Warm traffic converts fine for me, people who already know the story, already trust me a bit. Cold traffic is a completely different problem. Someone lands on the site with zero context, sees "AI does x for you," and has no reason yet to believe it actually works.
Feels like the trust gap with AI products specifically is bigger than with a normal SaaS tool, people are more skeptical of AI claims by default right now.
Genuinely stuck on this one. What's actually worked for others building AI-powered products to earn trust from someone who has zero prior context walking in.
Quick question for frontend devs using tools like v0, Claude, or Cursor. When you get a new Figma design, what's your actual entry point now?
I used to start by setting up component state, props, and styling manually to keep things clean. Last week I tried just feeding screenshots and exported SVGs directly to the AI to spin up the UI instantly. It got me 80% there in 5 minutes, but the generated CSS was a messy soup of arbitrary Tailwind utility classes that took an hour to clean up. Curious how many of you are fully automating the UI handoff vs manually building the core markup first and then using AI for the logic.
Claude writes the table-based HTML layout -> ChatGPT checks Outlook rendering quirks -> Perplexity verifies dark-mode CSS compatibility
HTML emails feel like coding in 1999 tables inside tables, inline CSS everywhere and Outlook breaking every single button you design!
One AI generates modern CSS flexbox layouts that look amazing in Apple Mail but look totally destroyed in desktop Outlook, while another writes bulletproof legacy HTML that looks boring on dark mode mobile clients. Combining their inputs gets me templates that actually render everywhere. How do you tackle email coding with AI: single prompt, generator + tester, or multi-model passes?
