# 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.