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# Infospace Bench Functional Requirements Specification V0.1
## infospace-bench
---
## 1. System Overview
infospace-bench is a **workspace and service** that enables users and systems to **create, develop, evaluate, inspect, and export structured knowledge spaces (“infospaces”)**.
This FRS defines the **externally observable functional behavior** of the system.
---
## 2. Actors and Interfaces
### 2.1 Primary Actors
* **User (Human Operator)** working on knowledge projects
* **Automation System (`atm`)** executing workflows on infospaces
* **LLM Agent (`agt`)** contributing to knowledge generation and evaluation
* **External Systems** consuming outputs or interacting with infospaces
---
### 2.2 System Interfaces
* Workspace/project interface (CLI and/or service interface)
* Programmatic API
* File system and/or service-backed storage (abstracted)
---
## 3. Functional Requirements
---
## 3.1 Infospace Lifecycle Management
### FR-001: Create Infospace
**Description:**
The system must allow creation of a new infospace.
**Input:**
* Infospace definition (name, configuration, initial parameters)
**Output:**
* Initialized infospace with identifier
---
### FR-002: Load Infospace
The system must allow loading an existing infospace for interaction.
---
### FR-003: Update Infospace
The system must allow modification of infospace configuration and content.
---
### FR-004: Delete Infospace
The system must allow removal of an infospace.
---
## 3.2 Knowledge Population
### FR-010: Add Knowledge Artifacts
The system must allow adding knowledge artifacts (documents, entities, or content) to an infospace.
---
### FR-011: Modify Knowledge Artifacts
The system must allow modification of existing artifacts within an infospace.
---
### FR-012: Remove Knowledge Artifacts
The system must allow removal of artifacts from an infospace.
---
## 3.3 Structure and Organization
### FR-020: Organize Knowledge
The system must allow organizing artifacts within an infospace.
---
### FR-021: Maintain Relationships
The system must allow defining and retrieving relationships between artifacts within an infospace.
---
## 3.4 Evaluation and Quality Assessment
### FR-030: Evaluate Infospace
The system must allow evaluation of an infospace.
**Output:**
* Evaluation results (e.g. quality indicators, scores, or assessments)
---
### FR-031: Evaluate Individual Artifacts
The system must allow evaluation of individual artifacts within an infospace.
---
### FR-032: Provide Evaluation Results
The system must provide structured evaluation outputs that can be inspected and reused.
---
## 3.5 Inspection and Exploration
### FR-040: Inspect Infospace Structure
The system must allow inspection of:
* Structure
* Relationships
* Organization
---
### FR-041: Explore Knowledge Artifacts
The system must allow exploration of artifacts and their connections.
---
### FR-042: Visualize Relationships
The system must provide representations of relationships between artifacts.
---
## 3.6 Transformation and Generation
### FR-050: Apply Transformations
The system must allow applying transformations to infospace content.
---
### FR-051: Generate Knowledge Artifacts
The system must allow generating new artifacts based on:
* Existing content
* Rules/templates
* AI-assisted processes
---
### FR-052: Apply Batch Operations
The system must allow transformations and generation across multiple artifacts.
---
## 3.7 Workflow Execution
### FR-060: Execute Infospace Workflows
The system must allow execution of workflows specific to an infospace.
---
### FR-061: Provide Workflow Results
The system must provide outputs and results of workflow execution.
---
## 3.8 Export and Output
### FR-070: Export Infospace
The system must allow exporting an infospace.
---
### FR-071: Export Derived Artifacts
The system must allow exporting generated or transformed outputs.
---
## 3.9 AI Interaction
### FR-080: Support AI-Assisted Operations
The system must allow AI agents to:
* Generate content
* Evaluate knowledge
* Suggest modifications
---
### FR-081: Provide Context to AI
The system must provide sufficient context for AI-assisted operations within an infospace.
---
## 3.10 Error Handling
### FR-090: Provide Structured Errors
The system must return structured error information for invalid operations.
---
### FR-091: Avoid Silent Failures
The system must not silently ignore errors affecting results.
---
## 4. Functional Constraints
* All operations must be scoped to a defined infospace
* Functions must operate on structured knowledge artifacts
* AI-assisted operations must be optional
* System must not assume ownership of lower-level tooling or system infrastructure
---
## 5. Traceability
| PRD Concept | FRS Coverage |
| --------------------------- | ------------- |
| Infospace lifecycle | FR-001FR-004 |
| Knowledge population | FR-010FR-012 |
| Structure & relationships | FR-020FR-021 |
| Evaluation & quality | FR-030FR-032 |
| Inspection & visualization | FR-040FR-042 |
| Transformation & generation | FR-050FR-052 |
| Workflow execution | FR-060FR-061 |
| Export | FR-070FR-071 |
| AI interaction | FR-080FR-081 |
---
## 6. Acceptance Perspective
The system satisfies this FRS when:
* Infospaces can be created, modified, and inspected
* Knowledge artifacts can be added, transformed, and evaluated
* Relationships and structure are observable
* Workflows produce reproducible outputs
* AI-assisted operations function with appropriate context
* Errors are explicit and traceable

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# Infospace Bench Product Requirements Document V0.1
## infospace-bench
---
## 1. Product Overview
### 1.1 Product Name
**infospace-bench**
---
### 1.2 Product Definition
infospace-bench is a **workspace and service for creating, developing, evaluating, and inspecting structured knowledge spaces (“infospaces”)**.
