Let’s be real:

“Trust me, bro” is not a product strategy.

If your AI chat can’t cite sources, you’re not building an assistant, you’re building a liability.

✅ What trust looks like in UX:

- Inline citations
- Confidence bands (“70% likely accurate”)
- Retry transparency (“we retried 2x”)
- Why this tool traces

🔍 The trust gaps killing AI tools:

- No citations → feels like guessing
- Hallucinated content → polished nonsense
- Black-box routing → “why this tool?”
- ROI claims without proof → founder optimism ≠ evidence

Mistake #2 → No clear first action 🧭

Telling users “type any prompt” feels empowering.

In reality → it’s paralyzing.

Blank states kill momentum.

What works?

Give them one guided action that shows instant value.

Mistake #1 → Too much info 🤯

Founders love to explain everything upfront:

- Long demo videos
- Feature tours
- “Read this before you start” walls of text

Result → user fatigue before they even try the product.

4/🧱 Gap: Navigation is clean, but not clear

Minimal interfaces can hide complexity. If users can’t tell what to do next, they stall

✅ Fix: Use layout, grouping, and sample outputs to guide the path

3/⚡️ Gap: Usage limits are confusing

Credits, tokens, tiers — all common. But if users don’t know what they get, they won’t try

✅ Fix: Translate limits into results (e.g., “Build 2 full projects”)

2/ 🧭 Gap: CTAs don’t set expectations

A button like “Start building” sounds exciting, but if users don’t know what happens next, they hesitate

✅ Fix: Add context → next-step previews, quick benefits, or expected outcome