Polymind
A multimodal Telegram assistant orchestrating 50+ models across text, media, and tool-driven workflows.
Problem
Most bot experiences stop at simple prompt-response flows. The goal here was to create a more capable assistant that could route between providers, handle media, and keep the product useful when individual models fail.
Solution
Polymind turns a Telegram interface into a practical AI control surface. The system combines multi-provider model routing, multimodal inputs, fallback behavior, and MCP-aware workflows for a much broader product surface than a single-chatbot demo.
Impact
Delivered a production-facing AI assistant with public adoption, richer multimodal support, and clearer reliability strategies than a single-model bot.
Role
AI systems engineering, bot product design, integration architecture
Stack
Key highlights
Orchestrated 50+ models with context-aware selection and fallback behavior.
Supported text, image, document, and voice workflows in one product surface.
Integrated MCP-style tooling concepts for extensible assistant behaviors.