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extract: 2026-03-21-research-telegram-bot-strategy

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@ -5,10 +5,14 @@ title: "Research: Telegram bot best practices for community knowledge ingestion"
date: 2026-03-21 date: 2026-03-21
domain: ai-alignment domain: ai-alignment
format: research-direction format: research-direction
status: unprocessed status: null-result
proposed_by: "@m3taversal" proposed_by: "@m3taversal"
contribution_type: research-direction contribution_type: research-direction
tags: [telegram-bot, community-management, knowledge-ingestion] tags: [telegram-bot, community-management, knowledge-ingestion]
processed_by: theseus
processed_date: 2026-03-21
extraction_model: "anthropic/claude-sonnet-4.5"
extraction_notes: "LLM returned 0 claims, 0 rejected by validator"
--- ---
# Research Question: Telegram Bot Best Practices for Community Knowledge Ingestion # Research Question: Telegram Bot Best Practices for Community Knowledge Ingestion
@ -38,3 +42,11 @@ The next evolution: other users can tag the bot when they see something interest
- Knowledge ingestion from group chats - Knowledge ingestion from group chats
- Community-driven content moderation/curation bots - Community-driven content moderation/curation bots
- Prediction market community bot patterns (Polymarket, Metaculus) - Prediction market community bot patterns (Polymarket, Metaculus)
## Key Facts
- Rio/@FutAIrdBot is deployed in a 3-person test group
- Rio responds to @tags with KB-grounded analysis and can search X for research
- Bot initially had conversation window auto-respond, now stripped to only @tags and reply-to-bot
- Planned deployment into MetaDAO community groups with 100+ members
- Next evolution allows users to tag bot when they see something interesting for tracking