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specs/InteractionHubFrameworkSpecification_v0.1.md
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specs/InteractionHubFrameworkSpecification_v0.1.md
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InteractionHubFramework
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*Inter*
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# Interaction Hub Framework (IHF)
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*Formal Specification with Phased Implementation Plan*
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**Version:** 0.1
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**Status:** Draft Foundation Specification
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**Purpose:** Establish a governed, observable, antifragile interaction substrate for hub-based AI-enabled software systems.
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---
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## 1. Definition
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The **Interaction Hub Framework (IHF)** is a platform framework for building **commentable, observable, governable, and evolvable user interaction systems**.
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It provides a stable core for:
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* addressing UI elements as governed platform assets
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* capturing user feedback and interaction signals in context
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* transforming observed friction and intent into structured requirements
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* connecting requirements to decisions, implementations, deployments, and outcomes
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* supporting multiple evolving UI technologies without losing semantic continuity
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The IHF is intended to serve as the **interaction substrate** of a hub-based AI factory, especially in environments where product development, operations, governance, finance, security, and AI-assisted workflows interact continuously.
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---
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## 2. Design Intent
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The framework is designed to support the following long-term properties:
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**Stable semantic core**
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UI technologies may change, but interaction semantics, traceability, and governance remain stable.
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**Antifragility**
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The system should improve through systematically captured friction, confusion, unmet expectations, and emergent user needs.
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**Observability by design**
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Interaction, feedback, and governance events are first-class operational signals.
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**Governance by design**
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Requirements, decisions, policy concerns, and implementation consequences remain linked and auditable.
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**Agent compatibility**
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AI agents should be able to inspect, interpret, propose, implement, review, and monitor changes within explicit boundaries.
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**Framework independence at the edge**
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The core must not be irreversibly coupled to a specific long-term frontend framework.
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---
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## 3. Context
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The Interaction Hub Framework sits at the intersection of:
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* application platform architecture
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* requirements engineering
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* interaction design systems
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* observability engineering
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* workflow and governance systems
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* agentic software delivery
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It is especially suitable for:
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* control surfaces
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* dashboards
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* internal platforms
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* AI-assisted operations portals
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* workflow-heavy enterprise systems
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* hub-based socio-technical systems
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* platforms where user feedback must become implementation input
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---
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## 4. Scope
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### 4.1 In Scope
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The IHF includes:
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* widget identity and lifecycle governance
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* interaction event capture
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* comment and annotation capture
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* structured feedback classification
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* requirement candidate generation and linking
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* decision ledger integration
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* implementation traceability
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* rollout and outcome observation
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* realtime operational interaction surfaces
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* cross-hub integration of interaction signals
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* AI-assisted distillation and prioritization workflows
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* platform APIs and conventions for framework-agnostic UI integration
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### 4.2 Out of Scope
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The IHF does not attempt to define:
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* a complete universal frontend framework
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* a pixel-level visual design system
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* a full product management methodology
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* a replacement for DevOps observability tooling
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* unrestricted autonomous decision-making by AI agents
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* a mandatory single UI technology for all surfaces
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---
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## 5. Core Architectural Principle
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The core principle of IHF is:
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> **Every meaningful interaction surface must be semantically addressable, contextually observable, governable, and evolvable.**
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This means that a renderable UI unit is not treated merely as markup or code. It is treated as a **governed interaction artifact**.
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---
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## 6. Key Concepts
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## 6.1 Hub
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A **Hub** is a bounded domain of responsibility within the wider platform.
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Examples:
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* Dev Hub
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* Ops Hub
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* Sec Hub
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* Fin Hub
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* State Hub
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* Governance Hub
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A Hub owns capabilities, policies, widgets, workflows, and observation surfaces within its domain.
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## 6.2 Widget
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A **Widget** is the smallest semantically governable interaction unit that is intentionally addressable by the framework.
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A Widget may be:
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* a chart
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* a status panel
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* a form
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* a table
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* an action control
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* a composite operator panel
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* a workflow step display
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* an embedded recommendation block
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* a chat interaction region
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* a diff or review element
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A Widget is not defined by its visual implementation alone. It is defined by its **semantic role and governed identity**.
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## 6.3 Widget Envelope
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A **Widget Envelope** is the metadata boundary attached to a Widget that enables observation and governance.
