EN
A live product for Signal & SGX: Telegram AI mentor with a RAG knowledge base, channel reposts, daily quotes, and built-in traffic analytics.
Context
"The community was growing faster than manual support, while project knowledge was scattered across chats, channels, and calls"
SGX Mentor was built as a live AI product that brings users into context without overload: onboarding, navigation, knowledge-based answers, daily content, and return loops inside a single Telegram interface. Another goal was speed: the project reached its first 100 users in 5 days from the initial idea.
Product screens
Product map and SGX content modules
Language selection onboarding
Start screen and product structure
AI mentor dialogue over the knowledge base
Step-by-step guidance for the user
Daily quote module inside the bot
What is implemented
The bot responds using SGX materials and product flows instead of relying on generic AI phrasing.
Content from channels is turned into structured user journeys right inside the bot.
A dedicated daily format with quotes from great thinkers supports retention and product rhythm.
The product already includes activity, return, and content-view analytics scenarios.
Users can ask questions via voice or text and get the same product-quality answer.
Onboarding, start screens, license access, and content routes are assembled into one guided flow.
Inside Mentor Bot the AI does more than chat. It explains the product, signals, growth scenarios, and ecosystem structure using a prepared knowledge layer. That makes the bot both an education surface and a support layer for new members.
SGX Mentor is not just an FAQ bot. It includes daily touchpoints: quotes, channel reposts, start flows, and traffic analytics. That makes the product both an entry point into the ecosystem and an attention-retention channel.
Stack
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