Interior DesignHer

Season 3, Episode 13 (Episode #49)

LuAnn Nigara, host of A Well-Designed Business, fed her AI her books, podcast transcripts and her thinking on pricing, sales and leadership. It got more helpful, but it still didn’t quite think like her. This episode picks up where her experiment left off. A solo residential designer from Burlington, Ontario asks AI to define her ideal client three ways. Generic AI produces a polished profile which would fit almost any designer in the region. AI loaded with her files gets more precise but points her toward the one big job which ate her time and her margin. An AI built to ask questions finds her real client, and the contractor already sending them to her.

0:00 Let’s face facts about AI
0:40 LuAnn Nigara’s AI library
1:13 What’s an “AI second brain”?
3:26 What the AI marketers promise
4:23 The 3 things AI needs to give you good advice
5:44 What great coaches do: their knowledge + your context
7:12 Why I got into AI
8:21 The test: who is your ideal client?
9:17 Scenario 1: generic AI with a good prompt
13:16 Scenario 2: AI with a library (what LuAnn did)
17:40 Scenario 3: AI built to ask questions
24:10 What we learned
25:52 Where great coaches like LuAnn come in

Mentioned in this episode:
LuAnn Nigara, A Well-Designed Business, episode 1232: What Would Lu Do: AI Gave You the Right Answer, but You Asked the Wrong Question
Business coaches Gail Doby and Kimberley Seldon
The Ideal Client Avatar Coach: interiordesignher.com
Watch on YouTube: youtu.be/N1OnJ653vCo

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 intro

00:56 — The seminar that turned into a 2.5-hour Q&A

01:33 — Why "get better at prompting" is bad advice

02:59 — The six categories, introduced

03:21 — Category 1: Software you're already paying for

04:12 — Category 2: Prompt libraries and content tools

06:40 — Category 3: AI education — courses, certificates, communities

09:42 — Category 4: Done-with-you AI consultants

12:38 — Category 5: Done-for-you AI consultants

14:46 — Category 6: Training AI to work better for you

18:33 — Doug's own tools: AI Sherpa, Marketing Advisory Board, Ideal Client tool, SOP builder

20:45 — The seminar realization that started this video

21:30 — Five things every designer needs to know about AI right now

23:20 — Find your community, ask your questions

23:44 — Outro and where to find more

Resources & 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 | S03E10

Episode Overview

AI 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 Timestamps

00:00 — 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 now

01:05 — Homeowners are researching designers via ChatGPT before they call

01:41 — AI is in the room with your current clients too

02:53 — The opportunity in early-stage AI adoption

03:10 — Introduction to AEO (Answer Engine Optimisation)

03:26 — How GEO and AEO differ — and why most experts are only covering part of the picture

04:07 — The four layers of AEO overview

04:23 — Layer 1: Specification — what AI needs to define you precisely

05:28 — Layer 2: Intent — the query your ideal client is actually running

05:47 — What her fears are shaping before she types anything

07:04 — Layer 3: Context — what AI assembles from your entire online presence

08:10 — Layer 4: Content tactics (GEO) — why this comes last, not first

09:04 — Live demo setup: Nicole Robb / Robb & Company case study

09:46 — The incognito vs. logged-in warning — why you're getting glazed

10:37 — Incognito Perplexity search: hiring query, Toronto, high-end renovation

11:03 — Result: four designers appear. Nicole isn't one of them.

11:48 — Second query: Perplexity describes Nicole when given her name

12:04 — The gap: AI knows her. It just didn't think of her.

13:35 — Run your own incognito AEO test right now

14:33 — Three paths forward: DIY, hire an expert, or wait for Doug's tools

14:49 — Path 1: The DIY approach across all four layers

16:05 — 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 development

19:21 — Guinea pig waitlist — link in show notes

19:38 — What will and won't change as AI search evolves

20:27 — Designers who get this right today are positioned for whatever comes next

21:01 — Upcoming podcast episode: SEO/AEO specialist in the design space

Resources & Links

Run 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 appears

Use a VPN if possible

AI Sherpa Tool: Doug's existing AI tool for interior designers

AEO 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 2015

2:28 — The 2019 pivot: deciding to treat the business like a real business

3:17 — A story Doug has heard 50+ times: why this is every designer's journey

4:26 — Permission to have seasons: balancing business and family without guilt

6:18 — What she tried first: figuring it out alone in Idaho, Googling in a basement

