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🚀 Exponential TOM 🚀Telegram HQ: Turn One Chat Into an AI Command Center (OpenClaw)
Support 🚀 Exponential TOM 🚀
🚀 Exponential TOM 🚀Telegram HQ: Turn One Chat Into an AI Command Center (OpenClaw)
Exploring the Frontier of Tech & Art in the Exponential Age. #NetworkStates🏳️ #Longevity❤️🔥 #AI🤖#Web3🎨 #DeSci🧪 100% Optimist Towards our Future 🚀
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We turned Telegram into a structured command center for an AI agent (Atlas running on OpenClaw). Instead of one endless chat feed, we created a single Telegram group (Atlas HQ) and enabled Topics (Forum mode) so each workflow has its own dedicated thread.
This gives us:
A clean separation between workflows (journals, content, ops)
A faster feedback loop with the agent
A scalable structure where new workflows can be added without chaos
A predictable routing surface for automations (post into the right topic every time)
Most chat apps are a single infinite feed. That is fine for human conversation, but it breaks down when:
you are running multiple parallel workflows
you want to retrieve information later
your agent is producing outputs (reports, briefs, drafts) every day
Topics turn Telegram into something closer to
a lightweight operations console.
Morning Journal -> chaotic brain-dump -> Atlas extracts priorities + tasks
Content Workflow -> transcripts in -> articles / threads / clips out
Open Loops -> nightly scan of Notion -> list of unfinished items for the next day
Morning Brief -> daily web research -> use cases + how they apply to our projects
Create a dedicated Telegram group (separate from your personal DMs)
Enable Topics / Forum mode in group settings
We turned Telegram into a structured command center for an AI agent (Atlas running on OpenClaw). Instead of one endless chat feed, we created a single Telegram group (Atlas HQ) and enabled Topics (Forum mode) so each workflow has its own dedicated thread.
This gives us:
A clean separation between workflows (journals, content, ops)
A faster feedback loop with the agent
A scalable structure where new workflows can be added without chaos
A predictable routing surface for automations (post into the right topic every time)
Most chat apps are a single infinite feed. That is fine for human conversation, but it breaks down when:
you are running multiple parallel workflows
you want to retrieve information later
your agent is producing outputs (reports, briefs, drafts) every day
Topics turn Telegram into something closer to
a lightweight operations console.
Morning Journal -> chaotic brain-dump -> Atlas extracts priorities + tasks
Content Workflow -> transcripts in -> articles / threads / clips out
Open Loops -> nightly scan of Notion -> list of unfinished items for the next day
Morning Brief -> daily web research -> use cases + how they apply to our projects
Create a dedicated Telegram group (separate from your personal DMs)
Enable Topics / Forum mode in group settings
Create topic threads for each workflow area
Add your agent/bot/account and grant permissions (post + read)
Connect OpenClaw/Clawdbot to Telegram (bot token + target chat id)
(Optional) Capture topic/thread IDs and map each automation to the right topic
Test end-to-end: Telegram -> Atlas receives; Atlas -> posts back into the correct topic
Create topic threads for each workflow area
Add your agent/bot/account and grant permissions (post + read)
Connect OpenClaw/Clawdbot to Telegram (bot token + target chat id)
(Optional) Capture topic/thread IDs and map each automation to the right topic
Test end-to-end: Telegram -> Atlas receives; Atlas -> posts back into the correct topic
Atlas on OpenClaw turns Telegram into a structured command center, using the Atlas HQ group with Topics to give each workflow its own thread. This setup cleanly separates journals, content, and ops, speeds feedback, and enables scalable, predictable automation routing. Insight from @artoftomas.
cleany feedback
2 comments
Atlas on OpenClaw turns Telegram into a structured command center, using the Atlas HQ group with Topics to give each workflow its own thread. This setup cleanly separates journals, content, and ops, speeds feedback, and enables scalable, predictable automation routing. Insight from @artoftomas.
cleany feedback