28d • 🧪 Experiment: Tests
How much has your workflow actually changed with AI?
Attached is what a rigorous CRO workflow looked like at my old agency a few years back.
Every step had a dedicated human. Research, ideation, technical feasibility, documentation, design, coding, QA. If anyone was slow or busy, the whole thing stalled. And this is assuming the team actually had time to go through all of it — sometimes you had to cut corners just to keep the program moving.
Last week and I went live to talk about how much this has changed. Full replay here if you missed it:
A few things that came up:
- Automated test reporting was both of our first real AI use case (~2023). The mechanical part of writing up results doesn't need a human. That time goes back to strategy.
- Prototyping with AI closed the communication gap between CRO strategists and designers. Days of back-and-forth became hours.
- AI-coded variants are no longer science fiction. One practitioner at Jones Road is running his entire program solo today.
We also talked about what won't change: the contextual judgment that comes from knowing a brand deeply, its customers, its history, what's keeping the founder up at night. That's still on us.
Curious where this community is at. What's the first step in that process you stopped doing manually?
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How much has your workflow actually changed with AI?
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