Code X Savage

I ve been building more with AI lately, and I ve realised I am comfortable letting it write a lot of the code, but much less comfortable letting it decide the rules the product runs on. If I already know how something should behave, I usually define that first. What inputs are valid, what should happen, what should never happen, edge cases, fallback behaviour. AI can help me build it, but I don t want an important product rule to exist only because the model happened to infer it correctly in that conversation. The line gets blurry pretty quickly though.

I am fine giving AI much more freedom with something like UI implementation. Billing feels very different. So do permissions, data deletion, security checks, or anything where one slightly different interpretation can have an actual consequence. And once you start defining enough rules yourself, I am not even sure where vibe coding ends and AI-assisted development begins.

For people shipping real products this way, what do you still let the AI decide?

And what have you decided should always be deterministic, no matter how good the model gets?

Making a product is one big challenge. But shifting your mindset from building to marketing it might be an even bigger one.
As makers, we spend so much time improving the product. Then comes the question: How do we get people to discover it - and ultimately turn that attention into real customers and sales?
I'm not sure traditional approaches like email marketing and constantly posting on social media are enough anymore. The way people discover products is changing.
So I'm curious:

How do you approach marketing your product?
And for the marketers here:
What would you consider a modern marketing approach in 2026-2027? What would you advise an early-stage founder to focus on?
I'd love to hear different perspectives...