7:23 — Sonia's design specialty: kitchen and bath, space planning, the "nerd" side of design

8:14 — The origin of Kaivari: the shared problem of expensive coaching mismatches

11:13 — How designers currently find coaches (podcasts, Instagram, events) and why it's a gamble

12:13 — Sonia's first coach: the one who made her cry, and what it taught her about fit

14:48 — The vetting standard: why coaches on Kaivari must understand creatives and female-dominated businesses

16:47 — What Kaivari actually includes: coaches, service providers / resource partners, peer cohorts

19:10 — How coaches join: the questionnaire, interview, and client feedback process

22:29 — The yearly Coach Connection call: why the right support changes as your business grows

23:05 — Kaivari as the middleperson: transitioning between coaches as your business grows

24:24 — Don't be a serial coach hirer: when to stop hiring and start implementing

27:07 — The diagnosis gap: why "I need to make more money" is a symptom, not a problem

29:12 — What the Coach Connection delivers: the bird's-eye-view summary sheet

31:17 — How to interview a coach like you're hiring a team member

32:45 — Questions to ask before you hire: Sonia's free resource at kaivari.com

34:02 — The one-week access story: the assumption that cost a designer real money

35:09 — Fit vs. expertise: the coach who made Sonia cry wasn't a bad coach

36:28 — Inside the platform: private cohort groups, free seminars, resource library, community chat

40:04 — The Facebook group problem: urgent questions ignored, trivial ones get 18 responses

42:24 — Clarity before commitment: how to spend $5,000 wisely on business support

45:24 — Why Sonia is still a practicing designer: staying on the pulse of real industry challenges

47:57 — Kaivari as a research tool: designers identifying business trends in real time

49:07 — What success actually looks like: money, balance, confidence, and joy in the work

50:32 — Interior design is a team sport: the vision for what's possible

51:08 — Sonia's closing message: no more trial and error, no more throwing darts

51:59 — Pre-sale details and founding member pricing

54:01 — Doug's outro

Resources Mentioned:

Kaivari website: kaivari.com

Free 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 publishing

Guest Contact:

Website: kaivari.com

https://www.instagram.com/kaivarico/

https://www.instagram.com/soniabarneydesign/

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

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 Doug

More videos on intent and context engineering: coming soon

Season 3, Episode 6 (Episode #42)

Marsha Sefcik brings corporate operations expertise to interior designers who excel at design but struggle with business structure. In this conversation, she diagnoses why talented designers often earn far less than they're worth - not due to lack of design skill, but because business chaos prevents them from seeing where time and money disappear. Marsha explains her personalized coaching approach that rejects cookie-cutter systems, why she refuses to make "6-figure guarantee" promises, and how her "Bring Calm to Chaos" program helps designers audit their businesses to identify what she calls "chaos leaks."

Key Topics Covered:

[00:22:17] Marsha's Journey from Corporate to Design Consulting

Transition from corporate sales/marketing to interior design

Discovering MyDomaine platform and supporting designers

Recognizing pattern of overwhelmed solo designers lacking business operations

[00:28:01] Why Designers Earn Less Than Their Worth

People-pleasing tendencies and underpricing patterns

How low compensation leads to burnout and resentment

The importance of client qualification processes

[00:30:20] The "Bring Calm to Chaos" Program Philosophy

Personalized mentorship vs. one-size-fits-all systems

90-day program focused on business audit

No grandiose financial promises - focus on feeling better about business

[00:40:25] Establishing Boundaries and Managing Expectations

Setting communication boundaries with clients

Importance of detailed welcome packets

Proactive communication to prevent client anxiety

[00:46:36] Project Qualification and Pricing Strategy

Creating qualification processes for ideal clients

Walking away from projects that don't align

Understanding your capacity and profitability needs

[00:56:55] Client Trust and the Personal Nature of Design

Acknowledging the vulnerability of welcoming designers into homes

Design as luxury, personal service requiring trust

[00:58:28] Finishing Strong: The Offboarding Process

Why project endings determine referrals and repeat business

Creating story and connection vs. transactional relationships

Making memorable final impressions

[01:01:22] Learning from Mistakes and Maintaining Relationships

Custom window seat fabrication error story

Proactive SOP audits after mistakes

Solution-oriented approach vs. blame

[01:08:11] AI and Technology Integration in Design

Embracing technology for backend efficiency

Being transparent with clients about AI use

AI limitations in physical design execution

[01:13:23] Digitizing Operations with Client Portals

Eliminating email chaos through centralized systems

Client access to project details, statements, renders

Streamlined onboarding with integrated proposals and invoicing

[01:17:05] Time Tracking as Business Audit Foundation

Tracking time regardless of billing method

Identifying "chaos leaks" where money disappears

Hybrid billing: flat fee for controllable variables, hourly for unpredictable stages

