I keep a spreadsheet for our mortgage. Overpay early or invest the difference, that is the whole question, and I have rebuilt it maybe ten times.
Every version gives a different answer, and always because of one cell. Expected return. Change that one number and the answer flips. Everything else in the model is arithmetic I can check.
Runway is the same shape. The answer depends on a growth rate nobody knows, and the rest is addition.
The difference is that the mortgage sheet has no audience. Nobody sees it, so I never round anything in my favour. The startup model gets shown to people, and that is exactly where the definitions start drifting.
Do you keep a personal money model? And is it more honest than the one you show to investors?

Like many here, I'm constantly experimenting with AI tools in my workflow. They're incredible for generating ideas, drafting content, coding snippets, etc. the efficiency gains are undeniable.

But I've been thinking about the deeper integration. Beyond using AI for specific outputs, how is it really changing your core process for creating something significant or achieving substantial growth?

Here's a frustration I'm running into: it's great that AI remembers context and follows the thread when you're deep in a topic. But when I want to pivot to something completely different, it keeps circling back almost too eager to stay "relevant" to what we discussed earlier.
This makes the new conversation feel forced and unhelpful because it won't let go of the old context. I've tried deleting the chat and turning off data collection, but neither worked.

Anyone else stuck in this loop?
Did you find a fix?

I was reading my own refund policy this week and the sections run 1, 2, 3, 4, 5, 7. There is no 6. I wrote that page, shipped it, and never opened it again until this week.

Once I started looking I found more of the same. One of my pages isn't linked from the nav or the footer, so the only way to reach it is to already know the URL. Another spot lists four export formats where two other spots list six. My landing page says how long something takes in three different places and gives three different answers.

None of it is a bug exactly. Nothing breaks. That's the problem there's no error and nobody complains, so the pages just sit there being slightly wrong at each other.

The obvious answer is a monthly read-through of everything I've published. I keep not doing it, and I think the reason is that it produces no ticket and nothing to point at, so it loses to whatever else is open that day.

I've lost count of how many products I use where a "Summarize with AI" button just showed up one day, solving a problem I didn't have, next to a feature I've been asking for since 2023.

Not against AI in products at all, some of it's genuinely great. But it feels like it went from "does this make sense here" to "we need one for the changelog" pretty fast.

Curious how others are thinking about this, both as builders and as users. Do you actually use the AI features in the tools you pay for, or do you mostly ignore them?

I was thinking about how stressful modern interviews are right now. Whether you are an engineer, a PM, or in Sales, you are expected to have the perfect, charismatic answer to every behavioral and technical question instantly on a live Zoom call. If you freeze up for 5 seconds, you lose the job.

With local AI models getting faster and faster, we are quickly entering an era where candidates can (and will) use real-time AI teleprompters to feed them perfect answers on screen while they talk.

If candidates have access to tools that give them perfect charisma and technical answers in real-time, how are companies going to adapt? Will the traditional remote Zoom interview completely die out and be replaced by in-person whiteboarding again? Curious to hear what founders and recruiters here think about this shift.