Most marketing systems produce. Few compound.

A producing system makes more output every month and knows nothing new. A compounding system carries what worked into what it does next. Both look identical in a demo; only one is an asset a year later. Growth Engineering is the practice of building the second kind, across seven disciplines: Growth (own a number; without it, agents run and nothing is accountable to anything), Direction (command the machine without approving every step; without it, surrender or a second job), Distinctiveness (stay tell-apart-able from the machine mean and the category mean; without it, correct work nobody can tell from anyone else's), Memory (keep what worked in a form the next run can read; without it, month four repeats month one), Experiments (hold beliefs that can lose; without it, nothing is ever wrong so nothing is ever learned), Production (make the asset end to end at channel standard), and Eval (test yourself before you change yourself; it runs through the other six). Distinctiveness Engineering and Direction are two of its disciplines, each with its own home.

Every marketer is now a growth engineer. AI made the production side of marketing cheap; what is scarce is the person who can direct the machine, keep the work tell-apart-able, and prove it worked. That is not a new job title. It is the job. The seven disciplines are learnable: Stack Score grades your own stack at its weakest discipline, and you can join Ivanooo Growth Engineering, where the whole system is installed on your own business and you learn all seven by running them. Everything written on the practice is collected in the writing archive.

The research behind the practice: Ivanooo runs a standalone research program on how professionals lose command of AI without noticing. The chain it studies ends at the brand: people hand their thinking to the machine, work produced that way converges toward the machine's average, and a converged brand becomes one AI cannot tell apart — a brand AI never recommends. The middle links are proven science; the full chain is what the program studies, and it is why the practice begins with a human directing a working machine, measured. The research publishes at research grade or not at all; marketing is where it is proven commercially, and that order never reverses.