Episodes

  • S3E15 - Intentional AI: AI can't fix your social media if you have nothing to say

    S3E15 - Intentional AI: AI can't fix your social media if you have nothing to say
    May 5 2026
    AI-generated social media content is everywhere right now. The question is not whether you should use AI for it. The question is whether what you are producing is actually worth putting out there.In this episode, Cole and Virgil get into the honest version of this conversation. Social media is already oversaturated. The algorithm rewards activity, but activity without a message is just noise at scale. The real problem with a lot of AI-assisted social content is not that it sounds like AI. It is that there was nothing behind it to begin with.Cole ran the same prompt across three tools - Gemini, ChatGPT, and Claude - asking each to write a LinkedIn post promoting an article from earlier in the series. The source material was not great, the prompt was intentionally minimal, and the results reflected that. Each tool handled it differently, and the gap between them comes down to how well each one understood what LinkedIn actually requires from a post.The takeaway is not which tool won. It is that the output ceiling is set before you open the tool. Know what you actually want to say, then use AI to help you say it faster and across more formats. That is where it earns its place.Previously in the Intentional AI series:Episode 1: Intentional AI and the Content LifecycleEpisode 2: Maximizing AI for Research and AnalysisEpisode 3: Smarter Content Creation with AIEpisode 4: The role of AI in content managementEpisode 5: How much can you trust AI for accessibilityEpisode 6: You’re asking AI to solve the wrong problems for SEO, GEO, and AEOEpisode 7: Why AI can make your content personalization worseEpisode 8: The real value of AI wireframes is NOT the wireframesEpisode 9: Just because AI can create images doesn't mean you should use themEpisode 10: The Super Bowl didn't sell AI, it exposed itEpisode 11: AI video rewards planning, not your ideasEpisode 12: AI might struggle with creativity, but coding isn't creativeEpisode 13.1: What the rise of conversational search means for your websiteEpisode 14: AI agents are only as good as your workflowNew episodes drop every other Tuesday.For more conversations about AI, design, and digital strategy, visit https://www.highmonkey.com/podcast and subscribe on your favorite podcast platform.(0:00) - Intro(1:17) - Today's topic: AI social post creation strategy(1:58) - The social media volume crisis(4:33) - Start with your message, not the tool(6:14) - Good AI use case for social media(6:56) - On standing out(8:04) - Focusing on small wins(10:48) - AI has evolved and so have our perspectives on it(14:28) - We tested 3 tools for AI social posts(15:42) - Testing Gemini(17:49) - Testing Claude(20:39) - Testing ChatGPT(22:52) - Replacing monotony is not replacing creativity(24:23) - Closing thoughts(25:14) - OutroSubscribe for email updates on our website:https://www.discussingstupid.com/Watch us on YouTube:https://www.youtube.com/@discussingstupidListen on Apple Podcasts, Spotify, or Soundcloud:https://podcasts.apple.com/us/podcast/discussing-stupid-a-byte-sized-podcast-on-stupid-ux/id1428145024https://open.spotify.com/show/0c47grVFmXk1cco63QioHp?si=87dbb37a4ca441c0https://soundcloud.com/discussing-stupidCheck Us Out on Socials:https://www.linkedin.com/company/discussing-stupidhttps://www.instagram.com/discussingstupid/https://www.facebook.com/discussingstupidhttps://x.com/DiscussStupid
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    26 mins
  • S3E14 - Intentional AI: AI agents are only as good as your workflow

