AI SuperApp.
A productivity ecosystem where chat, tasks, notes and voice are connected through a shared AI layer that can act — not just answer.
- Role
- Architecture · AI systems · Real-time backend
- Period
- 2025 — 2026
- Type
- Product platform
Productivity tools live in silos, and AI assistants bolted onto them can answer questions but rarely have the context — or the permissions — to actually do the work. Users end up copying between tools with the assistant watching.
A modular platform with an AI core connected to the user's tasks, notes, conversations and calendar through tool calling. Users ask in natural language; the system plans, calls the right tools with the right permissions, and reports back. Real-time updates flow over WebSockets so every module reflects what the AI did.
- Python
- FastAPI
- AsyncIO
- WebSockets
- PostgreSQL
- Redis
- LLM APIs
- AI agents / tool calling
- Docker
A foundation for AI features that do real work inside a product, with clear boundaries between the model, the tools it may call and the data it may touch.
TGAI Profile
AI Agent · Telegram Outreach CRM