade that evidence.

RISKS / FAILURE MODES
Scope creep; evidence drift; stale sources; authority escalation; false-clear from passing tests; privacy leakage; insecure dependencies; common-mode failure; reviewer fatigue; inaccessible interfaces; rollback failure; unsupported claims repeated as fact.

HUMAN CONTROL
A named human retains consequential approval, override, stop, release, and rollback authority.

KNOWN LIMITS
The schemas do not prove sensor accuracy, localization quality, perception quality, field safety, or production readiness. Real sensor calibration and hardware-in-loop validation remain open.

REFERENCE BASIS
NIST AI Risk Management Framework 1.0; NIST Generative AI Profile; NIST Privacy Framework; NIST Cybersecurity Framework 2.0; OWASP Top 10 for LLM and GenAI; UNICEF Guidance on AI and Children v3.

BOUNDARY
Research/education material only. Not legal, medical, financial, engineering, safety-certification, or regulatory advice.
Open buyer / research paper

How it works

A separate operating explanation has not yet been recorded for this product. Review the buyer/research paper and technical details below for the currently documented implementation information.

AI boundaries & human responsibility

AI-specific allowed/not-allowed actions have not yet been separately recorded for this listing.

Risks, limits & failure modes

The schemas do not prove sensor accuracy, localization quality, perception quality, field safety, or production readiness. Real sensor calibration and hardware-in-loop validation remain open.

Failure modes: no separate failure-mode record has been published for this listing yet.

Dependencies, compatibility & deployment

Dependencies: not separately recorded.

Evidence, testing & provenance

The listing does not claim field validation. Real sensor calibration and hardware-in-loop validation remain open.

Provenance:
Live Shopify product QP-084; tagged Q10_FACTORY_V3_1 and PUBLIC_ARTIFACT_EDITION. It was not matched to the Product Factory v3.0 100 Product Rebuild Queue used for the current buyer-spec batch.

Independent validation: No independent-validation status has been recorded; no independent validation is claimed by this listing.

Resources, privacy & security

Separate resource/energy requirements are not yet recorded on this listing.

Privacy and security obligations depend on the product and deployment. Where they have not yet been versioned in the legal/disclosure manifest, they remain an open pre-sale requirement rather than an implied promise.

What the complete package is expected to include

Spatial-context schema; action-envelope schema; embodiment manifest template; source, timestamp, TTL, confidence and target-binding rules; physical-control preconditions; adapter and provenance integration guidance.

Price, license, support & updates

Price / pricing method: $149

License: Not yet recorded as a versioned license model.

Legal, rights & disclosures

A plain-language legal summary has not yet been versioned for this product.

Legal manifest status: LEGAL_SNAPSHOT_NOT_YET_VERSIONED

← Level 1Continue to Level 3: Complete Package →
Level 3 · Complete Q Package

The order must deliver the complete promised package.

Level 3 is fulfillment, not more marketing. An email, request form, quote request, or buyer paper is not the purchased package.

What this version promises

Spatial-context schema; action-envelope schema; embodiment manifest template; source, timestamp, TTL, confidence and target-binding rules; physical-control preconditions; adapter and provenance integration guidance.

Product version: 0.1.0

Order readiness

NOT READY TO ORDER YET

This listing stays open for Discover and Learn & Evaluate, but Q will not treat Level 3 as sale-ready until the complete-package proof is finished.

Package contents + version
Recorded
Fulfillment manifest
PACKAGE_NOT_LOCATED__REBUILD_OR_BIND_REQUIRED · manifest file missing
Legal/disclosure manifest
LEGAL_SNAPSHOT_NOT_YET_VERSIONED · legal snapshot file missing
Delivery path
NOT_VERIFIED
Checkout release
Not released
Release gate
Not cleared

Planning or configuring is not an order and does not count as fulfillment.

MIX + MATCH

Build around this product.

Add related Q capabilities without needing to understand the internal architecture first.

Works well with
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Organize an Important Decision

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Request access • estimate after scope if services are needed
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Prove Your Records Can Be Recovered

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PRODUCT FACTS + Q METADATA

Exact record behind the plain-language page.

This machine-readable core supports search, Q Builder, compatibility checks, provenance, legal snapshots, fulfillment, and lifecycle control. Open it only if you want the detail.

Open product facts & metadata
Q IDQP-084
Official Q nameQ Spatial Intelligence Contract & Schema Pack
Version0.1.0
Form / familyPF-05 Schema · QF-10
Q DNANot recorded
Metadata contractNot recorded
Authority / human controlNot separately recorded
MaturityNot recorded
Capability rolesFOUNDATION IMPLEMENTATION DOMAIN
Access / licenseNot recorded
Independent validationNot recorded / not claimed
Legal manifestLEGAL_SNAPSHOT_NOT_YET_VERSIONED
Fulfillment manifestPACKAGE_NOT_LOCATED__REBUILD_OR_BIND_REQUIRED
Delivery / checkoutNOT_VERIFIED · Not released
THE Q PATH

Discover → Learn & Evaluate → Complete Package.

Stop after learning, save it to My Q, combine it with other Q products, or order the complete implementation only when its delivery gate is actually ready.

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