OpenClaw Isn't Turnkey Yet - Here's What It's Like to Actually Use It
After two weeks with OpenClaw, my takeaway is that this is not a polished turnkey product yet. The first week was mostly about moving slowly, adding guardrails, and keeping the setup controlled. The second week became more hands-on, with more dynamic connections, more workflow experiments, and a better sense of where the tool is actually useful.
In this video I walk through the parts that started mattering in day-to-day use: model routing, token usage, journaling, bug tracking, vector search, image handling, aliases, WebSocket limits, email notes, business context, and RSS feeds. The biggest surprise was how valuable journaling and searchable memory became once I started using OpenClaw to track ideas, issues, and recurring information instead of treating it like a demo.
The honest version is that OpenClaw is exciting, but it still feels like a development project. There are rough edges, limits, and bugs, and you need to be willing to build around them. If you like experimenting with AI workflows and making your own system, there is a lot here. If you want something finished and hands-off, it probably is not there yet.
