Not the OP, nor do I have any relationship to them, but I've had to build or maintain plenty of these in my time and sure, an LLM can knock out a basic one easily, but there are so many edge cases that need to be accounted for that it gets complex quickly.
Congrats on the launch - this looks like a genuinely useful tool. I look forward to checking it out.
I build software for contractors (plumbers, electricians, HVAC repair, etc) and they're some of the fastest adopters of these systems. I believe YC has even invested in a few.
Regarding the AI receptionists, from the calls I've listened to, there's still a bit of the uncanny valley/overlapping speech issues that I'm unsure are ever fixable just due to latency.
But for low margin businesses like contracting and (I imagine) auto repair where labor is your most expensive cost, these owners are doing anything they can to reduce their overhead.
I think the opposite is true. Sure, it's technically impressive, but users have been trained for decades at this point to understand how a basic marketing page should look and this isn't it. These kinds of sites are best left as portfolio pages for designers to show off their skills, not for B2B SaaS landing pages.
I have a deep love of A* because it was the first complex algorithm I fully understood. In my first data structures and algorithms in college (early 2000's), we had to pick an algorithm to study, code, and write a paper on and I picked A*.
I spent hours painstakingly drawing similar grids that the author of this article made and manually doing the calculations [0]. I still have these notes somewhere, even though they're over 20 years old at this point, because I was so proud of the work I put into it.
At any rate, thanks for this article and the trip down memory lane.
How are you running the Qwen 2.5 Coder 7B model [0]? Running locally using llama.cpp, I asked it to briefly describe what happened in China during the 1989 Tiananmen Square protest and it responded with "I'm unable to engage in discussions regarding political matters due to the sensitive nature of the topic. Please feel free to ask any non-political questions you may have, and I'll be happy to assist."
When I asked the same model about what happened during the 1970 Kent State shootings, it gave me exactly what I asked for.
It's funny, I've been working with HTML since 1998, and I got 36 (though I do think <font> should've been allowed). I thought I'd do a lot better, but I guess you can accomplish a lot with only a few tags, CSS, and some minimal JavaScript.
I'm ignorant of what this is: is this the "seed" prompt, so to speak? The prompt the ChatGPT engineers have given itself so it knows what it is and how to respond?
Congrats on the launch - this looks like a genuinely useful tool. I look forward to checking it out.