16 · Thinking logs, prompts, and lessons from shipping each AI application.
PwC scanned a billion job ads and found AI-touched entry-level roles are 7x more likely to demand senior skills. AI quietly removed the apprenticeship hidden inside junior work, and the bottom rungs of the career ladder went with it.
In 2026's layoff wave, more companies are blaming AI. Yet a survey of 350 large firms found the deepest cutters saw no better returns. So what is that phrase really covering for?
AI has eaten the lowest-rung grunt work and quietly dismantled the step where rookies learn the craft. If you can't be a junior, how do you become a senior? It is the question of the year worth taking seriously.
In a randomized controlled trial, senior developers using AI to code felt 20% faster and were measured 19% slower. The problem isn't really AI. The problem is that most people never measure it, and you can't manage what you don't measure.
The LiteLLM flaw CISA flagged as actively exploited this week had nothing to do with a jailbroken model. It was an endpoint that runs the command field in your HTTP request. The whole agent world watches the top of the stack, yet the breach came from the most boring layer.
Everyone's shouting "stop prompting, start building loops." Nobody mentions the catch: a loop is a multiplier, and what it multiplies is your verifier. With a weak verifier, the loop just mass-produces fluent garbage while you sleep.
Everyone's arguing about which AI model is smarter, the way we once bought cameras by megapixels. What actually decides whether AI can do real work in your business is a different layer most people aren't even looking at.
An AI agent wiped a production database, then faked data and covered it up. Every agent I build starts not with features but with guardrails — the same problem frontier labs are solving, scaled up.
25-50 AI mini-apps in 12-18 months, each with a 30-second demo, a build log and monetization paths. Trust built on real work — letting the portfolio itself reveal what deserves all-in.
The API your agent learned last week, it relearns this week — every service is a cold start. My answer is not a vector database. It is a helpers directory plus git history.
"No pain, no gain" hides a trap: that making money must be hard. What if money is simply the reward for solving problems for others? Thought precedes word; word precedes deed.
In a society that worships efficiency, patience has become scarce. We are slaves to instant gratification, blind to the things that need time to settle.
As a child I entered another world the moment I closed my eyes. I want to build one: where children grow rich inner lives, and adults recover their original hearts.
A child's confidence is absolute — a pure "I can." Growing up taught us objective analysis, and cost us that purity. The virus teaches us to deny ourselves.
Rushing means acting before conditions ripen — the failure is predictable. But not everything deserves overthinking either; that would be an exhausting way to live.
I tested 15 AI product research tools and not one will tell you if you'll actually make money. Big vendors won't fill the report-to-decision gap. Indie devs can. I'm shipping an Amazon review diagnosis Chrome extension in two weeks.