This process is an ongoing effort, with an upfront engineering commitment which depends entirely on the product, but can be months of work. But if you have your own backend, I would argue this hard works is made HARDER by implementing something like Salesforce/Fin, because you have to now pipe a bunch of data and structure over to them, which is a pain.

LLM models capable of doing this are a commodity, the UI for customers and support teams is pretty trivial, the database/backend is trivial.

Outside of some cases, if you have your own app, and you have a given support volume, build your own.

This is rarely discussed, and while I agree we should be spending non-zero effort on safety, stopping progress is not an option.

IMO Anthropic should just play the game at all the price tiers because it otherwise forces people to go elsewhere. I would probably pay for a "Proverb"/"Aphorism" class model that was worse than Deepseek at the same price just to stay in the ecosystem, if given the option.

(Note: I also see Google seem to make the same mistake, they actually do have competitive models in Gemma family but they don't make them available via the API. So there may be some reason for this.)

We saw great results in our usecase using google direct. Moved to Openrouter because google wouldn't let us use it beyond a test.

Then Openrouters performance looked worse, not sure if there was a quantized version or something. So we instead looked at Deepseek v4 Flash, and opted to go for that.

This model would probably be great for a super low cost cloud model, would love to use it in the cloud, Google makes you go elsewhere.

I do agree with the author that these companies seem much stronger financially recently though.

I would agree that modest minimum wage increases are far from the worst thing the government does, compared to other government interventions.

The issue historically is that these concierge things are expensive (should be solved by tech/ai) and the warranties create their own class of problems (claim frustrations etc).

But home ownership is expensive, no way around it. But the work in coordinating etc doesn’t fundamentally need to be.

I don't see it going away. I mean, it may not grow as fast as now, but I don't see it growing away either. I get why the memory makers do not want to bankrupt themselves, but it feels like there's got to be some way to push that risk off onto model providers and other people in the ecosystem to allow us to grow ram capacity more like 50% per year.

I was actually hoping for "Opus level intelligence at Haiku costs" model or "Sonnet level performance in Gemini 3.0 pricing", either of these would have been a workhorse, plus a competitor to Claude/Codex (1 app to do things). I got neither.