Workflow Innovation in Creative Design

I experimented with a workflow that combines Gravity Sketch, mixed reality, and Runway's Gen-3 video-to-video AI and got some impressive results, here is what I did: 🚀 Step 1: Using Gravity Sketch in VR, I designed stasis tubes with humanoid figures inside. I placed these models throughout my hallway, integrating them into the real space, using mixed reality mode on my Meta Quest 3 headset. 🎥 Step 2: I filmed myself walking through this mixed reality set, holding a 3D object, capturing my real environment with the 3D models layered in. This gave a first-person view of the scene, as if I were navigating through an alien ship. 🧪 Step 3: Finally, I ran the footage through Runway’s Gen-3 video-to-video AI, using prompts to transform the scene into a space marine navigating an alien ship, complete with eerie stasis tubes and ambient sound effects to drive the atmosphere home. A fast, intuitive way to pre-visualize complex scenes that would otherwise take much longer to design and film traditionally. What this means for creative workflows: 🔹Advanced Storyboarding: With mixed reality, you can set up rough models and get a realistic sense of scale and positioning. You can actually walk through you scene, interacting with it and capturing raw footage directly. 🔹 Quick Pre-Visualization: Using video-to-video genAI, this rough footage can quickly be transformed into something more. It’s a great way to experiment with looks, check in with your client vision, and even lighting before diving into final production. 🔹 Future-Ready Workflows: As video-to-video AI improves, this workflow won’t just be for pre-viz. We’re looking at a future where you could create final-quality outputs straight from this setup, acting out scenes in a mixed reality environment while the AI enhances and polishes everything in real time. Moving towards final generated outputs vs rendered. This opens up a lot of possibilities. You could set up a mixed reality scene, interact with it, and create an entire short film without needing a massive crew or extensive post-production. For now, it’s a powerful way to prototype, storyboard, and explore creative concepts quickly and intuitively. ❓Curious about how mixed reality and AI could transform your creative process? Let’s connect-I’d love to share more insights and explore how these tools can push your projects to the next level.

As industrial designers, we constantly strive to find better, faster ways to ideate and iterate. One of the most exciting developments in design workflows recently is leveraging AI tools like MidJourney’s Edit & Retexture functionality to transform basic CAD forms into high-quality visual concepts in minutes. It was a while since I used Midjourney. But thanks to seeing one of the LinkedIn posts by Hector Rodriguez , I was itching to try it. I recently experimented with this approach using a foundational CAD model. I had made this as one of the form explorations through CAD for a coffee machine.I prompted MidJourney to retexture and visualize it in various material and finish combinations. The results? A series of diverse, photorealistic outputs that allows me to explore design possibilities I may not have considered otherwise. This workflow highlights some key strengths: 1. Speeding Up Concept Ideation: AI tools can generate multiple aesthetic directions from a single CAD base almost instantaneously. This means you can explore and test design ideas quickly, without committing hours to detailed rendering or material adjustments in software like Blender or Keyshot. 2. Streamlining CMF Exploration: Traditionally, exploring different colors, materials, and finishes (CMF) can be a long-drawn-out process, requiring meticulous work in rendering software or Photoshop. With AI, you can bypass this step and instantly visualize multiple CMF options. This not only saves significant time but also allows for rapid iteration and refinement. 3. Accelerating Design Evolution: With rapid outputs, you can visualize the potential of your design’s form and materiality in real-world contexts. This allows for informed decision-making early in the process, saving time during later-stage refinements. 4. Enhancing Creative Exploration: By integrating AI tools, we can step beyond our usual design instincts and uncover unexpected design solutions. This not only enriches the process but also pushes boundaries in creativity and innovation. For industrial designers, this hybrid approach—merging CAD fundamentals with AI-enhanced retexturing—opens up new opportunities to iterate faster and more effectively. Once the most promising directions are identified, we can dive into refining the details, ensuring manufacturability, or rendering them perfectly in Blender, Keyshot, or similar tools. This newfound workflow feels like a game-changer to me, especially for balancing creativity with tight deadlines. What do you think about this tool? #industrialdesign #ConceptIdeation #CMF #CMFExploration #productdesign #MidJourney #ai

