Human x Intelligent

NotebookLM can do in an afternoon what used to take a research team a week, if you know how to prompt it.In this episode of Human × Intelligent, we walk through a complete 8-step AI-assisted research workflow using a real Spotify UX interview study as our working example. Eight participants, 60-minute sessions and a set of raw transcripts, turned into personas, empathy maps, Jobs to Be Done analysis, How Might We questions, an opportunity matrix and a full synthesis report.Every step includes the exact prompt to paste into NotebookLM. No vague instructions. No, just ask AI to help you. Real prompts, real frameworks, real output.What you'll learn:How to orient NotebookLM before any analysis begins (and why this matters)How to build 3 grounded user personas, including a tension map that shows where their needs conflictHow to create empathy maps per persona using actual participant languageHow to identify functional, emotional and social Jobs to Be Done and rank those that are most underservedHow to generate and prioritise How Might We questions that open up real solution spaceHow to build a feature opportunity matrix and effort vs impact quadrantHow to affinity cluster raw insights into a 3-level observation → insight → opportunity hierarchyHow to generate an executive summary, full research report and stakeholder presentation outlineAll 16 prompts are included in the show notes as a ready-to-use guide.This workflow applies to any qualitative research: user interviews, usability test notes, support tickets, survey responses. If you can put it in a document, NotebookLM can help you make sense of it.Show Notes:Full prompt guide PDFNotebookLMFollow Human × IntelligentSupport the show🎙️ Human × Intelligent - a podcast about trust, transparency and human agency in AI systems, for product designers, PMs and founders building with AI. 🔔 Subscribe so you don't miss the next episode 🌐 humanxintelligent.com Hosted by Madalena Costa · Senior product designer and AI systems strategist 

AI won’t fix your product. In many cases, it makes things worse.In this conversation, Michelle Brito explains why most companies are getting AI adoption wrong and what they should be doing instead.From her work at Volkswagen Digital Solutions, Michelle shares practical insights on designing AI-powered products that actually deliver value and not confusion.In this episode, you’ll learn:- When artificial intelligence actually makes sense in a product- Why AI is often used as a shortcut for deeper problems- The difference between AI and simple automation- How to evaluate if your workflows are ready for AI- Why user trust breaks when AI is introduced too early⚠️ The biggest mistake?Starting with the technology instead of the problem.💡 Key takeaway:AI doesn’t fix broken systems. It amplifies them.Connect with Michelle Brito:→ LinkedIn: https://www.linkedin.com/in/michelle-brito-47342554/Human × Intelligent is a podcast at the intersection of design, AI and human agency. Hosted by Madalena Costa.→   humanxintelligent.com→   https://www.linkedin.com/company/human-x-intelligent/→   https://www.instagram.com/humanxintelligent/→   https://www.instagram.com/designwithmaddie/→   https://www.linkedin.com/in/madalenafigueirasdacosta/Guest bioMichelle Brito is a Senior Product Designer at Volkswagen Digital Solutions and a mentor at Ladies that UX Lisbon, with over 15 years of experience spanning journalism, editorial design, and digital product strategy. Based in Lisbon, she currently leads design efforts for B2B search engines and researches the integration of AI-driven solutions within the automotive sector. Her background is uniquely multidisciplinary, combining a Master’s in Communication Sciences with a d.MBA and specialized training in UX/UI design. Throughout her career, which includes work for publishing houses, government agencies and marketing firms, Michelle has focused on bridging the gap between business goals and user needs through benchmarking, usability testing and visual thinking.Chapter timestamps00:00 – Why companies are asking the wrong AI question00:42 – Introduction to Michelle Brito01:15 – Is AI the right starting point?02:20 – Where companies misuse AI (simple problems, wrong solutions)03:18 – AI as a shortcut for deeper issues03:39 – Why organizations rush into AI04:44 – When AI creates confusion and distrust05:30 – How to push back on stakeholders06:14 – How to know when AI actually makes sense07:27 – Why users don’t adopt AI tools08:24 – Questions to evaluate AI vs automation08:40 – AI driven by hype vs real need09:28 – Real example: AI making simple tasks harder10:10 – Red flags in AI product decisions11:03 – Why research still matters (even if it’s “boring”)12:07 – Responsible AI in regulated environments13:28 – Who is accountable for AI decisions?14:48 – What healthy AI adoption looks like inside teams16:40 – Where to start with AI (the right way)17:21 – The most overlooked first step18:16 – Making decisions under pressure19:21 – AI requires simplification, not complexity19:53 – Practical advice to avoid AI traps21:06 – Final thoughts on AI hype vs realityConcepts to explore further:→ AI vs Automation→ AI as a multiplier (not a fixer)→ Problem-first vs technology-first thinking→ User trSupport the show🎙️ Human × Intelligent - a podcast about trust, transparency and human agency in AI systems, for product designers, PMs and founders building with AI. 🔔 Subscribe so you don't miss the next episode 🌐 humanxintelligent.com Hosted by Madalena Costa · Senior product designer and AI systems strategist 

Is your team actually using AI, or are they just playing with it?In this episode of Human X Intelligent, host Madalena Costa sits down with Kaisa Martiskainen, AI Operations lead, to uncover the hidden gap in corporate AI adoption. While usage metrics might be up, true understanding is often lagging. Kaisa explains why providing access to chatbots isn’t the same as building capability and how the 'Interface Trap' prevents organizations from seeing the real value of AI.In this episode, we explore:The missing conceptual layer: Why mental models are more important than tool proficiency.The interface trap: How limiting AI to a chatbot window narrows your strategic vision.Human learning vs. Machine speed: Why humans need friction and failure to truly 'get' AI.Predictors vs. knowers: Understanding the three foundational concepts every employee needs before their first prompt.Beyond surface level: How to transition from "interacting" with AI to 'integrating' it into your organizational DNA.If you’re a leader, manager or individual contributor feeling overwhelmed by the AI hype, this conversation will help you shift from reactive usage to intentional system thinking.Connect with Kaisa Martiskainen:→  LinkedIn: www.linkedin.com/in/kaisamartiskainen→  Substack: https://mamaknowsai.substack.comHuman × Intelligent is a podcast at the intersection of design, AI and human agency. Hosted by Madalena Costa.→   humanxintelligent.com→   https://www.linkedin.com/company/human-x-intelligent/→   https://www.instagram.com/humanxintelligent/→   https://www.instagram.com/designwithmaddie/→   https://www.linkedin.com/in/madalenafigueirasdacosta/Guest bioKaisa works at the intersection of technology and human understanding. She helps organizations and individuals understand how to work with artificial intelligence in practical, thoughtful ways, focusing not just on tools, but on how technology changes the way people think, learn and make decisionsChapter timestamps00:00 – Use vs. Understand01:09 – Real AI Adoption02:49 – AI Mental Models04:29 – The Metrics Myth05:35 – How Humans Learn AI07:21 – 3 Rules of Prompting10:06 – The Interface Trap12:38 – Access ≠ Capability15:47 – AI as a Collaborator17:28 – The Teaching Problem19:54 – A Learning Challenge21:43 – The "Ideal" AI Org24:32 – The Best Investment25:49 – Where to Learn More26:57 – Final TakeawaysConcepts to explore further:→ AI vs Automation→ AI as a multiplier (not a fixer)→ Problem-first vs technology-first thinking→ User trust in AI systems→ AI readiness (data, workflows, goals)👉 Subscribe for more conversations on AI, product design and human-centered technology.Support the show🎙️ Human × Intelligent - a podcast about trust, transparency and human agency in AI systems, for product designers, PMs and founders building with AI. 🔔 Subscribe so you don't miss the next episode 🌐 humanxintelligent.com Hosted by Madalena Costa · Senior product designer and AI systems strategist 

