Interior DesignHer

Episode: #48 (S03E12 for Apple) Format: Solo DTC Runtime: ~24:10 (CONFIRM — see note below; final subtitle line starts at 24:00.2, original runtime field of 25:05 does not match this transcript)Episode Overview:Most interior designers have tried AI, gotten underwhelming results, and quietly assumed the problem is their own prompting skill. It isn't. In this episode, Doug maps the actual landscape of AI help available to interior designers right now — six distinct categories ranging from software upgrades you may already own to fully custom AI systems built for your firm. Real companies, real people, real prices, and an honest breakdown of where Doug's own tools fit into that landscape (categories 5 and 6) alongside everyone else's.Chapter Timestamps:00:00 — Cold open / new Veed intro00:56 — The seminar that turned into a 2.5-hour Q&A01:33 — Why "get better at prompting" is bad advice02:59 — The six categories, introduced03:21 — Category 1: Software you're already paying for04:12 — Category 2: Prompt libraries and content tools06:40 — Category 3: AI education — courses, certificates, communities09:42 — Category 4: Done-with-you AI consultants12:38 — Category 5: Done-for-you AI consultants14:46 — Category 6: Training AI to work better for you18:33 — Doug's own tools: AI Sherpa, Marketing Advisory Board, Ideal Client tool, SOP builder20:45 — The seminar realization that started this video21:30 — Five things every designer needs to know about AI right now23:20 — Find your community, ask your questions23:44 — Outro and where to find moreResources & People Mentioned Category 1 — Software You May Already Own Houzz Pro — https://pro.houzz.com/ Studio Designer — https://www.studiodesigner.com/ Programa — https://programa.design/ Category 2 — Prompt Libraries & Content Tools Fenestra — https://www.fenestra.app/ The Little Design Corner (Dr. Claire Leroy) — https://thelittledesigncorner.com/ Decor8 - https://www.decor8.ai/ Meltflex — https://www.meltflexai.com/ Etsy — https://www.etsy.com/market/design_interior_prompts Category 3 — AI Education (Courses, Certificates, Communities) Stacy Thorwart, The Intelligent Designer - https://www.theintelligentdesigner.ai/ Jenna Gaidusek, AI4 Interior Designers — https://aiforinteriordesigners.com/ Dixie Willard, Poised and Plum — https://poisedandplumb.com/ Julia Reinert — https://www.thelifestylehistorian.com/about Leslie Swink — https://www.swinksocialco.com/ Rhiannon Lee, Studio Build — https://www.rhiannon-lee.com/studio-build-v2/ Category 4 — Done-With-You AI Consultants Jessica Nelson, AI for Interiors - https://aiforinteriors.com/ Jenna Gaidusek (1:1 consulting) — see above Rhiannon Lee (team workshops) — see above Doug Robb, 1:1 AI coaching for interior designers — https://www.interiordesignher.com/ Category 5 — Done-For-You AI Consultants Jessica Nelson, AI for Interiors — see above Rhiannon Lee, Studio Build — see above Category 6 — Training AI to Work Better for You AI Sherpa — [https://www.interiordesignher.com/ai-sherpa Marketing Advisory Board — https://www.interiordesignher.com/marketing-advisory-board-interior-designers Ideal Client tool — https://douglasrobb.gumroad.com/l/find-your-ideal-client SOP Builder (in development) — https://www.interiordesignher.com/stop-being-the-bottleneck-in-you-interior-design-business

