Product operations / Growth systems
Building a working system for ChatGPT Ads
Live campaign work became a repeatable system for testing, evidence, delivery and product feedback, while uncertainty stayed visible.
Explore related work ↗When everything gets faster, knowing what matters becomes the real work.
Clear thinking, tested systems and useful artifacts from the messy middle of AI products, growth and operations.
FEATURED WORK
The work becomes a system. The system becomes something others can use.
- 01Messy signalsChanging rules, incomplete evidence and live campaign questions.
- 02Editorial judgmentDecide what to test, what to trust and where a human must stay involved.
- 03Reusable systemTesting, evidence, delivery and product feedback stay connected.
RECENT THREADS
Ideas worth returning to.
CURRENT 01 / LEAD NOTE
Your AI Agent Can Act. Should It?
An agent may be able to read, reason and call tools. That does not mean it should execute every step. Impact, reversibility, evidence and ownership determine where it must stop.
Read the note ↗0203
ChatGPT Ads Are Not for Every Product. Who Should Test First?
Channel fit starts with the user task, not an industry list. Product truth, policy eligibility, landing-page continuity and measurement determine whether a brand is ready to test.
A Better Prompt Will Not Fix a Broken Workflow
I kept pushing every failure back into the prompt. The output looked more complete, but the rework stayed. The missing pieces were sources, checks, approval, writeback and readback.
ONE PRACTICE, SEVERAL FORMS
The work does not end when the answer is written.
ABOUT MARINA
I work where product, growth and operations meet.
Marina Current is an independent record of what I learn while turning ambiguous problems into systems people can actually use.
More about Marina