New models land almost every week. Today it was ByteDance s Doubao 1.5 Pro Vision. Meanwhile, things like more affordable compute through the IndiaAI Mission could matter more for small teams over time.
For those of you shipping AI products: how do you decide what s worth evaluating and what to ignore? Do you have a process, or is it mostly gut feel?
I run a 3-level classifier (0 normal, 1 distress, 2 crisis) in front of a text generator. At Level 1 or 2 the app skips the generation, shows a support page, and pauses the feature. The final level is the max of three signals: a phrase filter, the classifier, and a level returned by the generation call itself. I tested it across several sets of typed messages: crisis, sarcasm, jokes, other languages.
Then, while testing on production, I tapped one of the three preset answer buttons ( I failed again ) and got the support page and a lockout. At the time, a Level 1 flag meant a 72-hour pause.
The cause: the preset labels went through the classifier exactly like typed text. Run alone, the classifier returned Level 1 on that label in 5 of 5 runs, while the grading call returned 0. Max of signals meant Level 1 won.
Why my evals missed it: every test row was something a person might type. None of them were the strings the app itself sends.
We keep seeing things like AI and LLM. But I'm happy about technology products that go beyond the occasional. For example, today I read that Aura is introducing a $499 e-ink digital photo frame that allows you to work without a cable.
I was also happy with the @Flowtica Scribepen from @zaczuo .
When we launched, we priced our entry tier at $9/month to make it an easy decision for anyone. But we noticed potential buyers kept asking hyper skeptical questions about security reliability and support . As an experiment we bumped the starting to $29/month with zero product changes, and closing conversations actually became smoother.
Have you ever found that raising your prices changed the quality or confidence of your buyers?
However, when I see someone is already starting to hire an employee, the question crosses my mind: What profit has that person achieved when they can afford to pay another extra person?
We track daily signups like a scoreboard, and a spike in traffic always feels amazing on a Tuesday morning. But then you log in on Monday and see a cancellation email from someone who paid on Friday and barely touched the dashboard. It makes you realize that an acquisition metric is just a vanity mirror if the product doesn't hook into their habits during that very first session.
How early in the onboarding flow do you actually know if a user is going to stick around long-term?
We originally priced based on team size, but realized our product was heavily driven by individual daily usage instead. Watching users downgrade because the billing didn't match their work reality was a brutal wake-up call.
Transitioning tiers without alienating early adopter feels like performing surgery while blindfolded. For founders who have successfully restructured pricing: what indicators told you it was time to make the shift?
AI is growing faster than ever, and honestly, it feels like we re riding a giant wave of creativity and innovation! From generative art to powerful language models, automation at work, and AI-powered healthcare breakthroughs it s amazing how much is happening. But here s the cool part: different things spark excitement for different people. Maybe it s a tool that made a tough job easier. Maybe it s a crazy new concept that opened your mind to fresh possibilities. Maybe it s just that "OMG" feeling you get when you see AI pull off something wild (like my Auntie, who literally gasped the first time she saw ChatGPT could calculate calories of her plates! ).
I'd love to hear what s making you most excited about AI right now! Big or small moments, drop them below and let's discuss together.
