I m Sharad from India. I spend most of my time building AI products and experimenting with agent workflows, observability, and developer tooling.
Recently I ve been focused on how AI agents behave in production debugging failures, tracking costs, understanding handoffs between agents, and making these systems easier to operate reliably.
Currently building AgentPulse, an observability platform for AI agents and multi-agent workflows.
We often celebrate the wins and the "hockey stick growth" moments here, which is incredibly inspiring. However, I believe there's a treasure trove of knowledge in the projects that didn't work out, especially in the rapidly evolving world of AI agents.
There are so many new AI agent platforms ( @Wordware @Lindy @CrewAI @zapier and so on) that I'm finding myself curious how everyone is using them.
What AI agents are you using in production? What do they do? Are they working and reliable? What would make them better? Are they replacing roles? Augmenting existing ones?