Your open rates dropped and you blamed your subject lines. The real culprit is usually deliverability — the metric that fails invisibly and takes everything down with it.
One AI that does everything sounds better than many that each do one thing. In practice, specialized assistants often crush general ones at the tasks that actually matter to you.
Every week brings a new AI breakthrough that will "change everything" — and most of it is noise. Learning to separate genuine capability from hype is now a core professional skill.
AI can write a hundred posts in minutes — and that's exactly the problem. Here's the line between AI that amplifies your voice and AI that drowns the internet in slop.
Personalized outreach converts. Over-personalized outreach makes people recoil. Here's the line between 'they did their homework' and 'how do they know that?'
A great API feels obvious — you guess how it works and you're right. That feeling isn't an accident; it's the product of dozens of small design choices most teams never think about.
Everyone obsesses over acquiring new customers while quietly leaking the ones they have. Retention isn't a support function — it's the most powerful and overlooked growth lever you've got.
Every product team drowns in good ideas. The teams that build great products aren't the ones with the most ideas — they're the ones that say no to the most. Strategy is mostly subtraction.
I went from 200 to 11,000 subscribers without hiring anyone. AI didn't write my newsletter — it did everything around it.
I'm a team of one and I publish more than companies with whole marketing departments. The secret isn't hustle — it's a system.
The AI conversation is obsessed with the biggest, most capable models. But for a huge range of real tasks, a smaller, faster, cheaper model is the better choice. Capability you don't need is just cost.
The "AI will take your job" panic and the "AI changes nothing" denial are both wrong. The honest middle is more useful — and more demanding — than either comfortable extreme.
