An AI-powered assistant for composable website technology with emphasis on Contentstack. Tower uses RAG (Retrieval Augmented Generation) to provide informed responses from a curated knowledge base.
Multi-model chat interface supporting Claude Sonnet/Opus, ChatGPT, and Kimi. RAG-powered responses draw from the knowledge base. Includes conversation history and tagging for organization.
Open Chat →Create and manage custom scenarios for different use cases. Organize stories with tags for easy discovery and reuse.
Browse Stories →Document ingestion from text and URLs. Content is chunked and converted to vector embeddings for semantic search, powering the RAG system.
Manage Documents →Personal file storage with folder organization. Upload, manage, and share files within the platform.
Open Library →Learn Contentstack concepts through hands-on simulation tools.
Visualize CDN architecture with Akamai, Launch, and Fastly configurations
Learn Contentstack branching workflows for content staging
Explore content variants and personalization strategies
Design approval workflows with multiple stages and roles
Build hierarchical categorization systems for content
Understand entry dependencies and circular reference detection
Configure multi-language fallback chains and locale resolution
Tower is hosted on Railway, with separate services for the frontend and backend. The platform provides: