People can't prompt: designing AI agents that don't require it
Whenever we think our users got prompting figured out, we're proven wrong again.
After 50+ user tests with the DeepL AI Agent, here's the uncomfortable truth: people can't prompt. And that's not their fault.
The standard chat interface has fundamental limitations:
- Typing speed bottleneck (nobody types at 400 keys per minute)
- Clarity issues (what sounds clear in your head doesn't always translate to text)
- Precision problems (context is everything, but users don't know what context to provide)
Research backs this up: nearly half the population struggles with complex text prompts. We're forcing users to become prompt engineers just to reach basic UX levels that visual interfaces previously provided for free.
So what's the solution?
1) Let them speak instead of type - Voice input removes friction and enables more natural interaction
2) Never let raw prompts reach your agent - Use prompt enhancers, planning modes, and pre-curation
3) Provide structure and context - Guide users with templates, examples, and smart defaults
Good UX shouldn't require users to master a new skill. It should work intuitively. The future isn't about teaching everyone prompt engineering. It's about building products that don't need it.