In my experience, knowing you have glaring UX problems, or that product does not have an easy intuitive user flow is rarely the bottleneck for developing new & useful user facing AI applications.
There’s usually a very real and very hard to describe data related impracticality that voids the usefulness of a design that appears well thought out and complete.
Additionally enterprise AI products are built on custom integrations, and complexity of maintenance overwhelms the engineering team and leaves very little time to build out new things.
The simplest changes that come from knowing insider customer experience have significant impacts. If the default range for a duration filter is 5-30min, and it turns out the most interesting data is really on 1.5hr+ rows. Or adding search across legacy platforms that bury uniform information under deeply nested modals, which people spend 20+ a week clicking through to collect a usable sample set based on existence of a few keywords. But building a system that returns good search results is the hard part.
I do like the “build on top” pieces in your gallery. If it’s fast and reliable enough to collab during a discovery meeting, or a customer success meeting, that would be genius. Because then you’d have a way to pull customers into the right mindset to articulate frustrations with their current software, iterate on getting those frustrations get translated into concrete designs together, and at the end you walk away with something that proves you both understand and can solve their problem to any audience.
There’s no point comparing apples to deep fried oreos for caloric density. The 919 Evo is a fully de-restricted prototype based off a legendary homologated race car, not remotely in the same category. The BYD U9 is a road-legal EV, comparing the two doesn’t mean much.
Funny you mention the Ford SuperVan because that’s much closer to the 919 Evo in the "no homologation no limits" category than anything you could register and drive off a lot. A fairer and much more impressive benchmark is the road-legal Ford Mustang GTD running a 6:52. That's still far quicker than the BYD, with roughly two thousand less horsepower.
Looks nice. For a true whiteboard experience, I think the 'Draw' tool should probably be the default rather than 'Select'. I was clicking around at first and couldn’t figure out why nothing was showing up.
The San Francisco marathon is this weekend and I think it’s going to break the city for this Robotaxi launch.
There's major road closures for key arteries like Market st, Embarcadero, fisherman’s wharf, and the Presidio. Traffic always crawls and downtown will become a maze. Even 'human' drivers struggle because you can't cross large boundaries of the city.
Waymo launched in the city about a month before last year’s race. I took one to the starting line, but it couldn’t reach the actual drop-off. It stalled about 0.3 miles away and I had to run the rest. The issue wasn’t the route, but the chaos. Dense foot traffic, impromptu street closure re-routes, and unpredictable crowd behavior were hard to autonomously solve.
Tesla's robotaxi launch will have to overcome the same challenging mix of realtime conditions: limited access to closure data, learning of impromptu re-routing logic, unpredictable human crowds.
Definitely it’s a bold move to launch this weekend. If it works, great PR.
Actually this sounds great. I got way more out of codecademy’s in-browser, interactive challenges than I did in my middle & high-school classes programming classes. The "learn by doing" process really built my confidence. If you could "demo" your docs directly in the browser it's much easier to learn by doing. I think that'd drive up adoption and you might even crowdsource bug discovery.
I used to have plenty of energy running 40-50miles per week, but when I ramped up to 80mpw I started nodding off in my chair by 1 PM. Then despite the higher mileage and more intense training, my race times slipped. My half went from 1:23 to 1:28, and I felt drained, irritable and angry unless I took a long break. After digging in, I learned that very high mileage can deplete iron levels. Once I focused on improving my iron absorption, I finally got my energy back and everything clicked. Even while holding 80+ mpw for the upcoming SF Marathon, I still knocked 5% off my Bay to Breakers time (48:51 this year) and cut my 5K PR from 19:17 to 18:37.
Curious how you landed on the idea to partner with local GCP/Azure reps. That’s a smart move, I didn’t realize they’d be open to helping. Did you pitch it as a way to help them close deals by offering custom solutions?
Saw some other products partners with a Cloud vendor for marketing exposure, so we look into it.
It turns out that the most effective and easy way for their sales rep to pitch your products to their client is if you have something complementary. For us, this is because they have similar products, so they can propose it to the client if they don't like the native one.
cloud reps get commission for services sold via their marketplace. Often they even have a bigger financial incentive to sell third party products over native GCP/Azure stuff.
Yeah, but a few years down the road, I learnt that the incentives are often misaligned. For example, the Account Manager wants all their client's consumption in their client's account, so they push the client for a dedicated Cloud deployment, while the other sales rep wants it on the other reseller account, etc.
It also sometimes conflicts with the incentives of us.
FWIW I built a streamlit app to extrapolate tribal knowledge in excel trackers into markdown wikis for vector database ingestion. Instead of uploading raw tables, it maps sheet headers to real headings to wrap each section in wiki-type format context pages. The UI lets you pick out QA sections from local files, but I’m stuck on how to persist selections and configs for repeat runs. Curious how others would tackle the issue of repeatable settings.
This is fascinating. Could the same machine (PRAD) be adapted to zap mosquitoes in flight and help control disease vectors? Nothing’s worse than waking up to multiple mosquito bites and dreading falling asleep knowing there’ll be more.
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