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ClawRun – Deploy and manage AI agents in seconds (github.com)
adriand 2 minutes ago [-]
Is anyone enjoying the process of deploying agentic AI for clients/employers? I have been working on stuff in the space ever since a senior exec at a client became enamoured with OpenClaw and I had the choice of either letting her go full foot-gun or enabling her to do what she wanted with agentic AI. I built a fair bit of stuff that sounds like this project to try and put some guardrails, observability, security, etc., around OpenClaw, but I have to say that the flakiness of the overall system is a huge turnoff for me.

The lack of predictable output/outcomes, the number of things that can go wrong (rate limits, this or that service stopping, a "cron" job seemingly disabling itself, permissions that don't stick, on and on it goes), does not make for an enjoyable development experience. People are getting value from it and on some level it's quite remarkable what can be done, but never in my life have users of my software had such little faith that what worked properly yesterday will work properly today. I have had far better results using LLM APIs.

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