📣 Agents Explained Simply 🤖🪄: How we started with an internal Slack list generator and moved to production apps.
In the rush to leverage the value of AI, it’s easy to think big before thinking practical. In this edition, we’re focusing on how to get real value from AI agents. Starting with small, low-risk workflows and growing from there.
Our first agent experiment lived entirely in Slack. It was simple: help with team rotations and scheduling. The risk was minimal, at worst, someone was nudged about a presentation twice, and the cost of iteration was minimal. This foundation gave us practical experience in how agentic workflows reason, where they fail, and when humans need to step in.
Our low-stakes tool informed our broader philosophy:use agents where the value truly outweighs the complexity.
If you're exploring where AI can drive real impact in your organization, our assessment helps you identify high-value opportunities, evaluate your overall readiness, and chart a practical path forward.