What does it mean to truly anticipate a user and not just what they'll click next...but what they're trying to become?In Episode 19 of Human × Intelligent, Madalena Costa is joined by Joana Cerejo, design lead, AI product designer and author of the Anticipatory Design Playbook. Together, they explore the real depth of anticipatory design, how behavioral science fits into modern AI product work and why most systems fail not because of bad technology but because of a fundamental misunderstanding of human intent.In this episode:- The three layers of anticipation: needs, behavior and outcomes- Why designing for agency can't be an afterthought- Behavioral science frameworks every AI designer should know- The filter bubble problem and collective manipulation- What the Nest Thermostat gets wrong about resilient design- Why transparency is the foundation of everythingConnect with Joana Cerejo:→ LinkedIn: https://www.linkedin.com/in/jcerejo/→ Website: https://jcerejo.com/→ The Anticipatory Design Playbook (Amazon): https://www.amazon.es/-/pt/dp/1041079109→ Watch Why Personas Fail AI (And What Works): https://www.youtube.com/watch?v=_7dSuJB6M1o&t=897sHuman × Intelligent is a podcast at the intersection of design, AI and human agency. Hosted by Madalena Costa.→ humanxintelligent.com→ https://www.instagram.com/humanxintelligent/→ https://www.linkedin.com/company/human-x-intelligent/→ https://www.instagram.com/designwithmaddie/→ https://www.linkedin.com/in/madalenafigueirasdacosta/Guest bioJoana Cerejo is a design lead and AI product designer working at the intersection of user experience, behavioral science, and intelligent systems. With nearly a decade of experience designing AI-powered products across fintech, e-learning, and manufacturing, she specializes in making systems that are human-centered, trustworthy, and ethically grounded. She is the author of the Anticipatory Design Playbook, exploring how AI can move beyond predicting behavior to genuinely supporting people in meaningful, long-term ways.Resources & tools sectionFrameworks mentioned in this episode:→ Prochaska Transtheoretical Model - stages of behavioral change; helps design systems that meet users where they actually are→ Fogg Behavior Model - behavior happens when motivation, ability, and prompt align at the same time→ Nudge Theory - the right intervention at the right moment can make or break a serviceBook:The Anticipatory Design Playbook by Joana Cerejo - available on AmazonConcepts to explore further:→ Filter bubble effect→ Human-in-the-loop design→ Foresight/futures thinking methodology→ AI literacy and explainabilitySupport the show🎙️ Human × Intelligent - a podcast about trust, transparency and human agency in AI systems, for product designers, PMs and founders building with AI. 🔔 Subscribe so you don't miss the next episode 🌐 humanxintelligent.com Hosted by Madalena Costa · Senior product designer and AI systems strategist 

In Part II of this conversation, Madalena Costa and Hugo Froes move from diagnosis to direction, exploring what conscious AI adoption actually looks like inside product teams, why designers may be the most underestimated players in the AI era and whether any organization should even be trying to become AI-first.Hugo Froes is Director of Product Strategy at Nagarro and former Head of Product Operations at OLX and Farfetch, with over 25 years of experience building and transforming product organizations.In this episode, you’ll learn:- Why designers may become the most valuable players in the AI era- How to redefine team structures around skill sets- Why the PM, designer and engineer trio may need to be completely rethought- The hidden danger of AI-generated code that looks production-ready but isn’t- Why LinkedIn is no longer a reliable signal of someone’s actual capability- How recommendations and trust networks are becoming the new hiring filter- What organizations should be asking instead of ‘how do we become AI-first?’- Why adding AI to a broken product just creates a more broken product, fasterKey ideas explored:- The designer’s moment: systems thinking and human empathy position designers as critical infrastructure- Team structure rethink: the future isn’t about roles, it’s about skill sets distributed differently- The trust filter: as AI floods the market with content and code, personal recommendations become the real signal- AI-aware not AI-first: the better question is always does AI reduce friction here, or add it?- The role of judgment: the hardest things to automate are the most human: taste, framing, empathy, directionChapters00:00 The Cycle of Information Quality01:47 Understanding System Functionality04:03 The Role of Designers in AI07:38 Redefining Team Structures11:04 The Future of Product Management and Design13:14 Navigating Titles and Roles in UX16:35 The Challenge of Hiring in the AI Era20:49 Should Organizations Be AI-First?LinksWebsite: humanxintelligent.comJoin the conversation: https://forms.gle/qdnd3pMnr6KBDCA1ALinkedIn: @hugofroesInstagram: @thehugofroesLinkedIn: @human-x-intelligentInstagram: @humanxintelligentLinkedIn: @madalenafigueirasdacostaInstagram: @designwithmaddie// Human x Intelligent explores how humans and AI design, build and collaborate in intelligent systems //Support the show🎙️ Human × Intelligent - a podcast about trust, transparency and human agency in AI systems, for product designers, PMs and founders building with AI. 🔔 Subscribe so you don't miss the next episode 🌐 humanxintelligent.com Hosted by Madalena Costa · Senior product designer and AI systems strategist 

