u/dphntm1020

In my day job, I’ve noticed I’m doing less ad hoc reporting than before.

It seems like most of simple adhoc requests that used to come to me is now answered by AI tools, which is good because now I have less context switching and don't have to go through manual work of building quick graph in dashboard, screen shotting, sharing, answering followup questions etc.

Are you seeing fewer reporting work because of AI? How do you share reports or quick insights with stakeholders when requests do come in?

In my day job, I’ve noticed I’m doing less ad hoc reporting than before.

It seems like most of simple adhoc requests that used to come to me is now answered by AI tools, which is good because now I have less context switching and don't have to go through manual work of building quick graph, screen shotting, sharing, answering followup questions etc.

Are you seeing fewer reporting work because of AI? What tools are you using these days to share reports or quick insights with stakeholders when requests do come in?

I am new and still in the early phase learning the basics. The other day I learned that companies are required to publish pricing data in machine readable files format. I tried to find ways to use it to make my life easier.. and was I wrong. This thing is a beast.

Do companies intentionally make this hard to use? Does anyone other than big organizations who have budget to buy tools actually use this data?

How do you deal with not having a local phone number while traveling Korea? For example: getting on waitlists for restaurants, reservations, using apps (delivery) etc. all strictly or practically require korean number.

Do you simply avoid what requires number or e-sim?

It's ironic that I'm asking this question in English but I have no other options so..

I've been wondering how non English speakers use coding agents. I've seen some researches suggesting that using English to instruct model leads to better results, but I am curious if this actually shows up in real-word use cases.

Do you guys simply stick to your first language when using coding agents? If not, what's your process and how do you deal with articulating your intent clearly to the model? I'd imagine that would be the biggest bottleneck for generating quality result

I built Swan, an open-source browser extension for people trying to break out of the porn addiction.

It watches configured adult-site domains. If one opens, Swan redirects the tab to an intervention page and starts a phone call through the user's own ElevenLabs and Twilio keys.

The goal is to interrupt the moment where the cycle starts, and give the user someone to talk to immediately before continuing.

Swan is local and inspectable: settings, rules, credentials, and logs stay in browser extension storage. No external server

Would appreciate any feedback or questions!

What title says: how long was your longest /goal task ever and was the result good? How did you validate the massive result?