Canonical definition
Object-Bound Agentic Interfaces (OBAI) define a spatial computing framework in which physical objects act as persistent interface anchors that activate object-specific inventories containing app shortcuts, chromatic state signals, and agent-generated outputs, with generation occurring only after object-based reception.
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Abstract
OBAI introduces a post-smartphone interface paradigm in which interaction is no longer initiated through abstract containers, but through real-world objects that function as receiver nodes.
Each object activates a spatially bound inventory that integrates:
• app-level utilities
• chromatic state signals
• contextual actions
• agent-generated outputs
Generation is not immediate.
It is triggered only after object-based reception and contextual grounding.
This establishes a receiver-first interaction model in which AI outputs are not globally emitted, but spatially placed into object-specific contexts.
OBAI resolves the structural gap between agentic intelligence and environmental coherence by introducing the object as a persistent, living interface container.
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Core claim
When interaction detaches from environment, output becomes unstable.
When objects become receivers, output becomes coherent.
This shift is not optional.
It is structural.
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Main principle
OBAI-1 — Receiver-First Principle
All AI interaction is initiated through object-based reception before generation occurs.
The object:
• defines context
• stabilizes relevance
• determines output location
Generation follows presence.
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Interaction model
Minimal loop:
scan → reveal → select → generate → land → fade
Expanded:
1. object is observed or scanned
2. spatial inventory is revealed
3. user selects or inspects context
4. AI generates context-specific output
5. output is placed into the object inventory
6. state fades over time
Interaction becomes environmental rather than interface-driven.
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Architecture
1. Object Layer — Receiver Layer
Physical objects function as:
• entry points
• contextual anchors
• identity surfaces
Examples:
• PlayStation → gaming context
• refrigerator → consumption/logistics
• plant → temporal care cycles
• bag → movement/preparation
The object defines the semantic boundary.
2. Spatial Inventory Layer
Each object activates a persistent inventory containing:
• app shortcuts
• chromatic state markers
• contextual actions
• agent-generated outputs
This layer is:
• spatially anchored
• persistent
• dynamically evolving
State exists in place, not in menus.
3. Agentic Layer
Agents operate as:
• detectors (events, changes)
• interpreters (context relevance)
• producers (outputs, actions)
Agents do not output globally.
They land outputs into object-specific inventories.
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Chromatic vs symbolic interaction
Symbolic interaction
• detached from environment
• high entropy
• context-fragile
• notification-driven
Object-bound interaction
• environment-anchored
• low entropy
• context-stable
• presence-driven
OBAI replaces navigation with emergence.
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Receiver-first inversion
Traditional model:
input → generate → display
Object-bound model:
object → receive → contextualize → generate → land
The object is not the destination of output.
It is the condition for output.
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System properties
OBAI systems exhibit:
• situated intelligence
• persistent contextual memory
• chromatic low-symbolic signaling
• distributed environmental interfaces
• non-intrusive output delivery
Output becomes placement.
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Relation to prior art
Existing systems provide partial components:
• AR object recognition
• spatial UI anchoring
• multimodal AI
None implement:
• persistent object-bound inventories
• unified app + agent layers
• autonomous output landing
• receiver-first generation logic
OBAI is therefore not an extension.
It is a structural integration.
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Conceptual shift
From:
• app-centric computing
• feed-based interaction
• notification systems
• chat-based AI
To:
• object-centric computing
• environment-bound interaction
• ambient state signaling
• agentic contextual landing
Interface dissolves into environment.
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Example
Object: PlayStation
Inventory contains:
• game shortcuts
• friend presence indicators
• agent-generated recommendations
• communication actions
• live chromatic states
Agent detects new game →
lands result into object →
user opens →
generation occurs on demand
No global notification.
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Relation to reasoning systems
OBAI defines the interface layer.
It determines:
• where output appears
It does not define:
• how reasoning is performed
Underlying reasoning systems may structure output before landing, but OBAI governs spatial placement and emergence.
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Why this matters
As AI becomes:
• agentic
• persistent
• ambient
Output volume increases.
Without environmental anchoring:
• overload increases
• fragmentation increases
• instability increases
OBAI introduces:
• object as anchor
• environment as interface
• presence as filter
AI shifts from producing outputs
to placing meaning.
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Thermodynamic law
OBAI-Law
An agentic system becomes environmentally stable when output generation is delayed until object-based reception and spatially resolved through persistent inventories.
Stability emerges through placement, not production.
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Key claims
• objects are the primary interface anchors
• generation must follow reception
• output must land in context
• chromatic signaling replaces notifications
• environment becomes the interface layer
• agentic systems require spatial grounding
• presence determines relevance
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Minimal model
object
→ receive
→ contextualize
→ generate
→ land
→ fade
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One-sentence summary
OBAI defines how physical objects become interface anchors that receive context first, enabling AI to generate and place outputs exactly where they belong.
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Keywords
object-bound interface
spatial computing
agentic AI
ambient interface
receiver-first systems
contextual AI
chromatic signaling
spatial inventory
post-smartphone UI
environmental computing
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Canonical statement
Object-Bound Agentic Interfaces define the thermodynamic transition in which interaction moves from abstract generation to environment-bound reception, and meaning is placed rather than produced.
Zenodo
Eissens, R. (2026). Object-Bound Agentic Interfaces: Receiver-First Spatial Inventories for Post-Smartphone Computing (1.0). Zenodo. https://doi.org/10.5281/zenodo.19500161
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Derived from the Raynor Stack ·
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