Episode #46 — AI Knows Who YOU Are. It Just Won't Recommend You. Solo DTC | Interior DesignHer Podcast | S03E10Episode OverviewAI is already influencing which interior designers get hired. Homeowners are asking ChatGPT and Perplexity for designer recommendations before they call anyone — and the designers showing up aren't necessarily the best ones in the city. They're the ones AI can confidently define.This episode breaks down AEO — Answer Engine Optimisation — and the four-layer framework that determines whether AI recommends you or skips you. Most of the advice circulating about AEO focuses on content tactics (Layer 4). This episode starts at Layer 1 and explains why that sequence matters.Using Nicole Robb of Robb & Company (www.robbandcompany.com) as a live case study, Doug runs a real incognito Perplexity search and shows exactly what AI knows about a designer — and what it won't surface without a name attached.Chapter Timestamps00:00 — Cold open: AI isn't destroying designers (and why the fear narrative is wrong)00:37 — The two ways AI is already affecting your business right now01:05 — Homeowners are researching designers via ChatGPT before they call01:41 — AI is in the room with your current clients too02:53 — The opportunity in early-stage AI adoption03:10 — Introduction to AEO (Answer Engine Optimisation)03:26 — How GEO and AEO differ — and why most experts are only covering part of the picture04:07 — The four layers of AEO overview04:23 — Layer 1: Specification — what AI needs to define you precisely05:28 — Layer 2: Intent — the query your ideal client is actually running05:47 — What her fears are shaping before she types anything07:04 — Layer 3: Context — what AI assembles from your entire online presence08:10 — Layer 4: Content tactics (GEO) — why this comes last, not first09:04 — Live demo setup: Nicole Robb / Robb & Company case study09:46 — The incognito vs. logged-in warning — why you're getting glazed10:37 — Incognito Perplexity search: hiring query, Toronto, high-end renovation11:03 — Result: four designers appear. Nicole isn't one of them.11:48 — Second query: Perplexity describes Nicole when given her name12:04 — The gap: AI knows her. It just didn't think of her.13:35 — Run your own incognito AEO test right now14:33 — Three paths forward: DIY, hire an expert, or wait for Doug's tools14:49 — Path 1: The DIY approach across all four layers16:05 — Path 2: How to find an actual AEO expert (and avoid fake ones)17:12 — Path 3: AEO Setup Tool and AEO Maintenance Tool in development19:21 — Guinea pig waitlist — link in show notes19:38 — What will and won't change as AI search evolves20:27 — Designers who get this right today are positioned for whatever comes next21:01 — Upcoming podcast episode: SEO/AEO specialist in the design spaceResources & LinksRun your own AEO test: Open an incognito browser window → go to Perplexity → use as a guest → type the query your ideal client would use to find a designer in your city → see who appearsUse a VPN if possibleAI Sherpa Tool: Doug's existing AI tool for interior designersAEO AI Tool waitlist: [LINK PLACEHOLDER] — guinea pig spots for early access

Season 3, Episode 9 (Episode #45)Episode Overview: Sonia Barney is an Idaho-based residential interior designer specialising in kitchen and bath design, space planning, and residential and commercial remodels. She is also the founder of Kaivari — a private online platform built to connect interior designers with vetted business coaches, service providers, and peer cohorts.Sonia built Kaivari because she kept running into the same problem: designers (including herself) were spending significant money on coaching without the tools to know if the coach was the right fit for their current stage of business. The result was a lot of expensive trial and error — and a lot of designers who gave up on coaching entirely after a frustrating first experience.Kaivari solves this with three primary offerings: a vetted directory of coaches and resource partners (all personally interviewed by Sonia), a Coach Connection service (a structured process where Sonia conducts a clarity call with each designer and matches them with coaches specific to their current business challenges), and peer cohort groups where designers not in the same market can share openly.Chapter Timestamps:0:00 — Cold open + intro (Sonia's "team sport" quote + Doug's introduction)1:06 — Interview begins: Sonia's story of starting her design business part-time in 20152:28 — The 2019 pivot: deciding to treat the business like a real business3:17 — A story Doug has heard 50+ times: why this is every designer's journey4:26 — Permission to have seasons: balancing business and family without guilt6:18 — What she tried first: figuring it out alone in Idaho, Googling in a basement7:23 — Sonia's design specialty: kitchen and bath, space planning, the "nerd" side of design8:14 — The origin of Kaivari: the shared problem of expensive coaching mismatches11:13 — How designers currently find coaches (podcasts, Instagram, events) and why it's a gamble12:13 — Sonia's first coach: the one who made her cry, and what it taught her about fit14:48 — The vetting standard: why coaches on Kaivari must understand creatives and female-dominated businesses16:47 — What Kaivari actually includes: coaches, service providers / resource partners, peer cohorts19:10 — How coaches join: the questionnaire, interview, and client feedback process22:29 — The yearly Coach Connection call: why the right support changes as your business grows23:05 — Kaivari as the middleperson: transitioning between coaches as your business grows24:24 — Don't be a serial coach hirer: when to stop hiring and start implementing27:07 — The diagnosis gap: why "I need to make more money" is a symptom, not a problem29:12 — What the Coach Connection delivers: the bird's-eye-view summary sheet31:17 — How to interview a coach like you're hiring a team member32:45 — Questions to ask before you hire: Sonia's free resource at kaivari.com34:02 — The one-week access story: the assumption that cost a designer real money35:09 — Fit vs. expertise: the coach who made Sonia cry wasn't a bad coach36:28 — Inside the platform: private cohort groups, free seminars, resource library, community chat40:04 — The Facebook group problem: urgent questions ignored, trivial ones get 18 responses42:24 — Clarity before commitment: how to spend $5,000 wisely on business support45:24 — Why Sonia is still a practicing designer: staying on the pulse of real industry challenges47:57 — Kaivari as a research tool: designers identifying business trends in real time49:07 — What success actually looks like: money, balance, confidence, and joy in the work50:32 — Interior design is a team sport: the vision for what's possible51:08 — Sonia's closing message: no more trial and error, no more throwing darts51:59 — Pre-sale details and founding member pricing 54:01 — Doug's outroResources Mentioned:Kaivari website: kaivari.comFree coach hiring questions resource: available at kaivari.com [confirm exact URL with Sonia before publishing][TIMING: UPDATE IF POST-LAUNCH] Pre-sale / founding member pricing mentioned — verify current status before publishingGuest Contact:Website: kaivari.comhttps://www.instagram.com/kaivarico/https://www.instagram.com/soniabarneydesign/

