Interior DesignHer
Episode #44 - Season 3, Episode 8 Format: Solo DTC Runtime: ~26 minutes Episode Overview: Most interior designers who feel underwhelmed by AI aren't doing it wrong — they're skipping three of the four layers that determine whether AI gives a specific, useful answer or a generic one built for a fictional designer avatar. Doug breaks down all four layers (Specification, Intent, Context, and Prompting) from least to most important and demonstrates the framework through two real AI sessions — one focused on AI image generation for a concept render, one on Instagram strategy for a kitchen and bath specialist who had 7,000 followers and almost zero client inquiries from the platform. Chapter Timestamps: 00:00 — The difficult client email problem: what AI was supposed to fix 00:41 — What "fine" actually means when AI helps you draft something 01:17 — The BlackBerry moment: why designers go quiet about AI 02:00 — The gap between what you were promised and what you got is real 02:40 — Why AI fails: the interior design client analogy 03:30 — "It knows just about everything, but it doesn't know you" 04:10 — The four layers, from least to most important 04:29 — Why prompt engineering is the icing, not the cake 05:08 — Layer 3: Context — what AI needs to know about your specific world 05:44 — Layer 2: Intent — the difference between a task and an outcome 06:21 — Layer 1: Specification — what "done" actually looks like 07:26 — Why going back and forth with AI is slow and starts from scratch each time 08:19 — Case study 1: Sarah and the AI image generation problem 10:26 — Three gaps Doug identified in Sarah's approach 13:35 — What happened when Sarah addressed all four layers 14:11 — Case study 2: The Toronto kitchen and bath designer on Instagram 15:08 — Introducing AI Sherpa and how it works differently 16:35 — What regular Claude gave her vs. what AI Sherpa asked instead 19:46 — What AI Sherpa actually surfaced: the intent gap 21:09 — The context gap: why beautiful photos aren't enough for luxury clients 22:00 — "Her feed was showing the destination. The journey is what clients are buying." 22:44 — The caption Claude built once it had everything it needed 23:39 — The specification gap: one caption vs. a system that works every time 24:47 — Why Doug built AI Sherpa and what it actually does 25:36 — Waitlist for AI Sherpa https://robbandco.myflodesk.com/aisherpa [https://robbandco.myflodesk.com/aisherpa]
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