Is AI fixing your company or just exposing what was already broken?Discover how AI is accelerating organizational dysfunction, reshaping product teams and redefining what it means to build consciously in this conversation with product operations leader Hugo Froes.In this episode of Human x Intelligent, Madalena Costa sits down with Hugo Froes, product operations and transformation expert formerly of OLX and Farfetch, to explore one of the most uncomfortable truths in tech right now: AI isn't creating your organization's problems. It's just making them impossible to ignore.From broken processes to bloated team structures, Hugo shares a ground-level perspective on what's actually happening inside product organizations and what feels genuinely different and dangerous about this moment.If you're a product designer, product manager, founder, or team lead navigating AI pressure from leadership, Part I will help you understand what's really going wrong and why the urgency you're feeling is part of the problem.In this episode, you'll learn:- Why AI accelerates dysfunction instead of fixing it- Why 'AI-first' is the wrong question for most organizations- The real cost of reducing product teams to a minimum- Why the pressure to adopt AI is functioning as a dark pattern- How AI is creating silos inside product teams- Why 80% of AI initiatives are failing and what they have in common- The hidden cost of AI at enterprise scale- Why conscious adoption beats fast adoption every time- Why this mattersAs AI accelerates execution, the real differentiator shifts toward:- organizational clarity- conscious decision making- depth over speed- systems thinking- human judgmentKey ideas explored:- AI as an accelerant: AI doesn't fix broken processes; it exposes them faster and at greater scale- The urgency trap: the pressure to go AI-first is itself a pattern worth scrutinizing- The cost reality: most teams have no real notion of what AI costs at enterprise scale- Quality collapse: as shipping gets easier, the percentage of truly valuable products may actually shrink- Conscious adoption: the organizations winning with AI are the ones being deliberate, not reactiveLinksWebsite: humanxintelligent.comJoin the conversation: https://forms.gle/qdnd3pMnr6KBDCA1ALinkedIn: @hugofroesInstagram: @thehugofroesLinkedIn: @human-x-intelligentInstagram: @humanxintelligentLinkedIn: @madalenafigueirasdacostaInstagram: @designwithmaddie// Human x Intelligent explores how humans and AI design, build and collaborate in intelligent systems //Subscribe for more on:- AI product design- organizational design- human-AI collaboration- future of work- agentic systems- product leadership- UX and systems thinkingSupport the show🎙️ Human × Intelligent - a podcast about trust, transparency and human agency in AI systems, for product designers, PMs and founders building with AI. 🔔 Subscribe so you don't miss the next episode 🌐 humanxintelligent.com Hosted by Madalena Costa · Senior product designer and AI systems strategist 

Cognitive debt is what happens when AI tools do your thinking instead of supporting it and the research is now proving it costs you more than you realise.In this episode of Human × Intelligent, I walk through what the science actually says about AI tools and critical thinking, share a practical framework for structuring your thinking before you open any tool and give you three concrete practices for keeping your judgment intact.MIT Media Lab's 2025 study 'Your Brain on ChatGPT' found that people who relied on AI for cognitive tasks showed up to 55% weaker brain connectivity and 83% were unable to recall what they had just produced. Harvard Business School and BCG's study of 758 knowledge workers found that using AI on the wrong type of task makes your output 19% worse and highly skilled professionals couldn't tell which tasks those were. Microsoft Research (CHI 2025) found that higher confidence in AI is directly associated with less critical thinking.This is not an argument against AI tools. It is a framework for using them without losing your judgment.What's covered in this episode: → The cognitive debt research MIT, Harvard/BCG, Microsoft and what it means for product people → The goal, problem, process→ The three thinking modes: capture, synthesise, decide and which tool belongs in each → Think first, mode check, own your conclusion: 3 daily practices for keeping your thinking sharp → Why the tools will keep changing and the process is what stays with youThe tools will change but the process is yours.Connect with Madalena: 🌐 humanxintelligent.com 📸 Instagram: @designwithmaddie📸 Instagram: @humanxintelligent 💼 linkedin.com/in/madalenafigueirasdacosta💼 linkedin.com/company/human-x-intelligentSupport the show🎙️ Human × Intelligent - a podcast about trust, transparency and human agency in AI systems, for product designers, PMs and founders building with AI. 🔔 Subscribe so you don't miss the next episode 🌐 humanxintelligent.com Hosted by Madalena Costa · Senior product designer and AI systems strategist 

Is AI redefining UX design or replacing it?In this episode of Human × Intelligent, Madalena Costa sits down with Bruno Figueiredo, founder of UXLx and one of the longest-standing voices in UX in Europe, to explore how artificial intelligence is reshaping the design field.From early web design to today’s AI-powered tools, Bruno brings a long-term perspective on technological shifts and explains why this moment feels fundamentally different. As AI accelerates tasks like coding, research synthesis and interface generation, the role of designers is starting to evolve in unexpected ways.But while AI can generate outputs faster than ever and not all parts of design are equally solvable.When we move from code to creativity, from execution to judgment and from data to human behavior, the limitations of AI become more visible.This episode explores what AI can and cannot do in UX today and what designers, researchers and product teams need to understand to work with these systems effectively.We discuss:Why AI may be the biggest shift UX has ever experiencedWhy code is easier for AI than creative designThe limits and risks of synthetic users and automated researchWhy accessibility still depends on strong design foundationsThe growing problem of AI transparency and training dataHow AI is reshaping UX roles: specialists vs generalistsWhy AI should be treated as a collaborator, not a replacementWhat junior designers should focus on to stay relevant//Human x Intelligent explores how humans and AI design, build and collaborate in intelligent systems//Support the show🎙️ Human × Intelligent - a podcast about trust, transparency and human agency in AI systems, for product designers, PMs and founders building with AI. 🔔 Subscribe so you don't miss the next episode 🌐 humanxintelligent.com Hosted by Madalena Costa · Senior product designer and AI systems strategist 

The End of the Chatbox? Designing AI interfaces that act, not just answerIn this episode of Human × Intelligent, Madalena Costa explores one of the biggest design shifts happening in AI products right now: the possible end of the chatbox as the default interface for artificial intelligence.Chat interfaces made AI accessible to millions of people. They are familiar, flexible and great for brainstorming, research, writing and exploration. But as AI systems become more agentic, able to plan, use tools, act across workflows and move work forward, the traditional chatbox starts to reveal its limitations.When AI moves from answering questions to taking actions, the design problem changes.This episode explores why chat interfaces can become inefficient inside real workflows and what product designers, UX professionals and product teams should start learning now to design more embedded, contextual and trustworthy AI experiences.We discuss:Why chat became the dominant AI interfaceWhy chat breaks in action-based workflowsThe shift from conversation interfaces to action-driven experiencesUX patterns for agentic systems: previews, rationale, progress, undo and adjustable autonomyHow designers can move from building chat interfaces to designing human-AI collaborationThe future of AI interfaces is likely not 'no UI' or invisible magic. It’s embedded intelligence that supports work directly inside the product experience.Support the show🎙️ Human × Intelligent - a podcast about trust, transparency and human agency in AI systems, for product designers, PMs and founders building with AI. 🔔 Subscribe so you don't miss the next episode 🌐 humanxintelligent.com Hosted by Madalena Costa · Senior product designer and AI systems strategist 

