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.
> How does that actually show up in practice for you?
It shows up as inconsistency. One of the key things I built in this architecture is the ability of users to define standard operating procedures (SOPs). These are the instructions (i.e. prompt) for the agent to do tasks (I've integrated Sonnet via OpenRouter into the SOP drafting UI, so people have help creating these - and the system prompt for this knows about the API endpoints that the agents have access to, so people get good advice as they write them).
Anyway, it's not uncommon for someone to write an SOP, test it a couple of times, decide that it works, and then tell people it's good to go. There's probably a 1 in 3 possibility that it doesn't actually work when someone else tries it. The reasons for that are almost endless it seems.
This is just one aspect. It seems like something new fails every day. Today:
- the agent stopped responding to incoming email. I dug into it. Somehow the tailscale hostname had changed. I had not changed it. I have no idea why it changed. This is not OpenClaw's fault, but it speaks to my point that there are too many moving parts with these things.
- the agent stopped sending emails when tasks were completed. This runs on a "cron" job. I went through the list of the cron jobs. The "task reporter" cron job was disabled. Why? No idea. I didn't disable it. I'm the sole "operator" of the OpenClaw instance, so if I didn't disable it, then something inside OpenClaw did. Why? I don't know.
What I do know is that someone pings me every day with a complaint that something is not working, which is a new experience for me, and it's embarrassing.
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.
What are people here using OpenClaw for personal reasons? How about for work? Why is OpenClaw the best system for it? Just trying to understand how people use it.
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.
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.
> How does that actually show up in practice for you?
It shows up as inconsistency. One of the key things I built in this architecture is the ability of users to define standard operating procedures (SOPs). These are the instructions (i.e. prompt) for the agent to do tasks (I've integrated Sonnet via OpenRouter into the SOP drafting UI, so people have help creating these - and the system prompt for this knows about the API endpoints that the agents have access to, so people get good advice as they write them).
Anyway, it's not uncommon for someone to write an SOP, test it a couple of times, decide that it works, and then tell people it's good to go. There's probably a 1 in 3 possibility that it doesn't actually work when someone else tries it. The reasons for that are almost endless it seems.
This is just one aspect. It seems like something new fails every day. Today:
- the agent stopped responding to incoming email. I dug into it. Somehow the tailscale hostname had changed. I had not changed it. I have no idea why it changed. This is not OpenClaw's fault, but it speaks to my point that there are too many moving parts with these things.
- the agent stopped sending emails when tasks were completed. This runs on a "cron" job. I went through the list of the cron jobs. The "task reporter" cron job was disabled. Why? No idea. I didn't disable it. I'm the sole "operator" of the OpenClaw instance, so if I didn't disable it, then something inside OpenClaw did. Why? I don't know.
What I do know is that someone pings me every day with a complaint that something is not working, which is a new experience for me, and it's embarrassing.
updates routinely break things. it’s not as set it and forget it as you want it to be.
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.
People making money dont go "hey everyone im making money with this"
So almost no-one is making money directly from these claw AI agents?
What are people here using OpenClaw for personal reasons? How about for work? Why is OpenClaw the best system for it? Just trying to understand how people use it.
I went and built my own - check my blog homepage at https://taoofmac.com for examples of how I use it daily.