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A Widget Envelope should carry at least:
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* `widget_id`
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* `widget_type`
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* `hub_id`
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* `capability_ref`
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* `view_context`
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* `state_ref` or equivalent context reference
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* `policy_scope`
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* `widget_version`
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* `implementation_ref`
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* optional `experiment_variant`
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* optional `requirements_thread_ref`
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## 6.4 Interaction Event
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An **Interaction Event** is a recorded user or agent interaction involving a Widget.
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Examples:
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* viewed
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* focused
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* clicked
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* submitted
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* abandoned
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* retried
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* failed
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* commented
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* flagged_confusing
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* flagged_helpful
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* blocked_by_policy
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* escalated
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* accepted_recommendation
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* rejected_recommendation
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## 6.5 Annotation
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An **Annotation** is a structured comment or signal attached to a Widget, a Widget region, a Widget state, or an interaction sequence.
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Annotations are richer than free-form comments and may include classification, intensity, intent, and contextual linkage.
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## 6.6 Requirement Candidate
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A **Requirement Candidate** is a structured artifact derived from observed interaction signals, annotations, or analysis.
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It may represent:
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* a usability issue
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* a documentation gap
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* a missing capability
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* a policy conflict
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* a trust deficit
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* a workflow bottleneck
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* an accessibility concern
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* a governance concern
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* a product opportunity
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## 6.7 Decision Record
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A **Decision Record** captures the resolution, rejection, deferral, or transformation of a Requirement Candidate or related issue.
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## 6.8 Outcome Signal
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An **Outcome Signal** is an observed post-change indicator showing whether a change improved or degraded the system.
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Examples:
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* reduced abandonment
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* improved task completion
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* reduced confusion flags
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* increased operator trust
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* increased escalation rate
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* reduced policy violation frequency
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---
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## 7. Intended System Role
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Within the broader hub-based AI factory, IHF serves as the **interaction core** that connects:
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* user experience
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* operator workflows
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* governance
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* observability
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* requirements evolution
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* AI-assisted implementation
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It is the layer where interaction becomes inspectable and improvable instead of disappearing into unstructured usage.
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---
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## 8. Alignment with Orthogonal Architecture
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## 8.1 Stack Dimension
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IHF primarily occupies:
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* application platform layer
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* workflow and governance services layer
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* observability-integrated interaction layer
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## 8.2 Quality Dimension
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IHF strongly concerns:
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* observability
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* auditability
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* evolvability
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* governability
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* security
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* traceability
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* usability
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* resilience
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## 8.3 Logic Dimension
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IHF spans:
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* interaction semantics
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* workflow coordination
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* requirements distillation
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* decision traceability
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* feedback processing
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* cross-hub visibility
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---
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## 9. Core Modules
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## 9.1 Widget Registry Module
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Maintains the authoritative catalog of Widgets.
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Responsibilities:
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* widget registration
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* semantic identity assignment
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* ownership tracking
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* lifecycle state management
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* versioning
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* deprecation relationships
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* capability linkage
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* policy scope linkage
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## 9.2 Interaction Capture Module
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Captures structured interaction events.
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Responsibilities:
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* event ingestion
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* event validation
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* actor attribution
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* contextual enrichment
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* correlation with widget and view context
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* storage in append-only form where appropriate
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## 9.3 Annotation Module
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Captures free-form and structured comments tied to interaction surfaces.
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Responsibilities:
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* widget-level annotation
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* state-level annotation
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* region-level annotation where supported
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* category assignment
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* severity or intensity assignment
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* actor identity linkage
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* artifact linkage
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## 9.4 Requirements Distillation Module
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Transforms raw feedback into structured requirement artifacts.
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Responsibilities:
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* clustering
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* duplicate detection
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* issue framing
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* proposal drafting
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* metadata enrichment
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* confidence scoring
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* reviewer workflow integration
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## 9.5 Governance Ledger Module
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Provides traceable decision and policy linkage.
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Responsibilities:
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* record decisions
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* connect decisions to requirements
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* connect requirements to implementations
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* connect implementations to deployments and outcomes
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* preserve reviewable justification
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## 9.6 Outcome Observation Module
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Observes changes after rollout.