This episode was originally going to be about something else, but a conversation over the weekend reminded me of a workflow I use quite often when developing and designing applications.So instead, I decided to share one Human × Intelligent workflow I keep coming back to:Figma → Claude → FigmaRather than treating AI as a chatbot outside the workflow, this setup connects Claude directly to the design environment using Model Context Protocol (MCP). That means the model can analyze interfaces, reason about product systems and help accelerate design thinking.In this episode, I talk about:What changes when AI connects directly to design toolsWhy context makes AI much more useful for product designReal workflows I use: UX audits, design systems extraction, dashboard analysis and component generationThe difference between Official Figma MCP and Figma Console MCPWhat worked well, what didn’t work so well and what I’m still experimenting withWhy I think the real shift is AI becoming part of the workspaceThis is not about replacing designers, but actually, it’s about building better collaboration between human judgment and intelligent systems.If you’re exploring AI workflows for product design, design systems or complex SaaS products, this episode should give you a practical mental model for where things are heading.Example workflows mentioned in the episodeUX audit of a flow: Analyze selected screens for hierarchy, cognitive load, accessibility, spacing consistency, CTA clarity and user flow friction.Design system extraction: Analyze selected UI and identify typography scale, color tokens, spacing tokens, component patterns and layout grid.Reusable component generation: Convert layouts into base components, variants and nested structures optimized for scale.Dashboard refactoring:  Audit dashboards for information hierarchy, data density, scanning patterns, visual grouping and progressive disclosure.Retention system mapping: Map a product UI to triggers, actions, rewards, feedback loops and habit formation patterns.Setup stepsSign up for a Figma Pro seat and Claude Pro or MaxInstall NodeInstall Claude CodeCreate a Figma tokenEnable Figma Dev MCP modeConfigure the Figma MCP serverInstall Figma Console MCP locallyInstall the design systems MCP assistantInstall the Desktop Bridge pluginInstall the Figma MCP server in Claude DesktopRestart Claude DesktopRun 'check Figma status'--Links:Episode page: Madalena on LinkedIn: /madalenafigueirasdacostaSubscribe: https://substack.com/@humanxintelligent—🎙️ Human × Intelligent explores how humans and intelligent systems evolve together, across product, behavior and culture.---#AIAdoption #EnterpriseAI #HumanInTheLoop #ResponsibleAI #AIGovernance #AIWorkflows #AITrust #AILeadershipSupport the show🎙️ Human × Intelligent - a podcast about trust, transparency and human agency in AI systems, for product designers, PMs and founders building with AI. 🔔 Subscribe so you don't miss the next episode 🌐 humanxintelligent.com Hosted by Madalena Costa · Senior product designer and AI systems strategist 

'Most AI pilots don’t fail in the demo. They fail inside the workflow.'In this episode of Human × Intelligent, Madalena Costa speaks with Krystel Leal, a fractional AI deployment lead working at the intersection of enterprise AI implementation, customer success and real-world AI adoption.Krystel shares a simple signal that reveals when teams are moving too fast with AI: If no one can explain why the AI produced an output, the team doesn’t understand the guardrails, the workflow or the problem being solved.We explore what actually changes when AI starts working inside a team, where AI trust breaks and why human judgment and ownership still matter in AI-driven organizations.The conversation also breaks down one of the most common mistakes teams make today: delegating decisions to AI instead of delegating tasks.---In this episode, we explore:- What changes first when AI works in a team: behavior vs mindset - Why enterprise AI pilots often fail after the demo - The difference between delegating tasks and delegating decisions - The biggest signal that a team is moving too fast with AI - Why human-in-the-loop is an ownership problem and not a checkbox - How fear and misconceptions appear when teams start using AI daily - Why companies must become AI education systems - How human communication principles apply to AI prompting - Why 'made by humans' may become a differentiator in an AI-driven world---Key takeawayAI does not replace judgment. The most successful teams use AI as a thinking partner and not as a decision maker.---About the guestKrystel Leal is a fractional AI deployment lead who spent years working in Silicon Valley tech startups before specializing in enterprise AI implementation.She works with organizations to turn stalled AI pilots into real production systems, redesigning workflows, ownership structures and verification processes so AI adoption actually delivers value.Her core belief: Most AI investments fail not because of the technology, but because the system around them was never built.Connect with Krystel on LinkedIn.---🎙️ Human × Intelligent explores how humans and intelligent systems evolve together, across product, behavior and culture.Hosted by Madalena Costa.---Links:- Episode page: https://humanxintelligent.com/episodes/if-you-cant-explain-why-ai-output-happened-youre-moving-too-fast- Krystel on LinkedIn: https://www.linkedin.com/in/krysteleal/- Subscribe for more Human × Intelligent: https://substack.com/@humanxintelligentSupport the show🎙️ Human × Intelligent - a podcast about trust, transparency and human agency in AI systems, for product designers, PMs and founders building with AI. 🔔 Subscribe so you don't miss the next episode 🌐 humanxintelligent.com Hosted by Madalena Costa · Senior product designer and AI systems strategist 

In this episode, I’m joined by Krasi Bozhinkova to explore AI cosplay, the shift from AI as a tool to AI as a performed intelligence, where emotion, presence and perceived personhood become more persuasive than proof itself.This conversation goes beyond capability.We talk about:- The moment AI moved from a tool to performing intelligence- Why humans respond to emotional UX as if it were personhood- What signals show users are no longer interacting with a system but with someone- Why perception now competes with performance- What responsibility do product teams carry when persuasion becomes indistinguishable from intelligenceThis is not a conversation about what AI can do.It’s about what that means for the future of product design, trust and human decision-making.📤 https://owtcome.com/signal-brief-report-jan-26—🎙️ Human × Intelligent explores how humans and intelligent systems evolve together, across product, behavior and culture.—💬 Join the conversationHave something to say about AI, creativity or what it means to stay human in an intelligent world, we would love to hear from you.👉 Join the conversation: https://forms.gle/HLAczyaxqRwoe6Fs6👉 Visit the website: humanxintelligent.com👉 Connect on LinkedIn: /humanxintelligent👉 Follow on Instagram: @humanxintelligent📩 For collaboration or guest submissions: [email protected] the show🎙️ Human × Intelligent - a podcast about trust, transparency and human agency in AI systems, for product designers, PMs and founders building with AI. 🔔 Subscribe so you don't miss the next episode 🌐 humanxintelligent.com Hosted by Madalena Costa · Senior product designer and AI systems strategist 

