AI-Native ClubBlog

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Products & systems

Internal experiment

Community AI workspace: shared context inside Telegram.

Hermes community

An internal experiment for the squuaad community. A Hermes agent uses shared product and community context in Telegram, giving discussions and collaborative product work a common reference.

Illustration of shared project knowledge connecting documents and conversations.
01

The challenge

Community discussion and product work can become disconnected. Ideas appear in chat, while the context behind the product lives elsewhere. Repeating that context makes it harder for people and agents to contribute to the same work.

02

What we built

We set up a Hermes agent around squuaad’s shared product and community knowledge, with Telegram as the place people interact with it.

03

What the experiment explores

The focus is how a community can work with an agent using a common understanding of the product.

  • Shared product context

    Give the agent a reference for the product the community is discussing.

  • Conversation where members already are

    Make the agent available through Telegram alongside community discussion.

  • Community contributions

    Try ways for members and the agent to participate in shared feature-building work.

04

Where it is now

The agent is being used as an internal environment for testing community-led workflows. The experiment explores how shared knowledge and conversation can support collaborative product work.

All results

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