    S3E14 - Intentional AI: AI agents are only as good as your workflow
    Apr 21 2026
    Agentic AI has been one of the most repeated phrases in marketing and technology for the past year. Most people using it cannot tell you what it means. Virgil and Cole bring in Sean Wright, Lead Product Evangelist at Kentico, to cut through the noise and talk about what agentic AI actually does inside a content management workflow.The starting point is a distinction that gets lost in the hype. Standard AI chat requires you to keep driving it. You ask, it answers, it stops. Agents do not stop when you do. They make decisions, take action, and iterate toward a goal using whatever tools and data they have access to. Sean makes the case that this shift in behavior is significant, but only if the agent has something real to work with. Context is the deciding factor every time.Sean walks through two areas where Kentico's built-in AI engine, AIRA (AI Recommendations and Assistance), is already handling real workflow tasks. The first is image management - optimization, cropping, focal point detection, alt text generation, and taxonomy tagging, all happening in the background without the marketer stepping in. The second is a content strategist agent that evaluates web content against your organization's content strategy document, checking for consistency in tone, style, and voice before anything goes live.The conversation closes on evals, a concept that does not get enough attention outside of product development circles. As models change and context evolves, teams need a way to verify that output quality is holding steady. Sean makes the case that this applies to individual marketers and marketing teams, not just vendors. If you rely on a repeatable AI-assisted workflow, you should have a way to know when something has quietly shifted.Previously in the Intentional AI series:Episode 1: Intentional AI and the Content LifecycleEpisode 2: Maximizing AI for Research and AnalysisEpisode 3: Smarter Content Creation with AIEpisode 4: The role of AI in content managementEpisode 5: How much can you trust AI for accessibilityEpisode 6: You’re asking AI to solve the wrong problems for SEO, GEO, and AEOEpisode 7: Why AI can make your content personalization worseEpisode 8: The real value of AI wireframes is NOT the wireframesEpisode 9: Just because AI can create images doesn't mean you should use themEpisode 10: The Super Bowl didn't sell AI, it exposed itEpisode 11: AI video rewards planning, not your ideasEpisode 12: AI might struggle with creativity, but coding isn't creativeEpisode 13.1: What the rise of conversational search means for your websiteNew episodes every other Tuesday.For more conversations about AI, design, and digital strategy, visit https://www.highmonkey.com/podcast and subscribe on your favorite podcast platform.(0:00) - Intro(0:44) - Meet Sean Wright from Kentico(1:45) - What does "agentic" actually mean?(3:13) - The agent doesn't stop when you do(4:11) - It all depends on the tools(5:49) - AI output is non-deterministic. Plan for it.(8:11) - What AIRA handles behind the scenes(11:17) - Where AI works best: logic over creativity(12:17) - Evaluating content against your own strategy(15:24) - Consistency is harder than creation(16:03) - AI still requires planning(16:58) - Tools that can help across the content lifecycle(18:48) - Cognitive load and the 80/20 rule(20:16) - Will AI replace your job?(21:45) - The Wall-E chair question(23:19) - Agentic AI is intentional AI(24:17) - What are evals and why do they matter?(27:01) - Wrapping up(28:00) - OutroSubscribe for email updates on our website:https://www.discussingstupid.com/Watch us on YouTube:https://www.youtube.com/@discussingstupidListen on Apple Podcasts, Spotify, or Soundcloud:https://podcasts.apple.com/us/podcast/discussing-stupid-a-byte-sized-podcast-on-stupid-ux/id1428145024https://open.spotify.com/show/0c47grVFmXk1cco63QioHp?si=87dbb37a4ca441c0https://soundcloud.com/discussing-stupidCheck Us Out on Socials:https://www.linkedin.com/company/discussing-stupidhttps://www.instagram.com/discussingstupid/https://www.facebook.com/discussingstupidhttps://x.com/DiscussStupid
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    29 mins
  • S3E13.1 - Intentional AI: What the rise of conversational search means for your website