Episode 11 (season finale) - The agentic leader: How organizational design changes when your team is a mix of humans and agentsAI is no longer just transforming products. It’s transforming organizations, leadership and professional identity.In the Season 1 finale of Human × Intelligent, Madalena introduces the concept of the agentic leader, a new model of leadership for a world where your team is no longer fully human. As organizations adopt autonomous systems, agents and AI-enabled workflows, leadership shifts from managing tasks to designing environments.In this episode, you’ll hear:The full arc of Season 1: agency, autonomy, multi-agent systems, intent, and verifiabilityThe Agentic Governance Framework and its three pillars:The Decision Boundary MatrixLegibilityReversibilityHow leadership changes across Product, Engineering, Marketing, and OperationsWhy Human × Intelligent companies are built on accountability, not automationWhat becomes more valuable as intelligence becomes a commodityThis is the most reflective episode of the season. It's a synthesis, a manifesto and a threshold.Season 2 begins at the end of the month and will feature guests and short perspectives on what it means to be a Human × Intelligent company and why it matters.🎙 If this season helped you think differently about AI, leadership and systems design, share it with someone building the future of work.---💬 Join the conversationHave something to say about AI, creativity or what it means to stay human in an intelligent world, we would love to hear from you.👉 Join the conversation: https://forms.gle/HLAczyaxqRwoe6Fs6👉 Visit the website: humanxintelligent.com👉 Connect on LinkedIn: /humanxintelligent👉 Follow on Instagram: @humanxintelligent📩 For collaboration or guest submissions: [email protected] the show🎙️ Human × Intelligent - a podcast about trust, transparency and human agency in AI systems, for product designers, PMs and founders building with AI. 🔔 Subscribe so you don't miss the next episode 🌐 humanxintelligent.com Hosted by Madalena Costa · Senior product designer and AI systems strategist 

As AI-powered products become more autonomous, intelligence is no longer the hard part. Trust is.In this episode of Human × Intelligent, Madalena explores the verifiability gap, the invisible space between:1. what AI systems do2. what users understand3. what product teams can actually observe and validate.You’ll learn:Why trust breaks before AI systems failThe 3 control layers inside every agentic product (professionals, users and AI)Why 'human-in-the-loop' should be a workflow and not an approval stepHow trust, transparency, explainability and feedback work together as system infrastructurePractical UX and product strategy patterns to retain users in autonomous systemsThis episode connects the dots between signals, personalization, retention and agency. It gives teams concrete ways to design AI systems that are fast and trustworthy.Next week: the season finale, Episode 11: The agentic leader, on how leadership and organizational design change when your team is a mix of humans and agents. Season 2 starts at the end of the month.🎙 If this episode helped you think differently about trust in AI-powered products, share it with someone building systems that act on behalf of humans.---💬 Join the conversationHave something to say about AI, creativity or what it means to stay human in an intelligent world, we would love to hear from you.👉 Join the conversation: https://forms.gle/HLAczyaxqRwoe6Fs6👉 Visit the website: humanxintelligent.com👉 Connect on LinkedIn: /humanxintelligent👉 Follow on Instagram: @humanxintelligent📩 For collaboration or guest submissions: [email protected] the show🎙️ Human × Intelligent - a podcast about trust, transparency and human agency in AI systems, for product designers, PMs and founders building with AI. 🔔 Subscribe so you don't miss the next episode 🌐 humanxintelligent.com Hosted by Madalena Costa · Senior product designer and AI systems strategist 

AI systems no longer just respond. They plan, decide and act and often without asking.In this episode of Human × Intelligent, we explore a critical question for the age of agentic AI: How do humans stay in control once systems can act on our behalf?The answer isn’t more prompts, smarter models or bigger Dashboards. It’s the interface of intent, the layer that makes autonomy understandable, predictable and governable.In this episode, we cover:Why do prompts stop working once systems become autonomousThe difference between instructions and delegationWhy Dashboards explain the past but fail the futureHow visibility before action builds trustWhere designers must decide that autonomy stopsThis episode connects the dots between:The age of agencyDesigning autonomy without losing controlMulti-agent systems and coordinationIf you’re designing, building or leading AI-powered products, this episode will change how you think about control, trust and human agency.🎧 Next episode: The verifiability gap---💬 Join the conversationHave something to say about AI, creativity or what it means to stay human in an intelligent world, we would love to hear from you.👉 Join the conversation: https://forms.gle/HLAczyaxqRwoe6Fs6👉 Visit the website: humanxintelligent.com👉 Connect on LinkedIn: /humanxintelligent👉 Follow on Instagram: @humanxintelligent📩 For collaboration or guest submissions: [email protected] the show🎙️ Human × Intelligent - a podcast about trust, transparency and human agency in AI systems, for product designers, PMs and founders building with AI. 🔔 Subscribe so you don't miss the next episode 🌐 humanxintelligent.com Hosted by Madalena Costa · Senior product designer and AI systems strategist 

Autonomy scales intelligence.But without coordination, it creates conflict.In this episode of Human × Intelligent, we explore the shift from single-model AI to multi-agent systems and why intelligence at scale starts to behave less like software and more like an organization.We break down what happens when multiple autonomous agents work together, where things go wrong and how to design for coherence instead of chaos.You’ll learn:Why the 'single model' era breaks under complexityHow task decomposition enables distributed intelligenceWhat agent drift is and why it’s a structural risk and not a bugA real travel app case study where agents competed instead of collaboratingThe hidden token costs of multi-agent systemsA five-layer orchestration blueprint for coordinated intelligenceAutonomy without coordination creates conflict.Coordination without intent creates noise.Intent turns systems into teams.🎧 Next episode: how we move beyond the chat box and design the interface of intent.---Show notes/links> Follow Human × Intelligent for weekly episodes > Subscribe on your favorite podcast platform > Share this episode with someone building intelligent products📬 Follow the Substack for diagrams, orchestration blueprints and deep dives into multi-agent systems💬 Join the conversationHave something to say about AI, creativity or what it means to stay human in an intelligent world, we would love to hear from you.👉 Join the conversation: https://forms.gle/HLAczyaxqRwoe6Fs6👉 Visit the website: humanxintelligent.com👉 Connect on LinkedIn: /humanxintelligent👉 Follow on Instagram: @humanxintelligent📩 For collaboration or guest submissions: [email protected], we’re shaping a new way of working, one reflection, one insight and one conversation at a time.Support the show🎙️ Human × Intelligent - a podcast about trust, transparency and human agency in AI systems, for product designers, PMs and founders building with AI. 🔔 Subscribe so you don't miss the next episode 🌐 humanxintelligent.com Hosted by Madalena Costa · Senior product designer and AI systems strategist 

