How AI Is Built

#047 Architecting Information for Search, Humans, and Artificial Intelligence

27 Mar 2025

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Today on How AI Is Built, Nicolay Gerold sits down with Jorge Arango, an expert in information architecture. Jorge emphasizes that aligning systems with users' mental models is more important than optimizing backend logic alone. He shares a clear framework with four practical steps:Key Points:Information architecture should bridge user mental models with system data modelsInformation's purpose is to help people make better choices and act more skillfullyWell-designed systems create learnable (not just "intuitive") interfacesContext and domain boundaries significantly impact user understandingProgressive disclosure helps accommodate users with varying expertise levelsChapters00:00 Introduction to Backend Systems00:36 Guest Introduction: Jorge Arango01:12 Podcast Dynamics and Guest Experiences01:53 Timeless Principles in Technology02:08 Interesting Conversations and Learnings04:04 Physical vs. Digital Organization04:21 Smart Defaults and System Maintenance07:20 Data Models and Conceptual Structures08:53 Designing User-Centric Systems10:20 Challenges in Information Systems10:35 Understanding Information and Choices15:49 Clarity and Context in Design26:36 Progressive Disclosure and User Research37:05 The Role of Large Language Models54:59 Future Directions and New Series (MLOps)Information Architecture FundamentalsWhat Is Information?Information helps people make better choices to act more skillfullyExample: "No dog pooping" signs help predict consequences of actionsPoor information systems fail to provide relevant guidance for users' needsMental Models vs. Data ModelsSystems have underlying conceptual structures that should reflect user mental modelsData models make these conceptual models "normative" in the infrastructureDesigners serve as translators between user needs and technical implementationGoal: Users should think "the person who designed this really gets me"Design Strategies for Complex SystemsProgressive DisclosurePresent simple interfaces by default with clear paths to advanced functionalityExample: HyperCard - visual interface for beginners with programming layer for expertsAllows both novice and expert users to use the same system effectivelyContext Setting and Domain BoundariesAll interactions happen within a context that influences understandingWords acquire different meanings in different contexts (e.g., "save" in computing vs. banking)Clearer domain boundaries make information architecture design easierHardest systems to design: those serving many purposes for diverse audiencesConceptual Modeling (Underrated Practice)Should precede UI sketching but often skipped by designersDefines concepts needed in the system and their relationshipsCreates more cohesive and coherent systems, especially for complex projectsMore valuable than sitemaps, which imply rigid hierarchiesLLMs and Information ArchitectureCurrent and Future ApplicationsTransforming search experiences (e.g., Perplexity providing answers vs. link lists)Improving intent parsing in traditional searchHelping information architects with content analysis and navigation structure designEnabling faster, better analysis of large content repositoriesImplementation AdviceFor Engineers and DesignersDesigners should understand how systems are built (materials of construction)Engineers benefit from understanding user perspectives and mental modelsBoth disciplines have much to teach each otherFor Complex ApplicationsMap conceptual models before writing codeTest naming with real usersImplement progressive disclosure with good defaultsRemember: "If the user can't find it, it doesn't exist"Notable Quotes:"People only understand things relative to things they already understand." - Richard Saul Wurman"The hardest systems to design are the ones that are meant to do a lot of things for a lot of different people." - Jorge Arango"Very few things are intuitive. There's a long running joke in the industry that the only intuitive interface for humans is the nipple. Everything else is learned." - Jorge ArangoJorge ArangoLinkedInWebsiteX (Twitter)Nicolay Gerold:⁠LinkedIn⁠⁠X (Twitter)

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13:00H | 21 DIC 2025 | Fin de Semana

01 Jan 1970

Fin de Semana

10:00H | 21 DIC 2025 | Fin de Semana

01 Jan 1970

Fin de Semana

12:00H | 20 DIC 2025 | Fin de Semana

01 Jan 1970

Fin de Semana

2ª PARTE | 06 ENE 2026 | EL PARTIDAZO DE COPE

01 Jan 1970

El Partidazo de COPE

3ª PARTE | 22 ENE 2026 | EL PARTIDAZO DE COPE

01 Jan 1970

El Partidazo de COPE

3ª PARTE | 04 MAR 2026 | EL PARTIDAZO DE COPE

01 Jan 1970

El Partidazo de COPE

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How AI Is Built

#047 Architecting Information for Search, Humans, and Artificial Intelligence

This episode hasn't been transcribed yet

Other recent transcribed episodes

13:00H | 21 DIC 2025 | Fin de Semana

10:00H | 21 DIC 2025 | Fin de Semana

12:00H | 20 DIC 2025 | Fin de Semana

2ª PARTE | 06 ENE 2026 | EL PARTIDAZO DE COPE

3ª PARTE | 22 ENE 2026 | EL PARTIDAZO DE COPE

3ª PARTE | 04 MAR 2026 | EL PARTIDAZO DE COPE

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