    S3E13.1 - Intentional AI: What the rise of conversational search means for your website
    Apr 7 2026
    Conversational search changes the fundamental contract of how users interact with a website. Instead of returning links, it returns answers. That sounds like a clean upgrade. What it actually does is make the quality of everything sitting underneath the AI impossible to ignore. In this episode, Virgil and Cole bring in their first-ever guest for the series, Will Noble from Squiz, who has spent over a decade working in the information discovery space for large enterprise organizations.Will explains the shift with a clean analogy early in the episode. Traditional search is like asking a librarian for help and getting handed a stack of encyclopedias. Conversational search is that same librarian reading every book in the library and handing you a direct answer. The user experience improvement is real. But so is what it depends on, because the AI reads everything, including the outdated policy documents buried in a subdomain that nobody has touched in a decade. When dormant content gets surfaced as a confident answer, the gap between what was published and what is actually true becomes a reputational and legal problem.The practical guidance that emerges from the conversation is to start with a defined slice of content you know is solid. Will walks through a real example of a university with 250,000 pieces of content that scoped its initial conversational search implementation to 50 pages focused on student life. Questions related to that area got clean, accurate answers. Everything else defaulted to traditional keyword search. That controlled scope is what allowed the project to prove value before expanding, and it is what kept stakeholders from pulling the plug the moment a bad result surfaced.The garbage-in, garbage-out principle has always been true in search. What this episode makes clear is that it has never carried higher stakes. LLMs do not skip the bad content. They find it, surface it, and present it with confidence. The first step toward getting conversational search right is the same step the rest of this series keeps coming back to: know what you are working with before you deploy.Previously in the Intentional AI series:Episode 1: Intentional AI and the Content LifecycleEpisode 2: Maximizing AI for Research and AnalysisEpisode 3: Smarter Content Creation with AIEpisode 4: The role of AI in content managementEpisode 5: How much can you trust AI for accessibilityEpisode 6: You’re asking AI to solve the wrong problems for SEO, GEO, and AEOEpisode 7: Why AI can make your content personalization worseEpisode 8: The real value of AI wireframes is NOT the wireframesEpisode 9: Just because AI can create images doesn't mean you should use themEpisode 10: The Super Bowl didn't sell AI, it exposed itEpisode 11: AI video rewards planning, not your ideasEpisode 12: AI might struggle with creativity, but coding isn't creativeNew episodes every other Tuesday.For more conversations about AI, design, and digital strategy, visit https://www.highmonkey.com/podcast and subscribe on your favorite podcast platform.(0:00) - Intro(0:51) - Meet Will Noble from Squiz(2:14) - Today's topic: Conversational search(4:14) - Welcome to the new era of information seeking(7:10) - The dormant content problem(9:48) - You can ignore the problem, but it won't ignore you(11:45) - Where do you start with thousands of pages?(14:36) - Start small, don't go big(17:14) - AI's opportunity as a content auditing tool(20:39) - Search is the foundation of everything AI does(22:13) - How do you keep up when AI moves this fast?(25:43) - OutroSubscribe for email updates on our website:https://www.discussingstupid.com/Watch us on YouTube:https://www.youtube.com/@discussingstupidListen on Apple Podcasts, Spotify, or Soundcloud:https://podcasts.apple.com/us/podcast/discussing-stupid-a-byte-sized-podcast-on-stupid-ux/id1428145024https://open.spotify.com/show/0c47grVFmXk1cco63QioHp?si=87dbb37a4ca441c0https://soundcloud.com/discussing-stupidCheck Us Out on Socials:https://www.linkedin.com/company/discussing-stupidhttps://www.instagram.com/discussingstupid/https://www.facebook.com/discussingstupidhttps://x.com/DiscussStupid
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    27 mins
  • S3E12 - Intentional AI: AI might struggle with creativity, but coding isn't creative

