> just need to be good enough and fast as fuck

Hard disagree. There are very few scenarios where I'd pick speed (quantity) over intelligence (quality) for anything remotely to do with building systems.

If you thought a human working on something will benefit from being "agile" (building fast, shipping quickly, iterating, getting feedback, improving), why should it be any different from AI models?

Implicit in your claim are specific assumptions about how expensive/untenable it is to build systemic guardrails and human feedback, and specific cost/benefit ratio of approximate goal attainment instead of perfect goal attainment. Rest assured that there is a whole portfolio of situations where different design points make most sense.

> why should it be any different from AI models?

1. law of diminishing returns - AI is already much, much faster at many tasks than humans, especially at spitting out text, so becoming even faster doesn’t always make that much of a difference. 2. theory of constraints - throughput of a system is mostly limited by the „weakest link“ or slowest part, which might not be the LLM, but some human-in-the-loop, which might be reduced only by smarter AI, not by faster AI. 3. Intelligence is an emergent property of a system, not a property of its parts - with other words: intelligent behaviour is created through interactions. More powerful LLMs enable new levels of interaction that are just not available with less capable models. You don’t want to bring a knife, not even the quickest one in town, to a massive war of nukes.

I agree with you for many use cases, but for the use case I'm focused on (Voice AI) speed is absolutely everything. Every millisecond counts for voice, and most voice use cases don't require anything close to "deep thinking. E.g., for inbound customer support use cases, we really just want the voice agent to be fast and follow the SOP.

If you have a SOP, most of the decision logic can be encoded and strictly enforced. There is zero intelligence involved in this process, it’s just if/else. The key part is understanding the customer request and mapping it to the cases encoded in the SOP - and for that part, intelligence is absolutely required or your customers will not feel „supported“ at all, but be better off with a simple form.

As a customer when confronted with such a system I hang up and never ever do business with that company again. Regardless of polish, they're useless.

What do you mean by "such a system"? One that uses AI to funnel your natural language request into their system of SOP? Or one that uses SOPs to handle cases in general? SOP are great, they drastically reduce errors, since the total error is the square root of the sum of squares of random error and bias – while bias still occurs, the random error can and should be reduced by SOPs, whenever possible. The problem is that SOPs can be really bad: "Wait, I will speak to my manager" -> probably bad SOP. "Wait, I will get my manager so that you can speak to them" -> might be a better SOP, depending on the circumstances.

It never works. You always just get the digital equivalent of a runaround and there simply isn't a human in the loop to take over when the AI botches it (again). So I gave up trying, this crap should not be deployed unless it works at least as good as a person. You can't force people to put up with junk implementations of otherwise good ideas in the hope that one day you'll get it right, customer service should be a service because on the other end of the line is someone with a very high probability of being already dissatisfied with your company and/or your product. For me this is not negotiable, if my time is less valuable to you, the company, than it is to actually put someone on to help then my money will go somewhere else.

I'm still not sure if you're speaking of SOP in general or AI-interfaces to them. Why don't you answer that simple question before ranting on?

Speed is great for UI iteration or any case where a human must be in the loop.

As long as the faster tech is reliable and I understand its quirks, I can work with it.