AI usually fails to save time for one simple reason: the bottleneck is not the model, it is the workflow around it. In this episode, we break down the most common blockers, like unclear prompts, messy source material, too many tools, review overhead, trust issues, and missing definitions of done. We also show you how to diagnose the friction point, redesign the workflow, and measure real time savings on repeatable work.

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AI Isn’t Saving You Time Yet: Diagnose the Workflow Blockers First (TPS632)

Cheat Sheet

  • 🎧 Top 3 Productivity Resources [2:41]
  • 💡 The unglamorous task that finally made AI click [6:16]
  • 🐀 The three-letter test for what you should hand to AI [13:00]
  • 🌐 The capability most people never realize their AI already has [19:00]
  • 🔎 What OpenAI told Thanh every power user has in common [21:46]
  • 💸 The question that reframes a $200 a month AI bill [25:42]
  • ❓ The follow-up question that surfaces what the AI left out [33:15]
  • 🪤 Slop grenades, wrong maps, and why the review step still matters [40:20]

Links

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