    S3E12 - Intentional AI: AI might struggle with creativity, but coding isn't creative
    Mar 24 2026
    Most of the Intentional AI series has tested AI in areas where judgment, creativity, and context matter a lot. This episode is a little different. Virgil, Cole, and returning guest Chad take a look at AI and web development, a domain where patterns, repetition, and known best practices are the whole point. On paper, that should be where AI shines.Chad makes clear that for working developers, AI is already genuinely useful. Generating boilerplate, producing code blocks for well-understood functionality, and cutting down on time spent typing out repetitive structures. These are real wins. The catch is that getting value out of AI-generated code still requires knowing what you're looking at. If you can't read the output, you can't catch the errors, and you can't fix what's wrong.That gap becomes more visible when you consider who these tools are being marketed to. The pitch is often aimed at business users and non-developers, promising a fast path from idea to working product. The episode digs into why that gap -- between what gets generated and what is actually usable -- is harder to close in code than it is in content or images. A piece of writing that's 80% there can be polished. Code that's 80% there can be a liability, especially if the person using it doesn't know what the other 20% is.Virgil tested Claude, ChatGPT, and GenSpark against the same prompt: build a visually appealing, fully accessible accordion web component using the series source article. All three produced something workable. None were perfect. Claude handled screen reader accessibility well but had a JavaScript bug that prevented the drawers from opening and used a low-contrast color scheme. ChatGPT produced the most functional but visually flat result, with the worst screen reader compliance. GenSpark produced the most polished visual, with the most helpful follow-up prompts, and landed in the middle on accessibility. As Virgil put it, these were the least failures the series has generated, which is saying something.Previously in the Intentional AI series:Episode 1: Intentional AI and the Content LifecycleEpisode 2: Maximizing AI for Research and AnalysisEpisode 3: Smarter Content Creation with AIEpisode 4: The role of AI in content managementEpisode 5: How much can you trust AI for accessibilityEpisode 6: You’re asking AI to solve the wrong problems for SEO, GEO, and AEOEpisode 7: Why AI can make your content personalization worseEpisode 8: The real value of AI wireframes is NOT the wireframesEpisode 9: Just because AI can create images doesn't mean you should use themEpisode 10: The Super Bowl didn't sell AI, it exposed itEpisode 11: AI video rewards planning, not your ideasNew episodes every other Tuesday.For more conversations about AI, design, and digital strategy, visit https://www.highmonkey.com/podcast and subscribe on your favorite podcast platform.(0:00) - Intro(0:44) - Today's topic: Intersection of AI & coding(2:46) - The "just type and get a website" myth(3:44) - Where AI actually helps with coding(6:08) - When "good enough" works and when it doesn't(8:13) - The real win: Using AI as a developer(11:06) - Tool test: building an accordion with AI(13:14) - Testing Claude(16:23) - Testing ChatGPT (Codex)(18:25) - Testing GenSpark(20:25) - Using AI to fix AI code(23:11) - Tons of opportunity with AI and coding(24:16) - OutroSubscribe for email updates on our website:https://www.discussingstupid.com/Watch us on YouTube:https://www.youtube.com/@discussingstupidListen on Apple Podcasts, Spotify, or Soundcloud:https://podcasts.apple.com/us/podcast/discussing-stupid-a-byte-sized-podcast-on-stupid-ux/id1428145024https://open.spotify.com/show/0c47grVFmXk1cco63QioHp?si=87dbb37a4ca441c0https://soundcloud.com/discussing-stupidCheck Us Out on Socials:https://www.linkedin.com/company/discussing-stupidhttps://www.instagram.com/discussingstupid/https://www.facebook.com/discussingstupidhttps://x.com/DiscussStupid
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    26 mins
  • S3E11 - Intentional AI: AI video rewards planning, not your ideas

