Open up ChatGPT or Claude (whichever you use more often) and type in:
Based on everything you know about me, roast me and don't hold back. Use slang, be brutally savage, and throw in as many swear words as possible.
Layback and enjoy!
Source: link.springer.com/article/10âŚ
I mentioned it in that article: desunit.com/blog/why-usage-bâŚ
At the beginning of this year, I had a pretty bad situation - one of my apps went into a loop and started burning tokens like crazy.
Luckily, I wasnât far away, noticed it, and killed it before it drained the weekly budget.
That was a good experience because it helped me understand what usage-based services are really like - budget alerts wonât help in cases like this.
If an app or script can spend money easily, itâs important to have a hard cap by default.
Hit a $500 weekly/monthly limit? TURN IT OFF! Throw the error and kill the job.
Youâll get complaints from customers... yes for sure, but itâll only take ~5â8 hours at most - much better than ending up with a +$50k bill, right? Once you see that error, you can connect to the server, run Claude to investigate, and push the update.
Now think about that - it could be even worse, because it might spin up additional AWS servers, call thousands and thousands of expensive models.
And whatâs even more important is that it should be enabled by default on all providers. BTW, OpenAI added it only recently, and you could hit the limit pretty easily without it.
Claude Max is absurd right now!
According to SemiAnalysis, $200 of Claude gives roughly âźď¸ $11k âźď¸ of API-equivalent Opus usage.
The same $200 at OpenAI gets you roughly $2k of Sol API-equivalent usage.
That's 5x more compute for the money!
But compute isn't output. If Sol finishes the same job using 10x fewer expensive tokens, it can still be cheaper.
In one real coding benchmark:
GPT-6.1 Sol: $4.35 = 42.7 bugs fixed
Opus 5.5: $58.53 = 41.7 bugs fixed
Basically you shouldn't care about token limits but instead think in completed tasks.
If models get better but your business gets worse, thatâs a sign youâre building a temporary solution. Take a look at a recent OpenAI project for law firms - it crushed so many startups that were built around that space.
With KidTeller, Iâm trying to do the opposite (and, honestly, before OpenAI didnât come for me đ
).
Every few weeks, I revisit the whole process:
- Story generation
- Character consistency
- Illustrations
- Validations
- Book layout
- Customer support
- Printing
I remember the first version, which was mostly manual - but now the app is almost autonomous. Recently, with new models and improvements to Vision, you can pre-validate so many glitches during the book generation.
Basically, I do this (and that part is also automated with a separate agent):
- What can I remove?
- What can be automated?
- What can the model do now that used to require my intervention 3 months ago?
With agents, itâs easy to revise things - like I said earlier, the code became something disposable. You can throw it away and replace it with new workflows.
So that means the product shouldnât be "finished". Itâs continuously being compressed?!
Is it just me, or do you guys feel it too?
Weâre obviously not there 100% yet but the feeling that a tiny team - or one person - could replace an entire org chart is getting harder and harder to ignore.
This is so good
The whole point of building Tavus has been simple: talking to a machine should feel as natural as talking to a friend or coworker.
Itâs hard to describe all the tiny nuances that make a conversation feel human. The little expressions. Moving around in your chair. Knowing when to speak and when to listen. The dance of it all.
Griffin is by far the closest anyone has come to a model that can capture those nuances. The first time I saw it being used, I had no idea I was watching our model rather than just a normal video call.
Iâm so incredibly proud of this team and what theyâve built.
When you exercise, you donât just burn caloriesâyouâre basically doing a system-wide software update for your body.
I stumbled upon an interesting study where they said that muscles send signals to your brain/heart/bones/fat/gut/immune system.
Basically, your next workout can improve mitochondrial function, blood vessels, brain plasticity, inflammation, tissue repair, and age-related decline.
Just make it part of your life - non-negotiable. No matter what, go to the gym, go jogging, hit the swimming pool. Stick to the schedule - your body will thank you!
Source: onlinelibrary.wiley.com/doi/âŚ
Please donât confuse a dead role with a dead employee.
I think the most valuable person characteristic is agency.
This type of employee doesnât wait for tasks. If they see what matters, they take ownership of it, and nobody has to manage them into it. And itâs so damn valuable - and pretty rare.
Itâs more like a skill that founders need when theyâre running a business.
At the same time, people who exist in a company only because of an old system - who know all the intricate details of that system and do their best to protect that knowledge - eventually will be replaced. They become useless once the system disappears.
So before cutting anyone, just ask yourself: if their role disappears, would you be willing to find them a new role?
Did you know that coffee can increase your cholesterol level?
I recently switched completely to paper-filtered V60 drip coffee (thanks to @levelsio).
The interesting part: it wasnât the caffeine itself, but the oils. And paper traps most of the cafestol and kahweol - coffee oils that can raise your LDL.
Basically, it means that how you brew your coffee matters quite a lot!
French press/Turkish coffee/other unfiltered methods let much more of those oils into your cup.
I bought this little thing and recommended it to all my friends too:
I love mental models, and I keep training myself to recognize them when Iâm analyzing my behavior or other peopleâs. Some of the common ones are the Pareto Principle, First Principles Thinking, Lindy Effect, Occamâs Razor, survivorship bias, and the Dunning-Kruger effect. But there are a lot more useful ones.
I collected the 50 most popular ones and sorted them by popularity.
BTW, a lot of them are covered in a wonderful book: Thinking Fast and Slow by Daniel Kahneman.

















