AI for Builders

AI UX Patterns & Human-in-the-Loop

AI that's 95% accurate still fails 1 in 20 times. This series covers the UX patterns that make uncertainty transparent, and the human oversight architectures that catch what the model misses.

4 parts · ~34 min total

  1. Designing for UncertaintyConfidence signals, progressive disclosure, loading states, and error patterns — the UX toolkit for AI features that don't overpromise.~8 min3 interactive demos
  2. When to Keep Humans in the LoopAutomation thresholds, review queues, escalation patterns, and feedback loops — how to design the right balance of AI and human judgment.~8 min3 interactive demos
  3. Streaming UX PatternsToken by token, chunk by chunk — the craft of streaming AI output so users can read, trust, and act on it in real time.~9 min2 interactive demos
  4. Trust Recovery After FailureTrust builds slowly and breaks instantly. The failure taxonomy, immediate response patterns, systemic recovery, and the trust budget math every builder needs.~9 min2 interactive demos