Episode #44 - Season 3, Episode 8Format: Solo DTC Runtime: ~26 minutesEpisode 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 fix00:41 — What "fine" actually means when AI helps you draft something01:17 — The BlackBerry moment: why designers go quiet about AI02:00 — The gap between what you were promised and what you got is real02:40 — Why AI fails: the interior design client analogy03:30 — "It knows just about everything, but it doesn't know you"04:10 — The four layers, from least to most important04:29 — Why prompt engineering is the icing, not the cake05:08 — Layer 3: Context — what AI needs to know about your specific world05:44 — Layer 2: Intent — the difference between a task and an outcome06:21 — Layer 1: Specification — what "done" actually looks like07:26 — Why going back and forth with AI is slow and starts from scratch each time08:19 — Case study 1: Sarah and the AI image generation problem10:26 — Three gaps Doug identified in Sarah's approach13:35 — What happened when Sarah addressed all four layers14:11 — Case study 2: The Toronto kitchen and bath designer on Instagram15:08 — Introducing AI Sherpa and how it works differently16:35 — What regular Claude gave her vs. what AI Sherpa asked instead19:46 — What AI Sherpa actually surfaced: the intent gap21:09 — The context gap: why beautiful photos aren't enough for luxury clients22:00 — "Her feed was showing the destination. The journey is what clients are buying."22:44 — The caption Claude built once it had everything it needed23:39 — The specification gap: one caption vs. a system that works every time24:47 — Why Doug built AI Sherpa and what it actually does25:36 — Waitlist for AI Sherpahttps://robbandco.myflodesk.com/aisherpa

Season 3, Episode 7 (Episode #43)Solo episode. No guest. Doug introduces a three-layer framework for AI output quality — Intent, Context, and Prompt Engineering — and explains why most designers are over-investing in the least important layer. Uses two fictional designer archetypes to illustrate both ends of the experience spectrum. Introduces his Socratic AI tools as the solution to the context extraction problem that the framework alone doesn't solve.Chapter Timestamps[00:00] Why your AI results are "fine but not good enough"[00:41] Meet Maya — the tech-comfortable designer still getting mediocre results[03:40] The three layers that determine AI output quality[04:05] Layer 1: Prompt engineering — and why it's the least important[05:23] Layer 2: Context engineering — what AI doesn't know about you[06:13] The junior designer analogy[07:29] Layer 3: Intent engineering — outcome vs. task[08:43] How the three layers work together (the hierarchy)[09:02] The outreach email example — generic vs. intentional[11:12] Meet Carol — 22-year veteran who set AI aside[13:16] Why experienced designers can't manually transfer expertise to AI[13:33] Doug's Socratic AI tools — drawing context out through questions[14:46] Carol's breakthrough: 22 years of expertise finally articulated[18:14] What's coming next + how to work with DougMore videos on intent and context engineering: coming soon