Autonomy is no longer optional in intelligent systems.But without clear boundaries, it quickly turns from helpful to harmful.In this episode of Human × Intelligent, we explore what autonomy means in product design, why it’s often misunderstood and how to design systems that act with purpose rather than unpredictability.You’ll learn:Why autonomy is not freedom, but structured initiativeThe 4 levels of autonomy and how to choose the right oneThe biggest risks of poorly designed autonomous systemsPractical principles to design autonomy that feels like a partnership and not a takeoverAutonomy without alignment creates chaos.Autonomy with alignment creates flow.🎧 Next episode: how multi-agent systems coordinate, compete and collaborate and why coherence is the next frontier of intelligent product design.Show notes / linksFollow Human × Intelligent for weekly episodesSubscribe on your favorite podcast platformShare this episode with someone building intelligent productsYouTube video I discussed during the episode: https://youtu.be/UdsFMJFuopg?si=Rk2qp8iGCN47_Vaw💬 Join the conversationHave something to say about AI, creativity or what it means to stay human in an intelligent world, we would love to hear from you.👉 Join the conversation: https://forms.gle/HLAczyaxqRwoe6Fs6👉 Visit the website: humanxintelligent.com👉 Connect on LinkedIn: /humanxintelligent👉 Follow on Instagram: @humanxintelligent📩 For collaboration or guest submissions: [email protected], we’re shaping a new way of working, one reflection, one insight and one conversation at a time.Support the show🎙️ Human × Intelligent - a podcast about trust, transparency and human agency in AI systems, for product designers, PMs and founders building with AI. 🔔 Subscribe so you don't miss the next episode 🌐 humanxintelligent.com Hosted by Madalena Costa · Senior product designer and AI systems strategist 

Products are changing. They no longer just react to user input or display information.They initiate actions.They make decisions.They influence behaviour.In this episode of Human × Intelligent, we explore the age of agency, a shift where intelligent systems move from passive tools to active collaborators.We break down what agency really means, why it changes the human–technology relationship and how designers, product leaders and teams can build systems that act with alignment instead of drift.You’ll hear:What defines agency in intelligent systemsThe three conditions that enable systems to actThe risks of agency without alignmentHow to design agents that collaborate rather than automatePrinciples for a responsible and trustworthy agencyAs agency grows, the question is no longer if systems will act but whether we can guide them with intention and clarity.💬 Join the conversationHave something to say about AI, creativity or what it means to stay human in an intelligent world, we would love to hear from you.👉 Join the conversation: https://forms.gle/HLAczyaxqRwoe6Fs6👉 Visit the website: humanxintelligent.com👉 Connect on LinkedIn: /humanxintelligent👉 Follow on Instagram: @humanxintelligent📩 For collaboration or guest submissions: [email protected], we’re shaping a new way of working, one reflection, one insight and one conversation at a time.Support the show🎙️ Human × Intelligent - a podcast about trust, transparency and human agency in AI systems, for product designers, PMs and founders building with AI. 🔔 Subscribe so you don't miss the next episode 🌐 humanxintelligent.com Hosted by Madalena Costa · Senior product designer and AI systems strategist 

Every product communicates something before a user ever takes an action.Some products feel clear the moment you open them.Others feel confused, even when the design looks polished and 'correct'.The difference isn’t aesthetics. It’s attention.In this episode of Human x Intelligent, we explore attention not as a productivity skill or psychological trait, but as the underlying architecture of intelligence itself. Attention determines what becomes visible, what gets ignored, what feels meaningful and what a system ultimately learns.We look at how attention operates across 3 layers:> Human attention, what people notice, expect and prioritise> Product attention, what interfaces highlight, hide or reinforce> Model attention, what AI systems learn to weigh and optimise forWhen these layers align, products feel intuitive, calm and trustworthy. When they drift, confusion, overload and misalignment follow.This episode explores why clarity is a felt experience before it is a design decision, why most confusion in AI-powered products is actually an attention failure and how misaligned attention quietly breaks loops, trust and coherence long before anyone notices.We introduce a simple attention alignment blueprint to help teams diagnose confusion, reduce noise and design systems that guide focus with intention rather than compete for it.This episode blends product strategy, cognitive science and AI behaviour to help you design systems that don’t just capture attention, but deserve it.In this episode, you’ll learn:> Why attention is a structural property of intelligence> How human, product and model attention interact and drift> Why clarity begins before interaction> How misaligned attention creates confusion even in 'well-designed' products> Early signs that attention is breaking inside systems and teams> A practical blueprint for aligning attention across humans, interfaces and modelsListen if you’re building, designing or leading in tech and want your product or system to feel clear, coherent and trustworthy from the very first moment.💬 Join the conversationHave something to say about AI, creativity or what it means to stay human in an intelligent world, we would love to hear from you.👉 Join the conversation: https://forms.gle/HLAczyaxqRwoe6Fs6👉 Visit the website: humanxintelligent.com👉 Connect on LinkedIn: /humanxintelligent👉 Follow on Instagram: @humanxintelligent📩 For collaboration or guest submissions: [email protected], we’re shaping a new way of working, one reflection, one insight and one conversation at a time.Support the show🎙️ Human × Intelligent - a podcast about trust, transparency and human agency in AI systems, for product designers, PMs and founders building with AI. 🔔 Subscribe so you don't miss the next episode 🌐 humanxintelligent.com Hosted by Madalena Costa · Senior product designer and AI systems strategist 

