Yep! At the end of months will have exact data, and I for sure will utilise 100% out of it.

Based on the first 3 days of Grok usage on fresh billing cycle - it now has 2x less tokens for Grok Bot usage. In fact it is more like 4x less then old Ultra plan, because previous plan had 2 subscriptions Cursor and Grok one, now it is single. Will see what end of the month will show, but Grok bot started eating usage like crazy, so defo looking at multi-vendor alternative for it.

Your MCP's training plan: Pick one job. Write three ways to ask for it. Define what success means. Run them in two agent apps. Read every tool call. Fix the first gap. Rerun. That's the idea behind Spirit Room: a Hyperbolic Time Chamber for your tools. spiritroom.app/

Does everyone have this crazy Singapore traffic spikes in their web analytics?

I feel that the Codex team has slowed down the model responses at least two times after they decided to roll back use limits for the pro users. Even Sol 6.1 feels painfully slow now.

The same issue with a lot of the security patches. The rsync CVE release was waiting more than a month to get the fix (not sure if it finally landed) and justification from the team (after weeks of chasing them) was that they "felt" that such a big patch can introduce even more bugs, so they would rather wait and see what happens...

I recently had a meeting with our Google Vertex account managers. The first thing that struck me is that they are trying to fight for me against another Google department, trying to convert me from using AI Studio to Vertex AI. Then they try to offer a 10% discount if I commit to some predictable usage, which sounded okay. I went to verify how much it will save for us and checked the prices of the current models. What I have found is that starting from January 1 there will be a 100% price increase for models like Gemini 3.8 Flash. 100% Carl! I really liked that model for workflows, and company brain cases. SLA was great - just amazing workhorse. But would it worth with this hike? To be absolutely open we were looking for alternatives for quite a while and were trying to migrate off to OSS models like GLM 5.3, which is in a similar price/intelligence category - and it was way below in terms of intelligence and speed (yet I have not fine tuned prompts and harness for it). Seems like it is a time for aggressive optimisations, actually measuring every use-case, tuning prompts and hand picking models for it!

Not talking that they going to 2x prices starting from Jan 😥

reqproof.com - force agents to do such quality engineering, and evidence for its changes, that even the most stubborn QA will approve it without doing manual testing.

Partial pass is also the data. Every learning is very valuable.

I feel I just freaked out our whole marketing team by trying a few "experiments" and showing what productivity looks like when you equipped with dozens of agents. Have made so much data driven research and changes in a few hours, what took weeks before 😂

I love how agents do the estimations - it will take a 2 days of work - and then complete it in 15 minutes.

official retirement was on October 20, 2026

Some of us will get 100% increase on the AI bills starting from new year. Read the small text. Google going to 2x price for all its models soon. Below the prices for Gemini 3.8 Flash model (which I love btw), but it makes a lot of my use-cases simply not economically feasible. Miss the Gemini 2.5-flash, it was amazing 🥲

Recording of my presentation on verifying AI generated code piped.video/watch?v=Qh5SGXSs…

What I'm building: Spirit Room, a test environment for MCP workflows. Start with a user job and an expected result. Run it across agent apps. Inspect where it breaks. Test the fix. Currently a hands-on pilot. What job should your MCP pass reliably? spiritroom.app/