[01:19:35] There's More Than One Way to Build a Design Business

Autonomy and flexibility in business structure

Success looks different for everyone

Customized approach based on designer's season of life

[01:22:05] Working with Marsha

Complimentary discovery call to ensure good fit

One-on-one personalized program structure

Weekly newsletter with tips and resources

Resources Mentioned:

Marsha Sefcik's website: marshasefcik.com

Instagram: @marshasefcik (DMs welcome)

Weekly newsletter: 3 tips + 2 resources every Friday

"Bring Calm to Chaos" 90-day program

Guest Background:

Marsha Sefcik transitioned from corporate sales and marketing to interior design and eventually business consulting after recognizing the gap between design talent and business operations. She specializes in working with designers who want to build profitable, sustainable businesses without rigid systems or hustle culture. Her approach emphasizes personalized mentorship, business audits to identify inefficiencies, and creating structure that allows designers to show up how they want while remaining profitable.

Season 3, Episode 5 (Episode #41)

Far too many interior designers either avoid art entirely or let clients make expensive mistakes that undermine years of design work. Sarah Hurt built Seattle Art Source specifically to solve this problem for residential interior designers nationwide.

What You'll Learn:

Why art is the finishing layer that distinguishes luxury design practices from basic decorating services

How art sourcing specialists work with designers at any stage of a project (from initial concept to final installation)

The truth about designer discounts, markup strategies, and how public pricing eliminates client friction

Sarah's "bulletproof" commission process that prevents the expensive mistakes designers encounter when sourcing art independently

Why lighting considerations make early art integration critical for new construction projects

How art creates natural touchpoints for staying connected with past clients and generating repeat revenue

The difference between being art-fluent and being an art expert (and why designers don't need to be both)

Key Timestamps:

[00:43] Sarah's origin story: Creating Seattle Art Source to lower the barrier to art access

[02:13] How art sourcing works for interior designers (the designer's perspective)

[07:39] What designers are missing by not including art in their service offering

[08:32] Why art is like having a marble specialist in your back pocket

[12:04] The repeat business opportunity: Art evolves faster than furniture

[17:04] The expertise gap: Why being artistic doesn't make you an art expert

[18:41] The client disaster scenario: When homeowners pick art independently

[21:23] Financial benefits: Designer discounts and billing flexibility

[24:10] Why public pricing eliminates awkward discount conversations

[25:06] Expensive mistakes: Why art can't be returned and how to prevent buyer's remorse

[27:40] Lighting considerations: Why art specialists need to be involved early

[30:40] Different designer working styles: Using art specialists as a store vs. consultant

[32:20] Geographic flexibility: Working with designers nationwide

[34:26] Lowering the intimidation barrier: Art doesn't have to be rarefied or expensive

Resources Mentioned:

Seattle Art Source website: seattleartsource.com

Contact Sarah directly: [email protected]

Price range: Original art from hundreds to mid-range ($1,800-$2,500 average)

40 artists represented, primarily Pacific Northwest region

Available nationwide with shipping

About Sarah Hurt: Sarah Hurt founded Seattle Art Source 10 years ago (celebrating their 10th anniversary this year) after experiencing firsthand how intimidating and disorganized the art buying process felt. She built a business model specifically around servicing interior designers, offering by-appointment consultations, mockups, renderings, and designer discounts. Her approach removes the intimidation factor from art purchasing while preventing the expensive mistakes that happen when clients buy art without guidance.

Season 3, Episode 4 (Episode #40)

Human-First AI: Your Experience Should Be Better

The Problem with Generic AI: Why your current experience with tools like ChatGPT feels like "meaningless busy work".

The Productivity Edge: Real-world research showing that organizations ready for AI see a 2.4x higher productivity gain than those who resist.

