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2026 AI-Speed Reality Check

Why this survey exists

AI tools have made it incredibly easy to ship something that looks like a product. What’s less clear is what happens after the demo — when speed meets reality.

This short, anonymous survey aims to identify patterns that founders observe when using AI and “vibe coding” to build quickly: what’s working, what feels risky, and what only becomes apparent later.

Anonymous. Takes ~3 minutes. No sales follow-up.

Q1. What best describes you?

Founder / Co-founder

CTO / Head of Engineering

Solo builder

Operator / Advisor

Q2. What stage is your primary product?

Idea / Demo

Prototype (users, no revenue)

Product (paying customers)

Scaling / Consumer-facing

Scaling / Enterprise-facing

Q3. Are you currently using AI tools to build or ship product?

Yes, heavily (code, architecture, workflows)

Yes, selectively

Experimenting

Q4. Which statement feels closest to the truth?

AI made us dramatically faster with no downside so far

AI made us faster, but things feel messier

We’re not sure what AI has introduced

We already feel some regret

Q5. Where do you feel the most uncertainty today? (Select up to 2)

Architecture decisions we can’t undo

Hidden technical debt

Security / data boundaries

Deployment & reliability

Scaling confidence

Nothing feels risky yet

Q6. If this product succeeds, what worries you most?

Needing a major rewrite

Production incidents

Investor / enterprise diligence

Losing velocity over time

Nothing — confident as-is

Q7. Have you ever paid (or would you pay) for an independent architecture or system-risk review?

Already have

Would seriously consider

Maybe, depending on scope

Q8. What would make such a review worth paying for? (1-2 sentences)

Q9. At what stage would this kind of review become valuable?

Not needed

Before first real customers

Before scale / fundraising

After first incidents

Not sure