Part 2 of Episode 4 moves from theory to application. If Part 1 explained drift, Part 2 explains how to prevent it.In this episode:> the five principles of system alignment> how to stabilise incentives to avoid unintended behaviour> how to design reversible autonomy> how to keep feedback loops coherent across teams and models> how to align human attention, product attention and model attention> how to detect drift before it becomes visible to users> the blueprint for building trustworthy AI enabled productsAlignment is not an abstract concept. It is the architecture behind every system you trust.💬 Join the conversationHave something to say about AI, creativity or what it means to stay human in an intelligent world, we would love to hear from you.👉 Join the conversation: https://forms.gle/HLAczyaxqRwoe6Fs6👉 Visit the website: humanxintelligent.com👉 Connect on LinkedIn: /humanxintelligent👉 Follow on Instagram: @humanxintelligent📩 For collaboration or guest submissions: [email protected] we are shaping a new way of working, one reflection, one insight and one conversation at a time.Support the show🎙️ Human × Intelligent - a podcast about trust, transparency and human agency in AI systems, for product designers, PMs and founders building with AI. 🔔 Subscribe so you don't miss the next episode 🌐 humanxintelligent.com Hosted by Madalena Costa · Senior product designer and AI systems strategist 

AI does not fail because it is powerful. It fails because it becomes powerful in the wrong direction. In this episode we break down one of the most misunderstood concepts in AI and product building, alignment, the gap between what we intend intelligent systems to do and what they actually optimize for.The real world is full of examples. A lawyer using AI fabricated cases in court. Bing’s early behaviour, optimized for engagement instead of truth. The Boeing 737 MAX incidents, a human system misalignment with catastrophic consequences. Different industries, same failure mode, human intent, system interpretation, drift.In this episode you will learn what alignment means in AI, multimodal systems and human machine collaboration. You will also understand why intelligent systems drift, how incentives shape behaviour in machines and in teams, and the hidden design signals that reveal misalignment early. We also look at how multi agent systems amplify risk when one agent drifts and the foundational principles you need to design aligned products.Part 2 will go deeper into practical frameworks, patterns and real product applications. Part 1 sets the worldview and gives you the lens you need for everything that follows.If you are building AI, using AI or designing systems that learn over time, alignment is one of the most important concepts you can understand.In this episode: • What alignment means in modern intelligent systems • Why AI models drift and how drift emerges in products • How incentives shape behaviour in machines and in teams • The early signals that reveal misalignment • Why multi agent systems increase alignment risk • The principles for designing aligned and trustworthy productsListen if you are building, designing or leading in the age of intelligence and you want to ensure the systems you create stay aligned with human intent.💬 Join the conversationHave something to say about AI, creativity or what it means to stay human in an intelligent world, we would love to hear from you.👉 Join the conversation: https://forms.gle/HLAczyaxqRwoe6Fs6👉 Visit the website: humanxintelligent.com👉 Connect on LinkedIn: /humanxintelligent👉 Follow on Instagram: @humanxintelligent📩 For collaboration or guest submissions: [email protected] we are shaping a new way of working, one reflection, one insight and one conversation at a time.Support the show🎙️ Human × Intelligent - a podcast about trust, transparency and human agency in AI systems, for product designers, PMs and founders building with AI. 🔔 Subscribe so you don't miss the next episode 🌐 humanxintelligent.com Hosted by Madalena Costa · Senior product designer and AI systems strategist 

In episode 1 we explored why clarity is the real measurement of intelligence. In episode 2 we learned that intelligence does not evolve in straight lines, it evolves in loops. But loops do not start on their own. Something has to tell the system what to look at first, and that something is attention.In this episode we explore the architecture of attention and how it shapes learning for both humans and AI. We look at human attention and how our focus shapes habits, interfaces and the loops we naturally create. We examine machine attention and how AI models weigh information, prioritize signals and decide what matters inside a prediction.We also look at product attention and how design directs focus, reduces noise and determines what users actually understand. Then we explore misaligned attention, the reason loops break, trust collapses and AI features feel confusing or off. Finally we walk through the attention alignment blueprint, a practical framework for aligning user attention, product attention and model attention.This episode is grounded in real product experiences, from user tests where attention landed in the wrong place to AI systems that learned the right thing for the wrong reason, and examples from products like Duolingo, Notion and Spotify that intentionally design attention as part of their intelligence.Because clarity lives in motion, and motion begins with attention.In this episode: • How human attention shapes learning and behaviour • How AI models decide what matters inside a prediction • Why product attention determines understanding and trust • How misaligned attention breaks loops and collapses clarity • The attention alignment blueprint for modern product teamsListen if you are building, designing or leading in the age of intelligence and you want to design products that guide attention with purpose and clarity.💬 Join the conversationHave something to say about AI, creativity or what it means to stay human in an intelligent world, we would love to hear from you.👉 Join the conversation: https://forms.gle/HLAczyaxqRwoe6Fs6👉 Visit the website: humanxintelligent.com👉 Connect on LinkedIn: /humanxintelligent👉 Follow on Instagram: @humanxintelligent📩 For collaboration or guest submissions: [email protected] we are shaping a new way of working, one reflection, one insight and one conversation at a time.Support the show🎙️ Human × Intelligent - a podcast about trust, transparency and human agency in AI systems, for product designers, PMs and founders building with AI. 🔔 Subscribe so you don't miss the next episode 🌐 humanxintelligent.com Hosted by Madalena Costa · Senior product designer and AI systems strategist 

In part 1 we explored how humans and AI learn through rhythm, the cycles of action, feedback, adjustment and explanation. Now we zoom out.In part 2 we move from theory to product reality, how loops appear inside the tools we use every day, how they shape behaviour, how they build trust or break it, and why every modern product is really a collection of loops trying to stay aligned.We look at product loops and how intelligence shows up in systems like Spotify, Duolingo, Notion and beyond. We explore broken loops, the signals that a product is learning faster than humans can follow, and the trust issues that follow. Then we examine team loops and how organisations create friction when product, design, data, CX and leadership operate on different rhythms.We also unpack misaligned loops, where clarity collapses, how opacity creeps in and why explainability is now part of product strategy and not just UX. Finally we walk through a simple framework for repairing loops by reconnecting behaviour, signal, adjustment and explanation.Because loops never live in isolation. They scale into features, into teams, into departments and into entire organisations, and your product is only as intelligent as the loops that keep it coherent.If part 1 was about understanding the nature of learning, part 2 is about seeing loops everywhere and knowing how to design for them.In this episode: • How product loops shape behaviour and trust • What broken loops look like inside modern products • The gap created when systems learn faster than humans can follow • Why team loops fall out of rhythm and create organisational friction • How misalignment collapses clarity inside AI powered products • A simple framework for repairing and realigning loopsListen if you are building, designing or leading in tech and you want to understand how loops create clarity, trust and intelligence across products and teams.💬 Join the conversationHave something to say about AI, creativity or what it means to stay human in an intelligent world, we would love to hear from you.👉 Join the conversation: https://forms.gle/HLAczyaxqRwoe6Fs6👉 Visit the website: humanxintelligent.com👉 Connect on LinkedIn: /humanxintelligent👉 Follow on Instagram: @humanxintelligent📩 For collaboration or guest submissions: [email protected] we are shaping a new way of working, one reflection, one insight and one conversation at a time.Support the show🎙️ Human × Intelligent - a podcast about trust, transparency and human agency in AI systems, for product designers, PMs and founders building with AI. 🔔 Subscribe so you don't miss the next episode 🌐 humanxintelligent.com Hosted by Madalena Costa · Senior product designer and AI systems strategist 