Cognitive Load & Critical Thinking: How removing tedious tasks from your plate allows your brain the freedom to think deeply about your design projects.

The Digital Roundtable: A breakdown of Sam’s custom-built tool that researches and creates specific expert avatars to act as your firm's advisory board.

Change Management: Understanding the "status quo bias" and "loss aversion" that makes adopting new tech feel naturally uncomfortable for humans.

Practical Implementation: Turning site visit audio and site notes into automated employee tasks to reclaim your time.

AI Without Context Is Completely Useless: The 6-Phase Evolution

Genius without context is useless. That principle explains everything about AI in 2025.

Imagine hiring the world's smartest marketing manager. Unparalleled genius who knows everything about marketing, branding, social media, and client psychology. On day one, you tell them "update our marketing campaign." What happens? They produce generic garbage. Not because they're not smart—because genius without context is useless.

AI works exactly the same way.

The 6-Phase Context Evolution Framework:

I've identified six distinct phases in how AI companies have approached the context problem. Understanding these phases changes how you evaluate every AI tool.

Phase 1: Low Context (ChatGPT Launch, 2022-2023) When ChatGPT launched, we treated it like Google. Short questions, immediate answers. For six months, this was mind-blowing. After that? We realized the responses were surface-level and basic. Without context, AI matches generic patterns and delivers generic answers. This is when we all learned that AI without context is useless.

Phase 2: Prompt Engineering (2023)
AI experts told us the problem was our questions. We needed to become "prompt engineers." Better prompts would get better answers. For a while, prompt engineering was positioned as the career of the future. The underlying issue remained: we were trying to cram context into every single prompt. Unsustainable and inefficient.

Phase 3: Specialized Tools (2023-2024) AI companies realized they could pre-load context into specific tools. Image generators like DALL-E and Midjourney. Video generators like Sora. Website builders and app creators. These tools have context built in—you don't need to engineer prompts because the tool already understands its specific purpose. This was the first major breakthrough in solving the context problem.

Phase 4: Contextual Containers (2024) Custom GPTs from OpenAI. Claude Projects from Anthropic. Gemini Gems from Google. These tools let you load context once and have the AI reference it forever. You don't have to re-explain your business, your preferences, or your situation in every conversation. The AI remembers. This solved the "forgetting problem" and made AI dramatically more useful for ongoing work.

Phase 5: AI Agents (2024-2025) The difference between a custom GPT and an AI agent: agents take action. You ask, they do. They rely on the context you've given them, then go execute tasks. They don't just answer questions—they perform work based on contextual understanding of your needs.

Phase 6: Hold Context / Socratic AI (Emerging 2025) The future phase most AI companies aren't implementing yet because it's complicated and resource-intensive. Instead of just storing your context or waiting for you to provide it, the AI actively pulls context from you through intelligent questioning. Socratic AI asks follow-up questions to extract nuanced understanding before answering. This dramatically improves results but requires significant AI processing power.

What Every Phase Has In Common:

Look at all six phases. What do you see? Incremental improvements on context. AI companies are either:

Making it easier to provide context (custom GPTs, Claude Projects)

Pre-loading context into specialized tools (DALL-E, Sora)

Extracting context intelligently (socratic questioning systems)

OpenAI, Anthropic, and Google all realize the same thing: the gap between AI's super intelligence and your specific needs closes through better context delivery. Every evolution of AI so far has involved improving how context gets captured, stored, referenced, and utilized.

Why This Framework Matters:

Next time you use ChatGPT, Claude, or any AI tool and don't get the answer you wanted, realize the problem isn't the AI's intelligence. It's the context you gave it.

You have four options:

Get better at prompting (free, requires skill development)

Use custom GPTs and Claude Projects (costs money, much better results because context persists)

Find socratic AI tools that pull context from you (expensive, best results, limited availability)

Wait for AI companies to build better context into existing tools (they're actively working on this because they know context is the problem)

The Underlying Principle:

AI companies understand that genius without context is useless. That's why every major AI advancement focuses on solving the context problem. Understanding the six-phase evolution puts you ahead of almost everyone using AI because you can evaluate tools based on how they handle context.

When AI fails, it's almost always because it doesn't have the context it needs about your specific situation, your business, or the question you're asking. Now that you understand that, you can fix it.

Episode #39 - s03e03

Next Episode: AI sycophancy (AI glazing). Anthropic just released content about this that's worth examining critically.