The dominos continue to fall. It seems like the line keeps moving further and further away from what's best for users.

Before some of these companies would listen, but will they now?

What's the best way to show our disagreement?

Use forums. They aren't locked down. For example, post on https://discuss.privacyguides.net, instead of reddit[.]com/r/privacy.

If you can find them, these forums often have much better content with less censorship and less slop.

The problem seems to me that search engines love Reddit threads more than anything else. And they often are the most useful content that a search engine brings up. Not sure what to do about that.

I recently attended a talk about a related topic--how to decide on the right level of autonomy for an agent. https://github.com/jeff52415/architecting-agentic-systems-sl...

Just to be clear, this isn't my talk. I just noticed some similarities with the linked story.

That's a great talk, thank you for sharing!

We should be able to find something that was missed!

Did you let any LLMs search this?

Yeah, actually I think that’s really smart. Because after you convert everything to JPEG everything is just an image that you can ask LLMs to look at.

Unfortunately, I don’t have the experience with local models, but if someone wants to point me in like the right direction or send me an email to collab.

There are actually a few capable VL models out there that can run on even modest hardware. If you want to keep things simple and process everything locally, I’d recommend something like Qwen3 VL [1]. It’s not the fastest model, but you can just let it chew through the docs over a weekend.

In my experience, it takes about 15 to 30 seconds per image, but the quality of the results is quite good if a bit verbose [2].

[1] - https://huggingface.co/Qwen/Qwen3-VL-8B-Instruct-FP8

[2] - https://mordenstar.com/other/vlm-xkcd

Nice idea. Can I choose a strategy for token reduction, based on what I'm optimzing for? I might be ok with a quality drop for a great cost savings, for example.

Yeah, you can set roughly the target ratio through the api (for example, target_ratio=.3), though our api will try to maximize the quality given the this target ratio (and it might add a couple more tokens to do so)

Should definitely seed with recruiters in Japan. It's still a huge part of finding a job there. Robert Walters, Robert Half, Hays and more.

Also, is this intended for individual recruiters as well or just agencies?

Can you add a specific rating around if they respect your time? Don't think we need a 30 min call for you to finally reveal the role to me!

Added. More agencies than individual. Wanted to start with a basic option which would be straightforward without registration. Later could add more features.

So what you really mean is you are going to do better and more detailed skills files so you can get an architecture that you've thought through rather than something random?

Partly, but the order matters. The CLAUDE.md constraints only work if you designed the architecture first. They're just how you communicate it to the AI. The mistake I made wasn't writing bad skills files, it was not designing anything at all and expecting the AI to make coherent structural decisions across 30 sessions.

The rewrite is me sitting down with a blank doc and drawing the boxes before any code exists. Then the CLAUDE.md enforces what I already decided. Whether that actually holds up as the project grows, I genuinely don't know yet.

Are you really saving any time at all using AI at all then? If you have to write the architecture for it, write all the rules you want it to follow, check everything it's written, and then reprompt it because it's not how you want it?

Yes. I do all of this and I'd estimate 50-100% coding time savings. A lot of that comes from better multitasking over single-workstream throughput, which I suppose might compromise the gains depending on what you're doing. For me it amplifies the speedup by allowing some of my "coding time" to be spent on non-coding tasks too.

But even if coding time is reduced by half, is that worth the downsides? Coding has never really been a major percentage of my time.

I could be wrong in some subtle way I'm not seeing, but I believe the model we're working in avoids the downsides. I actually think my review bar is slightly higher now, because I don't feel as much pressure to compromise my standards when I know Claude is capable of writing the code I want.

I would say the main downside is not knowing what all your code does, and where to find any particular function.

After the initial coding is complete, will you need to use AI to fix bugs? Presumably that is both slower and more expensive than doing it by hand when you know exactly where to look?

I think poster means a local area, not a locally-owned coffee shop. Meaning in NYC it doesn't matter if it's a Starbucks or Locally owned shop, you still wouldn't leave the laptop.

However, if it's a local coffee shop in the middle of Nebraska, you would be ok.

Was this in Shibuya? Maybe there or Roppongi, but most other places aren't really a worry.

Kyoto. But I disagree that it's not a worry. It only takes one opportunistic person to ruin your day (or month)

Do you think there's staying power here or it's just novelty still?

This is a nicely polished product. Seems like there was good attention to detail. You could add a bit more value before requiring upgrade. I'm not sure what jobs I'll see or how it will match if I upgrade. If I pay and get matches I don't like, that's going to be a bad experience. Suggest some preview of what the matches would be like.