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...
I ve been working on something called Outafy, and would love to share it here and get some honest feedback.
The problem I kept running into was how fragmented service monitoring is. During incidents, I found myself jumping between multiple status pages, alerts, and tools just to understand what was actually going on.
I just rolled out a major update to my Bible companion site. The UI now feels more contemplative cleaner layouts, calming visuals, and a design that actually invites you to pause and reflect.
I ve added a growing library of prayer guides and topical studies, making it easier to explore Scripture by theme. The heart of the update, though, is the AI Bible chat. You can now ask any biblical question in natural language and get thoughtful, Scripture-based answers instantly. Whether you're curious about a verse, a theological concept, or just need daily encouragement, the AI walks with you like a study partner.
All built to help anyone engage with the Bible more deeply whether you're new to faith or have been reading for years. To reach a wider community, I ve also added support for French, Spanish, Portuguese, Russian, Chinese, and English so users can engage in their heart language.
Would love any feedback or ideas on how to make the experience even more meaningful. https://www.biblecompanion.top/e...
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.
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.
There are many diagramming tools out there but all of them are abstract. What if you could leverage a tool like Mermaid to have a validation engine that supports multiple cloud architectures like AWS, GCP, Azure. Would it make the life of software engineers/ architects easier. This would be more efficient than asking a LLM to validate your diagram.
Eg: This tool will be "intelligent" enough to know that subnets exists inside a VPC. You cannot route data from the internet to a resource in a private subnet without a NAT gateway.
