What if your entire engineering team used AI coding tools - and you could prove it helped?

Coinbase just hit that milestone. 100% Cursor adoption across all engineers, with single engineers now completing projects in days that used to take teams months. The interesting part: they measured the downsides too. More AI code meant more bugs - so they built quality gates to catch them.

Meanwhile, two founders are running marketing operations with zero hires. One built an AI agent managing a $100K media company - writing daily newsletters for 10,000 readers, repurposing content across TikTok, Twitter, LinkedIn, and Reddit. The other created a 24/7 lead generation machine that outperforms five employees.

The pattern across both stories: humans stay in the loop for judgment and quality control. AI handles the repetitive execution - whether that's code migrations or content distribution.

The formula is consistent: automation tools + AI APIs + human oversight = output that scales without headcount.

P.S. What repetitive work task would you hand to an AI agent first? Reply with what you're automating - or what's blocking you from starting.