I ve been wondering about this a lot lately.... If LLMs keep pulling from blogs, news platforms (and obviously other content sources) -> this results in ad revenue keeps shrinking for most folks reliant on this source of income -> what is the pivot for these creators?
My wife runs a food blog that s heavily ad traffic based. Right now her niche (make based content seems to be some of the safest on the internet.. likely way worse for someone with an information based blog) hasn t been hit too hard, but it feels like something that could change quickly. That s got us thinking about what a pivot could look like.
RxPass is the latest addition to Amazon Pharmacy as the company looks to take a larger piece of the medication market share. RxPass allows Prime users to pay a monthly, flat fee of $5 to receive as much generic medication as they need. We've seen the beginnings of a generic medication price-revolution with Mark Cuban's Cost Plus Drugs. What do you think of this move by Amazon?
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A big part of my week is spent talking to early-stage founders about how they handle login, access, and identity, and there is a pattern I keep noticing that I want to understand better.
Almost everyone puts auth off at the start, which honestly makes sense when you are still trying to prove the product matters at all.
I believe the key way where AI assistants really become a big help from now on depends on how many tasks you can delegate to them in parallel.
When I get down to development work, I usually have eight windows open, and occasionally when the administrative tasks start pouring in I have thirty-plus running.
You see, AI is very swift and with advances in every AI model, it's possible to entrust an AI with longer tasks. Consequently, if I only had one session open, I'd be the one waiting on the agent. Several at once is different. The agents are the ones waiting for our decision while the work continues and I believe that is how we get far more results done.
Something I keep running into building in the hiring space: the moment interviews went remote and AI got good, the format quietly broke. Candidates can pull up the right answer, or paste a polished one, in real time. So a lot of interviews now measure who prepped with ChatGPT, not who can actually do the work.
The usual fixes don t really hold either. Fixed question banks get shared and gamed. Harder questions just raise the bar on who copies best. Going back to in-person doesn t scale.
Curious what people here think. Is the structured Q&A interview finished, or is there a version of it that survives AI? And for anyone hiring right now, how are you actually telling a real answer from a generated one?
Something that changed how our team works: every time Claude messes something up, we write it into a skill file so it doesn't happen again. Over time it got way better at our stuff than any prompt ever did. Same with art, once we built skills for our drawings and animations the results got clean and consistent.
Curious how others handle this. Do you keep notes or rules for your AI tools, or just re-prompt every time? And what's the most useful rule you've written?
I shut down a project last month that I d been working on for about eight months. It had a handful of paying users, a few nice messages, and growth that basically flatlined after the first launch spike. The weird part is I probably knew it wasn t working around month four. I just kept telling myself one more feature would fix it.
Talking to other makers, I ve noticed two camps:
People who give something 90 days, check the numbers, and move on without much drama.
People (like me) who hang on way too long because quitting feels like admitting the idea was bad.
I'd been putting this off for eight months. Every time I opened the pricing page I closed it again. Last month I finally did it 40% across all plans, grandfathered existing users for 60 days, and sent a plain-text email to 312 customers.
Zero churned. Three replied thanking me. One asked why I hadn't done it sooner.
The email wasn't clever. It was four paragraphs: what's changing, when, why (I was honest support load had tripled), and what stays the same. No "exciting news" language, no discount code to soften it.
I'm posting because I see a lot of "should I raise prices" threads and almost no "here's what actually happened" threads. So: what actually happened, with numbers.
