Love to see reality setting in.

yep. everyone at mine was being praised for creating an agent that turned meetings into JSON and then the JSON into Asana tasks and the Asana tasks into a report and the report into an internal and external email and the email into a slack message and the slack messages and emails into weekly summary.

Burning thousands of credits for what could be replaced by...

listening

Christ I am only realising now they probably see me asking copilot "why are you so shit" or "Just fuckoff, I'll do it myself". They pay for that.

I was put in a position to start building and deploying copilot agents in our company. I discovered in the first day how unprepared our environment was for anything copilot. The default state when you get licenses and an environment to work in, is the wild west. It's really bad and as is tradition, half cocked and rushed to market. I wrote out pages of notes of things we had to do as a company before even the most simple agents are created for security and governance. I never got the support to implement any changes, so I drug my feet as much as I could on anything I could. For 6 months I successfully never deployed any AI stuff and got out to do full stack dev instead. I created PoC agents, but with hard caveats that none of it was usable in the current state in prod.

Now prices are increasing and our drive to force agentic has softened a little company wide. I like to think that my semi malicious yet justified slow walking saved us a whole shit load of headache and expenses over the next couple of months as the new copilot pricing hits on June 1.

Now that they've poured zillions into it, they are starting to realize that they'll never get their return on that investment, so now they have to manage the draw down so it doesn't all crash.

At least some are recognizing it.

Hi, it’s partly my fault. You’re welcome. Boss said use more AI. Boss’s mistake was asking someone who would actually take him seriously, unlike all the koolaid chugs out there. Made a docker runtime harness that hooks up to Snowflake Cortex Code SDK for inference. Supports defining repeatable LLM tasks, scheduling them, lightly orchestrating them, network controls, saving results, ... It’s got support for custom skills, commands, chain prompting, sessions, … So now I can use Docker to schedule LLM jobs like motherfucking database pipelines. It can mediocrely do shit like research, planning, evaluations, … all defined through YAML configuration files.

Basically, I introduced scalability to the stack. Sweet malicious compliance. We’ll see what happens next, when everyone is actually empowered to use AI like the execs want. My prediction is an about-face.

Edit: sometimes the best way to win a fight is to show the referee that the rules don’t make any fucking sense. Sometimes the referee doesn’t speak English, though, so you have to show them via USD speak. Sometimes they have a hard time hearing too, so you have to let them taste the poison a little. Sometimes they get drunk off that little bit, so you then gotta throw them in the fucking pool and tell them to start swimming.