As one example I built an MCP server that lets LLMs access a reporting database, and made a Copilot Agent and integrated it into Teams, so now the entire business can ask a chat bot questions, using natural language in teams, about business data. It can run reports for them on demand, pulling in new columns/tables. It can identify when there might be something wrong as it also reads from our logs.
These people don’t know databases. They don’t know how to read debug/error logs.
I also use GitHub copilot.
But sure, it can’t be of any help to anyone ever lol
I’ll take your word for it to not just be saying “no” but I still have to wonder why it needs “AI” and if people are going to build up a reliance on it to the point where they start to not be able to find that info on their own. I mean, hell, like you say they already can’t handle the databases so why are they even fucking around in there anyway/why aren’t they learning how to use them if they’re so important for their jobs?
Because in teams you could type (or say) “how many customers are still awaiting their refunds for their services that were cancelled last week?” and it will go and do its little AI magic and respond with the answer.
people are going to build up a reliance on it to the point where they start to not be able to find that info on their own
But they can never find it on their own - it’s in a database, they have to use some tool to get it. Why can’t that tool be AI?
they already can’t handle the databases so why are they even fucking around in there anyway
They’re not! That’s the point. This way it gives them access to information that they would usually have to put in a support ticket, or run multiple reports and then try and compile them together, for example, to get. Now they can just ask a bot in teams a question and they get the answer.
why aren’t they learning how to use them if they’re so important for their jobs?
Because their job isn’t to access the production database.
As one example I built an MCP server that lets LLMs access a reporting database, and made a Copilot Agent and integrated it into Teams, so now the entire business can ask a chat bot questions, using natural language in teams, about business data. It can run reports for them on demand, pulling in new columns/tables. It can identify when there might be something wrong as it also reads from our logs.
These people don’t know databases. They don’t know how to read debug/error logs.
I also use GitHub copilot.
But sure, it can’t be of any help to anyone ever lol
I’ll take your word for it to not just be saying “no” but I still have to wonder why it needs “AI” and if people are going to build up a reliance on it to the point where they start to not be able to find that info on their own. I mean, hell, like you say they already can’t handle the databases so why are they even fucking around in there anyway/why aren’t they learning how to use them if they’re so important for their jobs?
Because in teams you could type (or say) “how many customers are still awaiting their refunds for their services that were cancelled last week?” and it will go and do its little AI magic and respond with the answer.
But they can never find it on their own - it’s in a database, they have to use some tool to get it. Why can’t that tool be AI?
They’re not! That’s the point. This way it gives them access to information that they would usually have to put in a support ticket, or run multiple reports and then try and compile them together, for example, to get. Now they can just ask a bot in teams a question and they get the answer.
Because their job isn’t to access the production database.