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Responsibilities:
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* compare pre-change and post-change signals
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* track effect metrics
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* flag regressions
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* support experiment and rollout review
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## 9.7 Realtime Coordination Module
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Supports operationally live hub surfaces.
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Responsibilities:
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* realtime widget refresh
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* queue and workflow updates
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* collaborative review surfaces
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* live issue boards
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* moderation and triage views
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## 9.8 Agent Integration Module
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Provides boundaries for AI-assisted work.
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Responsibilities:
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* issue summarization
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* requirement drafting
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* clustering and prioritization support
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* traceability assistance
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* proposal generation
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* bounded remediation suggestions
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---
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## 10. Canonical Artifact Types
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The framework should standardize at least these artifact types:
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* Widget
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* WidgetVersion
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* InteractionEvent
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* Annotation
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* AnnotationThread
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* RequirementCandidate
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* Requirement
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* DecisionRecord
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* ImplementationChange
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* DeploymentRecord
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* OutcomeSignal
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* PolicyReference
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* CapabilityReference
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* ViewContext
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These artifacts should be linkable by stable identifiers.
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---
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## 11. Canonical Traceability Chain
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The framework should support the following traceability chain:
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`Widget -> InteractionEvent / Annotation -> RequirementCandidate -> DecisionRecord -> ImplementationChange -> DeploymentRecord -> OutcomeSignal`
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This chain is central to governance and antifragility.
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---
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## 12. Architectural Constraints
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The following constraints apply to all implementations of IHF.
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### 12.1 Stable Semantic Identity
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Widget identity must be stable across implementation changes where semantic continuity remains.
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### 12.2 Separation of Semantics from Presentation
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The framework must distinguish between:
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* what a Widget means
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* how a Widget is visually rendered
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### 12.3 Audit-Preserving Evolution
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Changes to requirements, decisions, and widget lineage must preserve historical traceability.
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### 12.4 Explicit Actor Attribution
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Interaction and decision artifacts must clearly distinguish:
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* human user
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* operator
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* reviewer
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* AI agent
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* automation process
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* anonymous or low-trust actor where applicable
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### 12.5 Governed AI Assistance
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AI-generated proposals must remain attributable and reviewable.
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### 12.6 Append-Oriented Event Storage
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Interaction events and key governance events should prefer append-oriented recording patterns.
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### 12.7 UI Framework Adaptability
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No long-term implementation should assume that one UI framework remains permanent.
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---
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## 13. Reference Technology Direction
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The initial reference implementation is intended to use:
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* **IHP** as server-centered application framework
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* **PostgreSQL** as canonical relational and event-linked datastore
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* IHP-supported realtime and server-side interaction capabilities for initial operational surfaces
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The reference implementation may later integrate:
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* richer client-side UI technologies
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* specialized visualization layers
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* external observability systems
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* message buses and workflow engines
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* AI inference and orchestration services
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The IHF specification remains broader than the first implementation.
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---
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# 14. Phased Implementation Plan
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## Phase 0 — Concept Foundation
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### Goal
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Create a coherent conceptual and structural baseline before coding the full platform core.
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### Objectives
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* define vocabulary
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* define artifact model
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* define hub alignment
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* define minimum traceability chain
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* define widget identity rules
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* define initial governance principles
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### Deliverables
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* IHF specification draft
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* canonical glossary
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* artifact inventory
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||||
* initial domain model
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||||
* naming and ID conventions
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||||
* initial boundary diagram
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||||
* first risk register
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### Exit Criteria
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||||
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||||
* terminology is stable enough for repository creation
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* artifact set is sufficient for early implementation
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* phase 1 data model can be derived without conceptual ambiguity
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---
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## Phase 1 — Minimal Interaction Core
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### Goal
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||||
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||||
Implement the minimum viable governed interaction substrate.