    S3E11 - Intentional AI: AI video rewards planning, not your ideas
    Mar 10 2026
    AI video tools promise fast, cheap production. But what you get back depends entirely on how much thinking you did before you hit enter.In Episode 11 of Season 3's Intentional AI series, Virgil and Cole take on AI video generation, arguably the most complex and most hyped area of AI content creation. Video production has always been expensive, often running thousands of dollars per minute through traditional workflows. AI tools are pitched as the solution to that cost. The reality is more complicated.The core question Cole raises early: are you using AI for speed, or for creativity? With video, that matters even more than with text or images, because the ability to edit what AI generates is extremely limited. You are largely working with what comes back.Virgil tested three tools, Claude, Artlist, and Sora, using the same prompt and the same source article the series has been following. The results varied wildly. Some tools produced clean, factually grounded output that could serve as a foundation with additional editing. Others burned through resources quickly and delivered results that raised more questions than they answered (to put it lightly). Each tool had tradeoffs between creative quality, turnaround time, cost, and practical usability.The pattern held across the board: AI video does not reward vague ideas. It rewards storyboarding, defined objectives, and clear constraints. The most realistic use case is not generating entire videos from scratch, but using AI for individual pieces -- a specific animation, a graphic element, a rough draft to react to.AI video is getting better. But better does not mean ready.Previously in the Intentional AI series:Episode 1: Intentional AI and the Content LifecycleEpisode 2: Maximizing AI for Research and AnalysisEpisode 3: Smarter Content Creation with AIEpisode 4: The role of AI in content managementEpisode 5: How much can you trust AI for accessibilityEpisode 6: You’re asking AI to solve the wrong problems for SEO, GEO, and AEOEpisode 7: Why AI can make your content personalization worseEpisode 8: The real value of AI wireframes is NOT the wireframesEpisode 9: Just because AI can create images doesn't mean you should use themEpisode 10: The Super Bowl didn't sell AI, it exposed itNew episodes every other Tuesday.For more conversations about AI, design, and digital strategy, visit https://www.highmonkey.com/podcast and subscribe on your favorite podcast platform.(0:00) - Intro(1:04) - The good & bad of AI video generation(1:30) - Are you using AI for speed or creativity?(3:56) - Structure up front = your best friend(7:28) - How Coinbase used simplicity to stand out(8:42) - More Super Bowl AI narrative unpacking(10:20) - We tested 3 tools for AI video generation(11:47) - Testing Claude(14:24) - Testing Artlist(16:32) - Testing Sora(19:03) - Closing thoughts & takeaways(21:40) - OutroSubscribe for email updates on our website:https://www.discussingstupid.com/Watch us on YouTube:https://www.youtube.com/@discussingstupidListen on Apple Podcasts, Spotify, or Soundcloud:https://podcasts.apple.com/us/podcast/discussing-stupid-a-byte-sized-podcast-on-stupid-ux/id1428145024https://open.spotify.com/show/0c47grVFmXk1cco63QioHp?si=87dbb37a4ca441c0https://soundcloud.com/discussing-stupidCheck Us Out on Socials:https://www.linkedin.com/company/discussing-stupidhttps://www.instagram.com/discussingstupid/https://www.facebook.com/discussingstupidhttps://x.com/DiscussStupid
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    23 mins
  • S3E10 - Intentional AI: The Super Bowl didn't sell AI, it exposed it

    S3E10 - Intentional AI: The Super Bowl didn't sell AI, it exposed it
    Feb 24 2026

    In Episode 10 of Intentional AI, we are taking a short detour in our Intentional AI series to talk about the Super Bowl. Not the game. The ads. A noticeable chunk of them leaned hard into AI. On the surface, it felt like a big moment for the industry. But when you look closer, it raises a different question. Are we watching real progress, or just very expensive hype?

    We unpack what was actually being sold, what was implied, and what gets left out when AI is positioned as effortless.

    AI has value. We are not arguing that it does not. But it works best when it is used intentionally and within clear boundaries. When it is marketed as a replacement for thinking, planning, or strategy, that is where things fall apart.


    If you are trying to separate signal from noise, this one is for you.


    Previously in the Intentional AI series:

    1. Episode 1: Intentional AI and the Content Lifecycle
    2. Episode 2: Maximizing AI for Research and Analysis
    3. Episode 3: Smarter Content Creation with AI
    4. Episode 4: The role of AI in content management
    5. Episode 5: How much can you trust AI for accessibility
    6. Episode 6: You’re asking AI to solve the wrong problems for SEO, GEO, and AEO
    7. Episode 7: Why AI can make your content personalization worse
    8. Episode 8: The real value of AI wireframes is NOT the wireframes
    9. Episode 9: Just because AI can create images doesn't mean you should use them


    New episodes every other Tuesday.


    For more conversations about AI, design, and digital strategy, visit www.discussingstupid.com and subscribe on your favorite podcast platform.


    (0:00) - Intro

    (0:42) - We had to talk about the Super Bowl

    (2:05) - The numbers behind AI in the Super Bowl

    (3:55) - How AI is marketed vs reality of AI

    (7:30) - This is why we started Intentional AI

    (8:30) - Reflections on the current realities of AI

    (13:20) - Where does AI make the most sense?

