Management spent two years demanding everyone use AI, then discovered everyone was using AI. Now they’re shocked the office is a conveyor belt of hallucinated PowerPoints reviewed by other bots. The real productivity breakthrough will be executives learning that buying subscriptions isn’t a business strategy.
After talking to some people who actually have been forced to work with AI on projects in teams Its been horrifying to find how little time they are given to build out proper safe guards, rules and test the process.
Management seems to be expecting these stupid robots to work the first time every time
Even in small projects for every 8 hours of work there’s a good hour or two of adjusting memory, standing rules, hooks, and countless other things.
It’s endless upkeep. Every shift in work flow tends to create knock on effects.
Management of the bot it self becomes a massive work load if you want them to be even remotely reliable.
I’m not surprised their use in a corporate environment is backfiring massively.
It reminds me of talking to a coworker where I teach about taking on a side job. “All he wants is to take stuff from these 3 databases, and then reformat them to go into this database that he can use with this other software.”
They didn’t like when I told them that they couldn’t just vibe code it in a month and that my previous job was working with a persistent and ongoing team of almost 10 people doing that same type of thing.
To clarify before anyone asks, yes, these are all 3 live databases in production environments.
I sort of know what you mean. The company I work for has been encouraging the use of AI/LLMs. But some of the company leadership has been smart about it. We recently got some AI agents to use as tools in our workflow. However, they tested the agents for a few weeks before allowing us to use them, so that they know the agents do what they’re suppose to do.
However, they tested the agents for a few weeks before allowing us to use them, so that they know the agents do what they’re suppose to do.
I hope they’re planning on doing that for every model change, or pinning it to a specific model. Otherwise, you’re gonna have a bad time when model updates completely change how the bot functions.
I just wish my company would start hiring again. I have been using the AI out of necessity, because we are short-staffed in certain areas. I’ve asked several times, directly, how much my AI use is costing and nobody is in a position to know. It’s certainly helped in some areas but I want to build a case that hiring a college grad or two can help more…
Being short staffed is the whole point. They believe (where they are right or wrong) AI will replace the employees.
If you use AI and still have to work overtime you are your own problem. As long as you deliver why would they change anything? Don’t deliver. It is not worth sacrificing your health for someone’s else’s profits. You have only one life.
Careful they might just hire two AI using interns to replace you. Maybe bad mouth how much the AI is making mistakes and get them to make you stop using it and then ask for help when production slows.
Management spent two years demanding everyone use AI, then discovered everyone was using AI. Now they’re shocked the office is a conveyor belt of hallucinated PowerPoints reviewed by other bots. The real productivity breakthrough will be executives learning that buying subscriptions isn’t a business strategy.
After talking to some people who actually have been forced to work with AI on projects in teams Its been horrifying to find how little time they are given to build out proper safe guards, rules and test the process.
Management seems to be expecting these stupid robots to work the first time every time
Even in small projects for every 8 hours of work there’s a good hour or two of adjusting memory, standing rules, hooks, and countless other things.
It’s endless upkeep. Every shift in work flow tends to create knock on effects.
Management of the bot it self becomes a massive work load if you want them to be even remotely reliable.
I’m not surprised their use in a corporate environment is backfiring massively.
It reminds me of talking to a coworker where I teach about taking on a side job. “All he wants is to take stuff from these 3 databases, and then reformat them to go into this database that he can use with this other software.”
They didn’t like when I told them that they couldn’t just vibe code it in a month and that my previous job was working with a persistent and ongoing team of almost 10 people doing that same type of thing.
To clarify before anyone asks, yes, these are all 3 live databases in production environments.
I sort of know what you mean. The company I work for has been encouraging the use of AI/LLMs. But some of the company leadership has been smart about it. We recently got some AI agents to use as tools in our workflow. However, they tested the agents for a few weeks before allowing us to use them, so that they know the agents do what they’re suppose to do.
I hope they’re planning on doing that for every model change, or pinning it to a specific model. Otherwise, you’re gonna have a bad time when model updates completely change how the bot functions.
I just wish my company would start hiring again. I have been using the AI out of necessity, because we are short-staffed in certain areas. I’ve asked several times, directly, how much my AI use is costing and nobody is in a position to know. It’s certainly helped in some areas but I want to build a case that hiring a college grad or two can help more…
Being short staffed is the whole point. They believe (where they are right or wrong) AI will replace the employees.
If you use AI and still have to work overtime you are your own problem. As long as you deliver why would they change anything? Don’t deliver. It is not worth sacrificing your health for someone’s else’s profits. You have only one life.
When the clock strikes 5:30 we usually tell each other to get the fuck out the office. Ensure no one ever accidentally does any unpaid overtime.
Careful they might just hire two AI using interns to replace you. Maybe bad mouth how much the AI is making mistakes and get them to make you stop using it and then ask for help when production slows.