If you mean hosting and serving all the other elements of the agent stack, then, yes. We handle sovereign data, so part of our whole value proposition is that every part of our pipeline is hosted in Canada.

Nobody asked for it because nobody knew a crab chair was an option! Now I don’t need my legs to get a coffee?? Sign me up.

My legs work fine and I want a crab chair!

Was thinking the same thing- I still have those posters and was thinking of them when I saw this was patent pending.

It also mansplains incessantly; I was imprecise in mentioning a more “powerful” antenna - I know the antenna doesn’t determine the power, I was typing quickly and just meant “better antenna”. Claude went off on all the ways I was wrong about antennas, and turned everything towards correcting - at length - my feeble thinking. Exhausting. Worth pointing out the wrong adjective relates to the wrong mental model, did not need several paragraphs and a chart to do so.

I find the base logic of this post flawed - it can make a prototype, but what about everything after the prototype? Well, um, then you work on those things too? It seems like the premise of articles like this assume that using AI means whatever you can one-shot from a four line prompt. There are obviously a lot of issues with it, but this just sounds like uncritical self-justification rather than any fundamental insight.

That's funny, I found the article to align exactly with my own personal experience of working with LLMs in cobdebases with poor test coverage, uncertain requirements and non standard production deployments. As soon as you are off the happy path, they start making really bad assumptions that break in production. Even the smartest LLMs haven't come close to what I'd consider good architecture for those environments.