My take on the future of creative production: After working with multiple media generation companies, I've come to a clear conclusion: the future lies in integrated workflows 💫 In the world of AI-powered creative content, simply using APIs is no longer enough. To truly scale and maintain brand consistency, we need a smarter approach: an end-to-end workflow (scripting -> story boarding -> asset generation -> post production). One example is a solution like DreamBoard (note: this is not an official Google product or mine, but a great example of an innovative solution). DreamBoard demonstrates the power of a cohesive workflow by combining the capabilities of multiple Google AI products, specifically Gemini, Imagen, and Veo, to create high-quality video ads. Here's why this workflow approach is so effective: -> Scripting & Ideation with Gemini: Instead of starting with a blank page, the process begins with Gemini, a powerful large language model. It's used for brainstorming and generating detailed scene descriptions and image prompts, establishing a strong creative foundation from the get-go. -> Storyboarding & Asset Generation with Imagen: Next, Imagen takes those detailed prompts from Gemini to create compelling, high-quality images. It can generate images from scratch or edit existing ones, which is crucial for building a visual storyboard that aligns with the brand's creative direction. -> Video Generation with Veo: Finally, Veo brings the story to life. It uses the scenes and images created in the previous steps to generate full-fledged video clips. This includes features like text-to-video and image-to-video generation, which are essential for creating dynamic content. By integrating these tools into a single workflow, DreamBoard tackles the complexities of video production, from concept to final product. This structured process allows for greater creative control over each scene, ensuring that the final video is not just a collection of AI-generated assets, but a cohesive and compelling narrative. This model serves as a strong reminder for organizations to think beyond individual API calls and to build robust workflows that enable creative teams to iterate faster, maintain brand consistency, and unlock new possibilities in the age of generative AI. #AI #GenerativeAI #CreativeTech #VideoProduction #Workflow #GoogleCloud Dreamboard repo-> https://lnkd.in/g_9-9ZCb

𝗔𝗜 𝗶𝘀𝗻’𝘁 𝗷𝘂𝘀𝘁 𝘀𝗽𝗲𝗲𝗱𝗶𝗻𝗴 𝘂𝗽 𝟯𝗗 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀 — 𝗶𝘁’𝘀 𝗰𝗵𝗮𝗻𝗴𝗶𝗻𝗴 𝗵𝗼𝘄 𝘁𝗲𝗮𝗺𝘀 𝘁𝗵𝗶𝗻𝗸. We’re not just seeing tools evolve. We’re seeing mindsets evolve. 🟠 Across clients, here’s what’s becoming clear: Designers are thinking more like data analysts With AI-enhanced 3D workflows, creatives aren’t just reacting to feedback, they’re proactively interrogating it. Pattern detection, sentiment analysis, product testing via synthetic data , it’s subtle, but it’s shifting the role of a designer from executor to strategist. Validation is becoming a core creative step Traditionally, creative teams presented concepts then looked for feedback. Now, they’re integrating AI tools that surface predictive insights before samples are made. In 3D, this feedback becomes immediately visual. The result? Fewer revisions, more grounded concepts. There’s more ‘thinking in systems’ Instead of designing one product at a time, teams are using AI to model the impact of changes across categories — colour choices, fabric switch-outs, silhouette iterations. Paired with 3D, it creates a living system of connected assets, not just standalone outputs. 🟠 𝗪𝗵𝗮𝘁 𝘁𝗵𝗶𝘀 𝗺𝗲𝗮𝗻𝘀 𝗳𝗼𝗿 𝗹𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽: The creative process is becoming more transparent, iterative, and cross-functional. That’s exciting but it also demands clearer frameworks, smarter asset management, and stronger cross-team alignment. So if your 3D pipeline still feels siloed, or your AI tools are underused, it might not be the tech. It might be the thinking around it. Have you seen this play out in your team? Let’s dig in always curious to hear what others are noticing, comment below 👇🏾 #3DFashion #AIDesignTools #FashionInnovation 📸 : newarc