    (15:30) - Our reaction to the AI generated ads

    (17:30) - Join us and learn to be responsible with AI

    (19:00) - Outro


    **Also disclaimer: there is a math error at 18:15 - the correct calculation is closer to $100-150 million.**


    Subscribe for email updates on our website:

    https://www.discussingstupid.com/

    Watch us on YouTube:

    https://www.youtube.com/@discussingstupid

    Listen on Apple Podcasts, Spotify, or Soundcloud:

    https://podcasts.apple.com/us/podcast/discussing-stupid-a-byte-sized-podcast-on-stupid-ux/id1428145024

    https://open.spotify.com/show/0c47grVFmXk1cco63QioHp?si=87dbb37a4ca441c0

    https://soundcloud.com/discussing-stupid

    Check Us Out on Socials:

    https://www.linkedin.com/company/discussing-stupid

    https://www.instagram.com/discussingstupid/

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    20 mins
  • S3E9 - Intentional AI: Just because AI can create images doesn't mean you should use them

    S3E9 - Intentional AI: Just because AI can create images doesn't mean you should use them
    Feb 10 2026
    In Episode 9 of the Intentional AI series, Cole and Virgil take on one of the most common and misunderstood uses of AI today: image and graphic generation. From social media visuals to promotional graphics, AI images are fast, easy, and everywhere.The conversation focuses on why images became the public on ramp to AI and why that familiarity creates risk. Visuals feel harmless, but the moment AI starts generating finished looking images, teams inherit decisions around ownership, ethics, and trust that they are often unprepared to make.A central theme of the episode is responsibility escalation. As AI reduces the effort required to create images, the importance of human judgment increases. Treating AI generated visuals as final work can quickly introduce legal, ethical, and reputational problems.Virgil shares a practical experiment where he used a simple prompt to generate three social media promotional graphics from an existing article and tested the results across three tools: Canva, Claude, and Artlist.Canva produced the most generic and repetitive designs. Claude delivered cleaner structure and stronger messaging but struggled with fonts, formats, and variation. Artlist created the most visually interesting outputs, though it introduced workflow limitations and cost concerns.The episode reinforces a consistent conclusion across the series. AI can help jumpstart visual work, but it cannot replace judgment, intent, or responsibility.In this episode, they explore:Why AI images are so tempting to useWhere AI generated graphics actually helpWhy most AI visuals fall flatEthical and ownership risks teams overlookA comparison of Canva, Claude, and ArtlistA downloadable Episode Companion Guide is available below with example outputs and tool takeaways.https://links.discussingstupid.com/s3e9companionPreviously in the Intentional AI series:Episode 1: Intentional AI and the Content LifecycleEpisode 2: Maximizing AI for Research and AnalysisEpisode 3: Smarter Content Creation with AIEpisode 4: The role of AI in content managementEpisode 5: How much can you trust AI for accessibilityEpisode 6: You’re asking AI to solve the wrong problems for SEO, GEO, and AEOEpisode 7: Why AI can make your content personalization worseEpisode 8: The real value of AI wireframes is NOT the wireframesNew episodes every other Tuesday.For more conversations about AI, design, and digital strategy, visit www.discussingstupid.com and subscribe on your favorite podcast platform.(0:00) - Intro(1:40) - You can’t escape AI imagery(3:18) - Why AI images are risky(4:40) - The legal and ethical line(6:15) - Creativity vs time and cost(9:28) - Every tool has hopped on the AI bandwagon(13:20) - The slippery slope of AI visuals(15:35) - We tested 3 tools for AI visuals(17:30) - Testing Canva(20:40) - Testing Claude (Opus)(22:15) - Testing Artlist(24:15) - Tool testing takeaways(26:45) - Closing thoughts(28:00) - OutroSubscribe for email updates on our website:https://www.discussingstupid.com/Watch us on YouTube:https://www.youtube.com/@discussingstupidListen on Apple Podcasts, Spotify, or Soundcloud:https://podcasts.apple.com/us/podcast/discussing-stupid-a-byte-sized-podcast-on-stupid-ux/id1428145024https://open.spotify.com/show/0c47grVFmXk1cco63QioHp?si=87dbb37a4ca441c0https://soundcloud.com/discussing-stupidCheck Us Out on Socials:https://www.linkedin.com/company/discussing-stupidhttps://www.instagram.com/discussingstupid/https://www.facebook.com/discussingstupidhttps://x.com/DiscussStupid
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    29 mins
  • S3E8 - Intentional AI: The real value of AI wireframes is NOT the wireframes

