testing-patterns

Implements retrieval-augmented generation (RAG) for enhanced AI query responses using advanced document indexing and semantic search techniques.

Enables seamless speech-to-text conversion by integrating advanced transcription services into AI workflows and applications.

Generates AI-powered content across various formats like blog posts, articles, scripts, and marketing copy with customizable parameters.

Enables seamless integration and interaction with Supabase database services for AI-powered development workflows and applications.

AI memory management with Platform (hosted), Open Source (self-hosted with Supabase), and MCP (OpenMemory) support. Persistent conversation memory, user preferences, and graph relationships for AI applications.

Next.js App Router with AI SDK, Supabase, shadcn/ui. Single orchestration command plus utility commands for building modern AI-powered applications. Always uses latest dependency versions.

Complete A2A Protocol integration for multi-agent systems

Generates and validates machine learning training patterns, optimizing model development workflows with structured, reusable templates.

Complete Resend email API integration for transactional emails, React Email templates, contacts, broadcasts, webhooks, and domain management

Orchestrates complex AI agent workflows by defining reusable interaction patterns, communication strategies, and task delegation mechanisms.