Growth does not happen in straight lines, it happens in loops. In part 1 of thinking in loops we explore how humans and intelligent systems learn, adapt and evolve through feedback, attention and rhythm.We start by breaking the illusion of linearity, why roadmaps, OKRs and product plans often look straight even though real intelligence never behaves that way. Then we look at how humans loop through meaning, emotion, context and prediction, drawing from psychology, Daniel Kahneman and the theory behind attention is all you need.We compare this with how AI learns through measurement, error correction and adaptability, referencing Chip Huyen’s AI engineering and Ethan Mollick’s co intelligence. You will learn why models improve not by being smarter but by becoming faster at noticing they are wrong.Together these ideas form the foundation for designing systems that learn with us and not just around us.Part 1 ends with a question that sets the stage for what comes next, what happens when these loops expand beyond individuals into products, teams and organizations.Listen ahead, part 2 continues the loop.In this episode: • Why growth happens in loops and not lines • How humans loop through meaning and prediction • How AI loops through measurement and error correction • What attention and rhythm mean in modern systems • Why speed of correction defines intelligent behavior • How loops become the foundation for better products and better decisionsListen if you are building, designing or leading in the age of intelligence and you want to understand how humans and AI learn together.💬 Join the conversationHave something to say about AI, creativity or what it means to stay human in an intelligent world, we would love to hear from you.👉 Join the conversation: https://forms.gle/HLAczyaxqRwoe6Fs6👉 Visit the website: humanxintelligent.com👉 Connect on LinkedIn: /humanxintelligent👉 Follow on Instagram: @humanxintelligent📩 For collaboration or guest submissions: [email protected] we are shaping a new way of working, one reflection, one insight and one conversation at a time.Support the show🎙️ Human × Intelligent - a podcast about trust, transparency and human agency in AI systems, for product designers, PMs and founders building with AI. 🔔 Subscribe so you don't miss the next episode 🌐 humanxintelligent.com Hosted by Madalena Costa · Senior product designer and AI systems strategist 

In the age of AI the smartest product in the world still fails if no one trusts it. This is why clarity, not intelligence, has become the real measure of a great product.In this opening episode of Human × Intelligent Madalena Costa explores what she calls the age of synthetic clarity, a moment where intelligent systems are everywhere but understanding them is what truly defines success.You will hear why simplicity is no longer enough, what synthetic clarity means in modern product systems and how four core principles, visibility, explainability, transparency and feedback loops, help teams design products that people can trust, use and stay with.Through analogies like the beehive, reflections on team archetypes and examples from AI powered tools we all use, Madalena explains how clarity becomes the bridge between human sense making and machine learning.Because the future of product is not about adding more intelligence, it is about designing clarity into intelligence itself.At the end of the episode Madalena shares what to expect from season 1, her solo exploration of the Human × Intelligent manifesto, and a preview of season 2, when guests from around the world will join to expand the conversation.In this episode: • Why trust is the foundation of every intelligent product • What synthetic clarity means in modern product systems • The story of the beehive and how it mirrors intelligent collaboration • How to think in loops and not lines • The four principles of clarity in AI powered products • How team archetypes influence trust and design decisionsListen if you are building, designing or leading in the age of intelligence and you want to make your products not just smarter but clearer.💬 Join the conversationHave something to say about AI, creativity or what it means to stay human in an intelligent world, we would love to hear from you.👉 Join the conversation: https://forms.gle/HLAczyaxqRwoe6Fs6👉 Visit the website: humanxintelligent.com👉 Connect on LinkedIn: /humanxintelligent👉 Follow on Instagram: @humanxintelligent📩 For collaboration or guest submissions: [email protected] we are shaping a new way of working, one reflection, one insight and one conversation at a time.Support the show🎙️ Human × Intelligent - a podcast about trust, transparency and human agency in AI systems, for product designers, PMs and founders building with AI. 🔔 Subscribe so you don't miss the next episode 🌐 humanxintelligent.com Hosted by Madalena Costa · Senior product designer and AI systems strategist 

What happens when intelligence stops feeling human? In this short opening manifesto, I share the origin of Human × Intelligent, the spark, the frustration and the vision behind a movement built for the next generation of thinkers, builders and leaders.This is not just another tech podcast, it is a space for the curious, the uneasy and the ambitious, for anyone who believes that intelligence is only as powerful as the humanity guiding it.In under three minutes, you will hear the declaration that started it all, a blueprint for designing systems that do not just compute, but glow, systems that help us think better, lead better and live better in the age of AI.Human × Intelligent is a weekly podcast exploring how we design, build and lead in the new era of work, through short reflections, deep conversations and frameworks for becoming the most strategic human in any room.Follow the show to join the movement.The future begins here.Next episode: The age of synthetic clarity💬 Join the conversationHave something to say about AI, creativity or what it means to stay human in an intelligent world? We would love to hear from you.👉 Join the conversation: https://forms.gle/HLAczyaxqRwoe6Fs6 👉 Visit the website: humanxintelligent.com 👉 Connect on LinkedIn: /humanxintelligent 👉 Follow on Instagram: @humanxintelligent📩 For collaboration or guest submissions: [email protected] we are shaping a new way of working, one reflection, one insight and one conversation at a time.Support the show🎙️ Human × Intelligent - a podcast about trust, transparency and human agency in AI systems, for product designers, PMs and founders building with AI. 🔔 Subscribe so you don't miss the next episode 🌐 humanxintelligent.com Hosted by Madalena Costa · Senior product designer and AI systems strategist