— ALL AI STACK REPORTS
Stacks using Claude Sonnet 4.6
Community-built AI stacks that include Claude Sonnet 4.6.
Multimodal Customer Feedback Analysis Stack
Unified pipeline for ingesting text, voice, and survey data from customers, extracting insights via multimodal AI, and storing results for analysis. Scales from startup to enterprise with managed services.
AI Talent Acquisition & Resume Screening System
Automated resume parsing, candidate ranking, and screening pipeline using LLMs and document processing. Scales from hundreds to thousands of applications with cost-efficient inference and vector-based semantic matching.
AI Meeting Transcription & Slack Integration
Capture Zoom meetings, transcribe with AI, summarize automatically, and post insights to Slack channels for team collaboration at startup scale.
Enterprise RAG Knowledge Base Assistant
Scalable RAG system for searching and retrieving internal documentation with semantic understanding, built for enterprise knowledge management with production-grade observability.
AI Voice Assistant for Mobile Apps
Complete voice AI stack with speech-to-text, NLU, and text-to-speech for mobile apps. Scalable, low-latency, and startup-friendly with managed services.
AI Customer Knowledge Base with RAG
Scalable RAG system for instant, accurate customer support answers using vector search, LLM inference, and document processing.
AI-Powered Restaurant with Intelligent Waiters
Полный стек для создания ресторана с ИИ-официантами: голосовые агенты для приёма заказов, управление рабочими процессами, интеграция с системами и мониторинг.
Serial Recommendations Chatbot
Build a conversational AI chatbot that recommends TV series based on user preferences, powered by LLM and vector search for intelligent matching.
Telegram Bot with AI
Build an intelligent Telegram bot with LLM capabilities, message handling, and deployment infrastructure for production use.