Do not index
Do not index
I’ve been exploring AI agent swarms lately, building a system I call PailSwarm to manage tasks at Lunch Pail Labs. Finding the best way to interact with the swarm has been a process. While Slack quickly became my go-to platform, my initial approach needed tweaking to handle both straightforward tasks and more dynamic conversations. Here’s how I’ve refined the setup to make it work.
Starting with Channels
Slack’s event-driven capabilities make it a natural fit for hosting AI agents. Initially, I deployed agents in Slack channels, where users could tag the bot (e.g.,
@PailSwarm) to:- Create tasks
- Generate content
- Access internal documentation
This worked great for straightforward, execution-focused tasks. But for more dynamic conversations, like refining ideas or brainstorming strategies, the interaction felt a bit constrained.
Enter Slack’s AI Assistants
Slack’s AI Assistants tab has made conversational use cases much more practical. It provides a dedicated space for extended, iterative discussions that feel a lot like ChatGPT but are integrated directly into Slack.
Now, I use a two-pronged approach for PailSwarm:
- Channels: Quick task execution by tagging
@PailSwarmin a message.
- AI Assistant Tab: Perfect for deeper, back-and-forth conversations like brainstorming or refining content.
What’s Next?
Slack has proven to be the ideal home for PailSwarm, combining quick task execution with a space for deeper collaboration.
Are you implementing or curious about AI agent swarms?Let’s chat
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