It provides an environment for applying structured knowledge methods to real-world domains such as books, research corpora, projects, and organizational knowledge systems.
---
## 2. Product Intent
### 2.1 Problem Statement
While tools and systems for structured knowledge exist:
* There is no consistent way to **develop and evaluate knowledge spaces in practice**
* Knowledge engineering approaches remain abstract and hard to validate
* Real-world knowledge artifacts lack **structured inspection and quality evaluation**
* Iterative refinement of knowledge systems is often ad-hoc and untraceable
This results in a gap between **knowledge theory and applied knowledge systems**.
---
### 2.2 Intended Outcomes
infospace-bench enables:
* Creation of **explicit, structured knowledge spaces** as first-class artifacts
* Iterative **development, evaluation, and refinement** of knowledge collections
* Inspection of **structure, quality, and relationships** within knowledge
* Application of AI-assisted workflows to real-world knowledge problems
* Generation of reusable patterns and insights for knowledge engineering
---
### 2.3 Success Criteria
The product is successful when:
* Infospaces can be **created, evolved, and inspected systematically**
* Knowledge quality can be **evaluated and improved over time**
* Real-world use cases (books, domains, projects) can be modeled effectively
* AI agents can contribute meaningfully to **knowledge development workflows**
* Insights from infospaces inform improvements in lower-layer systems
---
## 3. Scope Definition
### 3.1 In Scope
* Definition and management of infospaces as structured knowledge collections
* Lifecycle management: creation, population, evaluation, refinement, export
* Inspection tools for structure, relationships, and quality
* Application of workflows (generation, transformation, analysis) to infospaces
* AI-assisted development and evaluation of knowledge artifacts
* Use-case-specific configurations and project setups
---
### 3.2 Out of Scope
* Low-level markdown processing or transformation primitives
* Persistent system infrastructure or orchestration engines
* Generic multi-format content management systems
* Reusable tooling libraries or platform-level abstractions
* Final production publishing platforms (outside knowledge development context)
---
### 3.3 Boundary Clarification
infospace-bench provides **application-level usage**, not infrastructure:
* Tooling primitives → `markitect-tool`
* System/runtime orchestration → `kontextual-engine`
---
## 4. Functional Expectations
### 4.1 Core Capabilities
The product must support:
* **Infospace Definition**
Create structured knowledge collections with clear boundaries
* **Population & Development**
Add, modify, and organize knowledge artifacts
* **Evaluation & Quality Assessment**
Measure structure, consistency, and completeness
* **Inspection & Visualization**
Explore relationships, dependencies, and structure
* **Transformation & Generation**
Apply workflows to evolve knowledge artifacts
* **Export & Representation**
Produce outputs (documents, reports, derived artifacts)
---
### 4.2 Interaction Modes
* Project/workspace-based interaction
* CLI and/or service interfaces
* Agent-assisted workflows
---
## 5. Non-Functional Expectations
### 5.1 Performance
* Efficient handling of medium-to-large knowledge collections
* Reasonable responsiveness for interactive inspection and iteration
---
### 5.2 Reliability
* Consistent behavior in evaluation and transformation workflows
* Traceable changes and reproducible results
---
### 5.3 Extensibility
* Ability to incorporate new workflows and evaluation methods
* Flexible configuration for different domains and use cases
---
### 5.4 Usability
* Clear structure for organizing knowledge projects
* Intuitive workflows for iteration and refinement
* Transparency of system behavior and results
---
## 6. Assumptions and Dependencies
### 6.1 Assumptions
* Knowledge engineering benefits from iterative, project-based development
* AI agents can assist in generating and refining knowledge
* Structured knowledge systems require evaluation and inspection
---
### 6.2 Dependencies
* kontextual-engine for persistence and orchestration
* markitect-tool for markdown-based structuring and transformation
* llm-connect (or equivalent) for AI-assisted workflows
---
## 7. Constraints
* Must remain focused on **concrete infospaces**, not abstract infrastructure
* Must avoid duplication of tooling or system-level responsibilities
* Must support both human and AI-driven workflows
* Must maintain clear traceability of knowledge evolution
---
## 8. Risks
* Drifting into general-purpose platform or CMS functionality
* Over-complex evaluation frameworks reducing usability
* Tight coupling to specific tools or formats
* Loss of clarity between experimentation and production usage
---
## 9. Related Systems
* **markitect-tool** syntax layer (markdown primitives)
* **kontextual-engine** system layer (persistence and orchestration)
* **llm-connect** LLM abstraction layer
---
## 10. Ecosystem Context
This product is part of a layered knowledge system:
```text id="k2pz7m"
markitect-tool → makes markdown structured and manipulable
kontextual-engine → makes knowledge persistent and operable
infospace-bench → makes knowledge concrete and meaningful
```
Layers:
* **Syntax layer** → markitect-tool
* **System layer** → kontextual-engine
* **Application layer** → infospace-bench
---
## 11. PRD Type
**Hybrid / Boundary PRD**
This PRD defines application-level intent and usage boundaries while allowing flexibility for experimentation and iterative development.