DeepSeek recently officially raised its prices. As someone whose token usage was closing in on 100M tokens last quarter (see [My Token Usage Exploded 13× in Three Months]), I didn’t pay much attention at first — after all, DeepSeek was already very cheap, and even the raised price was still lower than the official price announced when V4 first launched. But I underestimated my usage: after a day of real-world testing at the new prices, it became clear that the cost is genuinely hard for an individual to bear. If I didn’t find a way around it, I’d be working just to pay for tokens.

When I handed my workspace over to Multica back in May, I was happily picturing how letting AI take on more of the work would mean fewer late nights for me. The work did get done — but my token bill went through the roof. The other day I pulled a three-month usage report for the workspace out of curiosity, and I had to double-check that I was reading it right: about 38M tokens in May, jumping to nearly 500M in July, with a three-month total of 883M. So here’s a data-driven look at how my token consumption exploded over those three months — and why. Because my AI tasks have gone from “trying it out” to “can’t live without it”.

After previously tinkering with putting Claude Science into a Docker container, I’ve been using it relatively intensively over the past two weeks (connected to DeepSeek, not the original Anthropic version, of course), so I want to talk about its advantages and limitations.

I recently worked on a small project: putting the Linux version of Claude Science into a Docker container, paired with an API Bridge so it can run through third-party API backends without needing to hold an Anthropic API Key directly.

The process was more eventful than expected—also quite interesting. Here’s a record of it.

Lately I’ve been working on integrating several AI applications, which means I need to switch between different models. That’s when I discovered a problem — the APIs of OpenAI and Anthropic are incompatible.

I had been thinking that when my blog’s total page views hit 50,000 again, I’d write a celebratory post. Little did I expect that the clicks would grow much faster than I imagined — before I could even finish drafting the celebration, the number had already blown past it.

Recently, many token-selling providers have been raising prices in disguised ways. Just as everyone was getting used to “AI is getting more expensive,” DeepSeek did something absurd — they permanently cut the price of V4-Pro to a quarter of the original.

I recently switched to another batch of commonly used AI tools — some pleasantly surprising, some left me speechless. Here’s my honest record. Multica: Master of Cyber Livestock ManagementMultica’s...

A few days ago, DeepSeek officially released the V4 preview, and this version really attracted a lot of attention. Rumors had been circulating since before the Chinese New Year. Since I happened to be leaving my job at the time, I didn’t get to try it out immediately. Now that I have some time, I integrated it with Opencode and Multica and wrote this blog post to test it out.

Today I came across an article from Qubit reporting that Anthropic just released Claude Managed Agents and already got an “open-source alternative” — this project is called Multica. I started using this project last week, so I did some digging.