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||||
### Scope
|
||||
|
||||
* widget registry
|
||||
* widget envelope convention
|
||||
* interaction event capture
|
||||
* basic annotation support
|
||||
* hub and capability references
|
||||
* initial operator-facing dashboard
|
||||
* manual traceability from widget to annotation
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||||
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||||
### Functional Capabilities
|
||||
|
||||
* register a widget
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* render widget metadata into UI surfaces
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||||
* capture basic interaction events
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||||
* allow comments on a widget
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||||
* list widget feedback by hub and capability
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||||
* attribute feedback to actor and context
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||||
* inspect interaction history for a widget
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||||
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||||
### Data Artifacts Introduced
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||||
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||||
* Widget
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* WidgetVersion
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* InteractionEvent
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* Annotation
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||||
* Hub
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||||
* CapabilityReference
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* ViewContext
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### Recommended UI
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||||
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||||
* simple server-rendered IHP pages
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||||
* minimal interactive enhancements
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||||
* operational review screens before polished end-user surfaces
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||||
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||||
### Exit Criteria
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||||
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||||
* widgets can be addressed and commented reliably
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||||
* interaction data is captured with context
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||||
* hub-level inspection of interaction signals is possible
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||||
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||||
---
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||||
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||||
## Phase 2 — Structured Feedback and Triage
|
||||
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||||
### Goal
|
||||
|
||||
Transform raw comments into structured, operable feedback.
|
||||
|
||||
### Scope
|
||||
|
||||
* annotation categories
|
||||
* annotation threads
|
||||
* severity or intensity markers
|
||||
* triage workflow
|
||||
* duplicate grouping
|
||||
* operator review views
|
||||
* basic requirement candidate creation
|
||||
|
||||
### Functional Capabilities
|
||||
|
||||
* categorize comments as friction, defect, wish, policy concern, trust issue, documentation gap, or other controlled classes
|
||||
* group similar observations
|
||||
* assign triage status
|
||||
* escalate issues into Requirement Candidates
|
||||
* track reviewer decisions
|
||||
|
||||
### Data Artifacts Introduced
|
||||
|
||||
* AnnotationThread
|
||||
* RequirementCandidate
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||||
* TriageState
|
||||
* ReviewerAssignment
|
||||
|
||||
### Exit Criteria
|
||||
|
||||
* feedback volume can be triaged rather than merely stored
|
||||
* multiple related comments can converge into a structured candidate
|
||||
* reviewers can track status and ownership
|
||||
|
||||
---
|
||||
|
||||
## Phase 3 — Governance and Decision Linkage
|
||||
|
||||
### Goal
|
||||
|
||||
Make the framework governance-capable rather than feedback-capable only.
|
||||
|
||||
### Scope
|
||||
|
||||
* decision records
|
||||
* policy references
|
||||
* capability-linked decisions
|
||||
* implementation references
|
||||
* requirement promotion workflow
|
||||
* audit trail screens
|
||||
|
||||
### Functional Capabilities
|
||||
|
||||
* create formal Decision Records
|
||||
* link Requirement Candidates to decisions
|
||||
* record acceptance, rejection, deferral, split, merge, and reframe outcomes
|
||||
* connect decisions to implementation work items
|
||||
* maintain reviewable rationale
|
||||
|
||||
### Data Artifacts Introduced
|
||||
|
||||
* DecisionRecord
|
||||
* PolicyReference
|
||||
* Requirement
|
||||
* ImplementationChangeReference
|
||||
|
||||
### Exit Criteria
|
||||
|
||||
* the system can explain why a requirement was or was not acted upon
|
||||
* governance records are linked to observed interaction issues
|
||||
* decision history is inspectable by hub
|
||||
|
||||
---
|
||||
|
||||
## Phase 4 — Outcome Observation and Antifragility Loop
|
||||
|
||||
### Goal
|
||||
|
||||
Close the improvement loop by observing whether implemented changes helped.
|
||||
|
||||
### Scope
|
||||
|
||||
* deployment linkage
|
||||
* pre/post change comparison
|
||||
* outcome signals
|
||||
* regression detection
|
||||
* issue recurrence tracking
|
||||
* change effectiveness dashboards
|
||||
|
||||
### Functional Capabilities
|
||||
|
||||
* connect implementation changes to deployed versions
|
||||
* observe outcome signals after rollout
|
||||
* compare interaction behavior before and after change
|
||||
* detect repeated unresolved friction
|
||||
* score changes by observed effect
|
||||
|
||||
### Data Artifacts Introduced
|
||||
|
||||
* DeploymentRecord
|
||||
* OutcomeSignal
|
||||
* ChangeEvaluation
|
||||
|
||||
### Exit Criteria
|
||||
|
||||
* the platform can determine whether a change improved outcomes
|
||||
* recurrent friction becomes visible
|
||||
* the system supports evidence-based UI evolution
|
||||
|
||||
---
|
||||
|
||||
## Phase 5 — Agent-Assisted Distillation and Suggestion
|
||||
|
||||
### Goal
|
||||
|
||||
Introduce bounded AI support into the interaction-governance loop.
