Trust, not AI, was the hard part of building a research tool

A small online product turns everyday-language requests into professional reports. development experience showed that the hardest problem was not the AI itself.

Fast answers were not enough: people wanted dependable , information, and reports they could confidently use in real work. Source quality, report organization, and overall ease of use therefore required far more time than expected.

Key points

  • The product creates professional reports from everyday-language requests.
  • Earning user trust was harder than generating answers with AI.
  • People wanted dependable and information.
  • Reports needed to be reliable enough for real work.
  • Source quality, report structure, and ease of use took more work than expected.
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