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How I Converted a Messy Telegram Chat into Clear Tasks with a Hermes AI Agent

How I Converted a Messy Telegram Chat into Clear Tasks with a Hermes AI Agent

The missed renewal

Last month I missed a client renewal because the reminder was buried in a Telegram thread. Three people had mentioned it, but no one had turned it into a task. That morning I spent thirty minutes scrolling and copying messages into our tracker.

Background

I run 1it.pro and handle DevOps and support operations. Most of our client communication and internal coordination happens in Telegram. It works well for fast conversation, but it is a terrible task system.

We already used AgentForge to run a Hermes AI agent. I had installed it with Docker Compose, configured it in the web UI, and connected it to Telegram. At first it only answered questions. Then I changed its job.

The problem

Our chats were full of real work. A client would ask for a staging API key rotation before Friday. A teammate would mention that the nightly backup failed. Someone would promise to follow up with a lead next week. Then the conversation moved on.

A chat is a stream. A task needs an owner, a verb, and a date.

Without that structure, action items dissolved into history. People either forgot them or duplicated effort searching for context.

Why it matters

The cost was not dramatic at first. It looked like small delays and repeated questions. Over a month it became missed follow-ups, slower support, and angry clients. We had no reliable list of what was promised and by when.

  • Support requests fell through after busy threads.
  • Sales follow-ups waited until someone remembered them.
  • Internal fixes were discussed but never assigned.
  • Managers had to reconstruct status from chat screenshots.

Doing nothing meant paying with trust and revenue, not just time.

The solution

I configured the Hermes agent in AgentForge to watch two Telegram chats: a client support group and an internal ops group. I did not give it full access to everything. I selected only the chats where tasks usually appear.

In the AgentForge web UI, I set rules for what counts as an action item. The agent looks for requests, promises, deadlines, and bug reports. If it finds one, it replies in the chat with a short task card. The card includes the task, the owner if clear, the due date if mentioned, and a link to the original message.

The agent is deployed with Docker Compose on our VPS. A restart policy and healthcheck keep it running. Every morning it posts a digest to a dedicated Telegram topic called Tasks. The digest lists open items, overdue items, and items missing an owner.

For ambiguous messages, the agent asks one clarifying question. It does not create a task until a human confirms. That small check keeps the list clean.

The result

After two weeks, the difference was obvious. The support chat still moves fast, but action items no longer disappear. They land in a single list with context and ownership.

  • Missed follow-ups dropped because every promise had a visible card.
  • Daily standup took five minutes instead of twenty.
  • Client requests were assigned within minutes, not hours.
  • We stopped scrolling chat history to find out what was agreed.

The agent did not replace our team or our tracker. It added the missing layer between conversation and action. That was enough to turn messy chats into clear tasks.

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Serhii

Serhii