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.
afshinmeh•40m ago
I have been struggling with the same issue but help me understand this:
> The lack of predictable output/outcomes
How does that actually show up in practice for you? Asking because "lack of predictable output" could mean different things depending on the context.
rvz•37m ago
I keep seeing these "Claw deployment" solutions, which is fine, but I am yet to see anyone who has deployed a claw solution and is directly making a lot of money from it.
It only seems to be the companies with hosted solutions themselves only making money and not the users. This resembles the people selling OpenClaw courses in how to use OpenClaw that are making money and not the users.
adriand•1h ago
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.
afshinmeh•40m ago
> The lack of predictable output/outcomes
How does that actually show up in practice for you? Asking because "lack of predictable output" could mean different things depending on the context.