|
||||
|
||||
### Scope
|
||||
|
||||
* summarization of feedback clusters
|
||||
* AI-drafted requirement candidates
|
||||
* AI-assisted prioritization suggestions
|
||||
* policy conflict detection assistance
|
||||
* traceability-aware implementation proposal drafts
|
||||
|
||||
### Functional Capabilities
|
||||
|
||||
* generate summaries for feedback clusters
|
||||
* draft requirement descriptions
|
||||
* suggest likely duplicates
|
||||
* identify policy-sensitive issues
|
||||
* propose candidate implementation paths with traceability references
|
||||
|
||||
### Governance Constraints
|
||||
|
||||
* all AI outputs must be attributable
|
||||
* no silent requirement promotion
|
||||
* no autonomous final decisions
|
||||
* all AI-originated artifacts remain reviewable and reversible
|
||||
|
||||
### Data Artifacts Introduced
|
||||
|
||||
* AgentProposal
|
||||
* AgentReviewRecord
|
||||
* ConfidenceAnnotation
|
||||
|
||||
### Exit Criteria
|
||||
|
||||
* AI assistance reduces triage and synthesis burden
|
||||
* human reviewers remain in control
|
||||
* AI outputs are auditable and attributable
|
||||
|
||||
---
|
||||
|
||||
## Phase 6 — Cross-Framework UI Adaptation Layer
|
||||
|
||||
### Goal
|
||||
|
||||
Ensure semantic continuity while the UI stack diversifies.
|
||||
|
||||
### Scope
|
||||
|
||||
* widget protocol adapters
|
||||
* metadata emission standards
|
||||
* client-side SDKs or thin adapters
|
||||
* cross-framework annotation launcher
|
||||
* standardized interaction reporting interface
|
||||
|
||||
### Functional Capabilities
|
||||
|
||||
* integrate React or other client-side components without losing widget identity
|
||||
* maintain annotation compatibility across surfaces
|
||||
* preserve traceability across multiple UI technologies
|
||||
* support mixed rendering strategies in one platform
|
||||
|
||||
### Artifacts Introduced
|
||||
|
||||
* WidgetAdapterSpec
|
||||
* InteractionReportingContract
|
||||
* EnvelopeEmissionContract
|
||||
|
||||
### Exit Criteria
|
||||
|
||||
* new UI technologies can participate without bypassing the IHF core
|
||||
* widget identity remains stable across frontend evolution
|
||||
* annotations and interaction events remain compatible
|
||||
|
||||
---
|
||||
|
||||
## Phase 7 — Advanced Observability and Operational Integration
|
||||
|
||||
### Goal
|
||||
|
||||
Integrate interaction governance with broader operational intelligence.
|
||||
|
||||
### Scope
|
||||
|
||||
* hub health correlation
|
||||
* policy violation correlation
|
||||
* workflow bottleneck analysis
|
||||
* interaction pain heatmaps
|
||||
* queue and job linkage
|
||||
* cross-hub issue propagation analysis
|
||||
|
||||
### Functional Capabilities
|
||||
|
||||
* correlate interaction friction with operational failures
|
||||
* expose widget pain concentration by hub
|
||||
* detect systemic workflow bottlenecks
|
||||
* support operational review boards across Dev, Ops, Sec, Fin, and Governance Hubs
|
||||
|
||||
### Exit Criteria
|
||||
|
||||
* interaction data informs operational decision-making
|
||||
* hub leaders can inspect systemic friction patterns
|
||||
* the platform supports cross-domain learning
|
||||
|
||||
---
|
||||
|
||||
## Phase 8 — Federated Hub Maturity
|
||||
|
||||
### Goal
|
||||
|
||||
Support mature multi-hub deployment in an AI factory context.
