Update competitive analysis and PRD with anonymized competitor intelligence

- Add comprehensive analysis of AI-focused visual workflow competitor
- Document competitive overlap and strategic differentiators
- Update PRD background context with competitive landscape
- Maintain confidentiality by anonymizing company names
- Validate PyFlowGraph's positioning as developer-centric alternative

Key insights:
- Market validation for visual workflow automation demand
- Clear differentiation opportunity in general-purpose automation
- Emphasis on "Code as Nodes" philosophy vs limited AI operations
- Strategic positioning as self-hosted, extensible alternative

Author: Bryan Howard

docs/competitive-analysis.md

@@ -2,6 +2,37 @@
 
 This document analyzes PyFlowGraph's position in the workflow automation and integration platform market, identifying key differentiators and gaps compared to established automation tools.
 
+## Direct Competitors
+
+### Competitor A (AI-Focused Visual Workflows)
+**Category**: AI-powered creative workflow platform with visual node-based interface
+
+#### Competitive Overlap
+- Visual, drag-and-drop workflow creation
+- Node-based programming paradigm  
+- "No-code" positioning for non-technical users
+- Workflow collaboration and sharing capabilities
+- Target audience includes creative professionals and engineers
+
+#### Competitor A Advantages
+- **AI-First Platform**: Specialized for AI/ML creative workflows with multi-model support
+- **Cloud-Native Architecture**: Built-in scaling, collaboration, and infrastructure management
+- **Enterprise Adoption**: Trusted by major cloud providers and VFX studios with proven production use
+- **Creative Industry Focus**: Optimized for image generation, VFX, and design workflows
+- **Production Maturity**: Established platform with freemium model and enterprise features
+
+#### PyFlowGraph Differentiators vs Competitor A
+- **Full Programming Power**: "Code as Nodes" philosophy provides unlimited Python ecosystem access
+- **Self-Hosted Control**: No vendor lock-in, complete data sovereignty, security compliance
+- **Universal Automation**: Not limited to AI/creative workflows - covers ETL, DevOps, integrations
+- **Developer-Centric**: Built for technical users who need programmatic flexibility beyond AI operations
+- **Open Architecture**: Markdown-based workflows enable version control, diff viewing, collaborative development
+- **Cost Structure**: One-time purchase vs subscription SaaS model
+- **Extensibility**: Any Python library becomes a workflow component vs platform-limited operations
+
+#### Strategic Positioning
+This competitor validates the market demand for visual workflow tools but focuses on AI-creative workflows. PyFlowGraph should position as the "developer's choice" for general-purpose automation requiring full programming capabilities.
+
 ## Unique Differentiators
 
 ### PyFlowGraph Advantages

docs/prd.md

@@ -12,13 +12,16 @@
 
 ### Background Context
 
-PyFlowGraph is a universal node-based visual scripting editor built with Python and PySide6, following a "Code as Nodes" philosophy. Positioned as a workflow automation and integration platform, it enables users to build ETL pipelines, API integrations, data transformations, webhook handlers, and business process automation through visual programming. Currently, it lacks two fundamental features that every professional workflow automation tool provides: Undo/Redo functionality and Node Grouping capabilities. Market analysis reveals that 100% of competitors in the workflow automation space have both features, and user feedback consistently cites these as deal-breakers for professional adoption. This PRD addresses these critical gaps to transform PyFlowGraph into a professional-grade workflow automation platform capable of handling complex enterprise integration scenarios.
+PyFlowGraph is a universal node-based visual scripting editor built with Python and PySide6, following a "Code as Nodes" philosophy. Positioned as a workflow automation and integration platform, it enables users to build ETL pipelines, API integrations, data transformations, webhook handlers, and business process automation through visual programming. 
+
+The competitive landscape includes direct competitors in AI-focused visual workflows which validates market demand while highlighting PyFlowGraph's unique positioning as a developer-centric, self-hosted alternative with unlimited Python ecosystem access. Currently, PyFlowGraph lacks two fundamental features that every professional workflow automation tool provides: Undo/Redo functionality and Node Grouping capabilities. Market analysis reveals that 100% of competitors in the workflow automation space have both features, and user feedback consistently cites these as deal-breakers for professional adoption. This PRD addresses these critical gaps to transform PyFlowGraph into a professional-grade workflow automation platform capable of handling complex enterprise integration scenarios while maintaining our core differentiator of full programming flexibility.
 
 ### Change Log
 
 | Date       | Version | Description                 | Author    |
 | ---------- | ------- | --------------------------- | --------- |
 | 2025-08-16 | 1.0     | Initial PRD creation        | BMad Master |
+| 2025-08-17 | 1.1     | Added AI-focused competitor analysis | Sarah (PO) |
 
 ## Requirements