    S3E8 - Intentional AI: The real value of AI wireframes is NOT the wireframes
    Jan 28 2026
    In Episode 8 of the Intentional AI series, Cole, Virgil, and Chad explore one of the most tempting uses of AI in digital work: wireframing and page layout. With AI now able to generate full wireframes in minutes or even seconds, the promise of speed is undeniable. But speed alone is not the point.The conversation focuses on where AI genuinely helps in the wireframing process and where it introduces new risks. Wireframes are meant to establish structure, hierarchy, and intent, not just visual output. While AI can quickly generate layouts, components, and patterns, it still requires strong human judgment to evaluate what is correct, what is missing, and what could cause problems downstream.A key theme of the episode is escalation of responsibility. As AI reduces the time required to create wireframes, the importance of human review, direction, and decision making increases. Treating AI generated wireframes as finished work can introduce serious risks, especially around accessibility, content fidelity, maintainability, and overall project direction.Virgil shares an experiment where he used AI to first generate a detailed prompt for wireframing, then tested that prompt across three tools: Claude, Google Gemini 3, and Figma Make. The results reveal clear differences in layout quality, accessibility handling, content retention, and how easily the outputs could be integrated into real workflows.Claude produced the strongest layout and structural patterns but failed badly on accessibility and removed large portions of content. Gemini generated simpler wireframes with clearer structure, but used even less content and still struggled with accessibility. Figma Make stood out for workflow integration, retaining all content and allowing direct editing inside Figma, though it also failed accessibility requirements and relied heavily on generic styling and placeholder imagery.Throughout the episode, the group returns to the same conclusion. AI is extremely effective at getting the first portion of wireframing done quickly. It is far less effective at making judgment calls, enforcing standards, or understanding context without guidance.In this episode, they explore:How wireframing fits into the content lifecycleWhy speed changes the risk profile of design workUsing AI to generate prompts instead of starting from scratchWhere AI wireframes succeed and where they failAccessibility and content risks in AI generated layoutsA wireframing comparison of Claude, Gemini 3, and Figma MakeA downloadable Episode Companion Guide is available below with tool comparisons and key takeaways.DS-S3-E8-CompanionDoc.pdfPreviously in the Intentional AI series:Episode 1: Intentional AI and the Content LifecycleEpisode 2: Maximizing AI for Research & AnalysisEpisode 3: Smarter Content Creation with AIEpisode 4: The role of AI in content managementEpisode 5: How much can you trust AI for accessibility?Episode 6: You’re asking AI to solve the wrong problems for SEO/GEO/AEOEpisode 7: Why AI can make your content personalization worseNew episodes every other Tuesday.For more conversations about AI, design, and digital strategy, visit www.discussingstupid.com and subscribe on your favorite podcast platform.(0:00) - Intro(1:12) - Why wireframing belongs in the content lifecycle(2:24) - Wireframing is hard / The appeal of AI here(4:08) - Using AI to create the prompt for wireframing(5:27) - Why prompt creation unlocks the real value(7:15) - AI wireframing = filling in blanks & reacting(10:34) - Risks for teams without wireframing expertise(12:21) - Using AI to ask better questions, not skip thinking(13:57) - Iterating prompts and adding constraints(15:24) - We tested 3 AI tools for wireframing(15:56) - Testing Claude(19:41) - Testing Gemini(21:05) - Testing Figma Make(24:56) - Practical takeaways and best use cases(26:50) - OutroSubscribe for email updates on our website:https://www.discussingstupid.com/Watch us on YouTube:https://www.youtube.com/@discussingstupidListen on Apple Podcasts, Spotify, or Soundcloud:https://podcasts.apple.com/us/podcast/discussing-stupid-a-byte-sized-podcast-on-stupid-ux/id1428145024https://open.spotify.com/show/0c47grVFmXk1cco63QioHp?si=87dbb37a4ca441c0https://soundcloud.com/discussing-stupidCheck Us Out on Socials:https://www.linkedin.com/company/discussing-stupidhttps://www.instagram.com/discussingstupid/https://www.facebook.com/discussingstupidhttps://x.com/DiscussStupid
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    29 mins