|
||||
|
||||
### Scope
|
||||
|
||||
* delegated ownership
|
||||
* multi-team governance
|
||||
* inter-hub requirement routing
|
||||
* federated policy overlays
|
||||
* mature reporting and stewardship roles
|
||||
* long-term archival and lineage inspection
|
||||
|
||||
### Functional Capabilities
|
||||
|
||||
* route issues across hubs
|
||||
* distinguish local and global widget ownership
|
||||
* support federated review workflows
|
||||
* maintain lineage through deprecations and hub restructures
|
||||
|
||||
### Exit Criteria
|
||||
|
||||
* the framework supports organizational scale
|
||||
* ownership and governance remain clear across hub boundaries
|
||||
* long-term platform memory is preserved
|
||||
|
||||
---
|
||||
|
||||
# 15. Suggested Repository and Workstream Structure
|
||||
|
||||
A practical initial structure could separate:
|
||||
|
||||
* `ihf-spec`
|
||||
* `ihf-core`
|
||||
* `ihf-widget-registry`
|
||||
* `ihf-interaction-capture`
|
||||
* `ihf-annotations`
|
||||
* `ihf-governance`
|
||||
* `ihf-observation`
|
||||
* `ihf-agent-assist`
|
||||
* `ihf-adapters`
|
||||
* `ihf-ops`
|
||||
|
||||
In a smaller start, these may begin in a single monorepo with clear internal module boundaries.
|
||||
|
||||
---
|
||||
|
||||
# 16. Priority Order for First Build
|
||||
|
||||
If you want the strongest early leverage, implement in this order:
|
||||
|
||||
1. Widget identity and envelope rules
|
||||
2. Widget registry
|
||||
3. Interaction event capture
|
||||
4. Annotation system
|
||||
5. Hub review dashboard
|
||||
6. Requirement candidate creation
|
||||
7. Decision linkage
|
||||
8. Outcome observation
|
||||
|
||||
That order gives you a working feedback economy early.
|
||||
|
||||
---
|
||||
|
||||
# 17. Risks and Failure Modes
|
||||
|
||||
## 17.1 Overcoupling to First UI Implementation
|
||||
|
||||
Risk: the first rendering technology becomes the accidental permanent model.
|
||||
Mitigation: formalize envelope and reporting contracts early.
|
||||
|
||||
## 17.2 Comment Noise Without Distillation
|
||||
|
||||
Risk: large volumes of feedback create clutter.
|
||||
Mitigation: introduce structured categories and triage early.
|
||||
|
||||
## 17.3 AI Proposal Pollution
|
||||
|
||||
Risk: too many weak AI-generated candidates degrade trust.
|
||||
Mitigation: require attribution, confidence markers, and human review.
|
||||
|
||||
## 17.4 Broken Traceability
|
||||
|
||||
Risk: requirements and changes lose linkage over time.
|
||||
Mitigation: make traceability mandatory for promotion and rollout review.
|
||||
|
||||
## 17.5 Semantic Drift of Widgets
|
||||
|
||||
Risk: widget IDs stop reflecting actual continuity.
|
||||
Mitigation: define lineage and deprecation rules.
|
||||
|
||||
---
|
||||
|
||||
# 18. Success Criteria
|
||||
|
||||
The Interaction Hub Framework is successful when:
|
||||
|
||||
* meaningful UI units are stably addressable
|
||||
* users and operators can comment in context
|
||||
* feedback becomes structured requirements rather than dead text
|
||||
* decisions remain reviewable and linked to originating signals
|
||||
* implementations can be evaluated by observed outcomes
|
||||
* AI assistance improves throughput without obscuring accountability
|
||||
* UI technologies can evolve without destroying semantic continuity
|
||||
|
||||
---
|
||||
|
||||
# 19. Short Strategic Summary
|
||||
|
||||
The Interaction Hub Framework should be built as a **governed interaction substrate**, not as a cosmetic UI layer and not as a rigid frontend monoculture.
|
||||
|
||||
Its purpose is to make:
|
||||
|
||||
* interaction observable
|
||||
* frustration actionable
|
||||
* hope capturable
|
||||
* change auditable
|
||||
* evolution evidence-based
|
||||
|
||||
That is what gives it antifragile potential.
|
||||
|
||||
|
||||
xxx
|
||||
Reference in New Issue
Block a user