AI-Powered Applications
Chat interfaces, RAG pipelines, content generators, and AI agent workflows — compiled from your description with Claude API integration and deployed in minutes.
What Gets Built
Every AI app build includes production-ready infrastructure for these core areas.
Chat Interface
Streaming chat UI with message history, conversation threading, and markdown rendering. Supports system prompts, temperature controls, and model selection. The interface handles loading states, error recovery, and token count display per message.
RAG Pipeline
Retrieval-augmented generation with document ingestion, chunking, embedding storage, and semantic search. Upload PDFs, markdown, or plain text and query them through natural language. Vector similarity search retrieves relevant context before each generation call.
Content Generation
Structured content generation workflows for blog posts, product descriptions, emails, and reports. Template-driven prompts with variable injection let users customize output format and tone. Generated content is editable in-place before publishing or exporting.
AI Agents
Multi-step agent workflows that chain tool calls, API lookups, and reasoning steps together. Agents can browse data, make decisions, and produce structured outputs across multiple turns. Execution traces show each step for transparency and debugging.
Prompt Management
Version-controlled prompt library with A/B testing and performance tracking. Create, edit, and organize system prompts with variable placeholders. Prompt analytics track response quality, latency, and token usage across versions to identify the best-performing configurations.
Usage Analytics
Dashboard tracking token consumption, request volumes, response latency, and error rates across all AI endpoints. Per-user usage breakdowns help manage costs and identify heavy consumers. Configurable alerts notify you when usage approaches defined thresholds.
Why SKYCOT for AI Apps
AI application scaffolding that handles the hard parts — streaming, embeddings, and token management — so you focus on your product.
Ready to build your AI app?
Describe your AI application and get a production-ready app with chat, RAG, content generation, and usage analytics — deployed in minutes.