A lot of people trying the product, building agents, sharing ideas. Super interesting to see how differently teams approach it. Some go straight into ops and support, others start with leads or research.
Feels like we re just at the beginning of figuring out how this should actually work.
Since launching today, seeing a pretty clear pattern in how teams are using agents. Not abstract stuff. Real workflows. Things like: routing and qualifying inbound leads
reading docs and pulling key insights
handling internal questions from teams
coordinating follow-ups and scheduling Nothing fancy. Just removing repetitive work that people deal with every day. Feels like the biggest shift is this: Instead of trying to design the perfect agent , teams just start with something small and improve it over time. That s what actually gets used. Curious what others are building right now. We just launched Agentplace today, happy to share more if helpful https://www.producthunt.com/post...
Seeing the same pattern across teams building internal AI agents. They try to design everything upfront. Architecture, tools, orchestration, all of it. And then nothing actually gets used. What works looks much simpler.
People just build small agents for their own workflows and improve them as they go. That s when things start to stick.
We ve been building Agentplace around this idea. A workspace where teams can create and use AI agents for real work.
AgentplaceBuild, work, improve Claude Code–style agents in one place
Agentplace