𝗧𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗗𝗲𝘀𝗶𝗴𝗻 𝗧𝗼𝗼𝗹𝘀? 𝗔𝗜 𝗪𝗼𝗻’𝘁 𝗝𝘂𝘀𝘁 𝗔𝘀𝘀𝗶𝘀𝘁—𝗜𝘁 𝗪𝗶𝗹𝗹 𝗘𝘃𝗼𝗹𝘃𝗲 𝗪𝗶𝘁𝗵 𝗬𝗼𝘂 🤯🎨 Ever felt like design tools force 𝘺𝘰𝘶 to adapt instead of the other way around? That might change soon. Patrick Hebron, a former Adobe, Nvidia, and Stability AI expert (and a fantastic colleague), just published a great essay on 𝗵𝗼𝘄 𝗔𝗜 𝗰𝗮𝗻 𝗳𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝗹𝘆 𝗰𝗵𝗮𝗻𝗴𝗲 𝘁𝗵𝗲 𝘄𝗮𝘆 𝘄𝗲 𝗰𝗿𝗲𝗮𝘁𝗲. It’s not about AI replacing designers—it’s about AI helping designers 𝗰𝗿𝗲𝗮𝘁𝗲 𝘁𝗵𝗲𝗶𝗿 𝗼𝘄𝗻 𝘁𝗼𝗼𝗹𝘀 𝗼𝗻 𝘁𝗵𝗲 𝗳𝗹𝘆. Imagine shaping an interface 𝘸𝘩𝘪𝘭𝘦 designing, rather than being stuck with pre-built software constraints. That vision really stuck with me. It’s not just "AI doing the work for you"—it’s 𝗔𝗜 𝗺𝗮𝗸𝗶𝗻𝗴 𝘁𝗼𝗼𝗹𝘀 𝘁𝗵𝗮𝘁 𝗳𝗶𝘁 𝘆𝗼𝘂𝗿 𝗳𝗹𝗼𝘄 𝗶𝗻 𝗿𝗲𝗮𝗹 𝘁𝗶𝗺𝗲. The video illustrates that quite well. One quote from the essay that really hits home: 👉 "𝘊𝘳𝘦𝘢𝘵𝘪𝘷𝘦 𝘧𝘭𝘰𝘸 𝘤𝘢𝘯 𝘣𝘦 𝘨𝘭𝘰𝘳𝘪𝘰𝘶𝘴, 𝘣𝘶𝘵 𝘪𝘵 𝘪𝘴 𝘢𝘭𝘴𝘰 𝘲𝘶𝘪𝘵𝘦 𝘧𝘳𝘢𝘨𝘪𝘭𝘦. 𝘜𝘴𝘦𝘳𝘴 𝘭𝘰𝘴𝘦 𝘪𝘵 𝘸𝘩𝘦𝘯 𝘧𝘰𝘳𝘤𝘦𝘥 𝘵𝘰 𝘢𝘥𝘢𝘱𝘵 𝘵𝘩𝘦𝘪𝘳 𝘵𝘩𝘪𝘯𝘬𝘪𝘯𝘨 𝘵𝘰 𝘢 𝘵𝘰𝘰𝘭 𝘵𝘩𝘢𝘵 𝘧𝘦𝘦𝘭𝘴 𝘶𝘯𝘯𝘢𝘵𝘶𝘳𝘢𝘭 𝘰𝘳 𝘶𝘯𝘧𝘢𝘮𝘪𝘭𝘪𝘢𝘳. 𝘈𝘐-𝘦𝘯𝘢𝘣𝘭𝘦𝘥 𝘵𝘰𝘰𝘭𝘴 𝘰𝘧𝘧𝘦𝘳 𝘢𝘯 𝘢𝘭𝘵𝘦𝘳𝘯𝘢𝘵𝘪𝘷𝘦, 𝘢𝘭𝘭𝘰𝘸𝘪𝘯𝘨 𝘶𝘴𝘦𝘳𝘴 𝘵𝘰 𝘸𝘰𝘳𝘬 𝘢𝘵 𝘢 𝘩𝘪𝘨𝘩𝘦𝘳, 𝘤𝘰𝘯𝘤𝘦𝘱𝘵𝘶𝘢𝘭 𝘭𝘦𝘷𝘦𝘭 𝘸𝘩𝘪𝘭𝘦 𝘈𝘐 𝘢𝘨𝘦𝘯𝘵𝘴 𝘩𝘢��𝘥𝘭𝘦 𝘵𝘩𝘦 𝘥𝘦𝘵𝘢𝘪𝘭𝘴 𝘣𝘦𝘩𝘪𝘯𝘥 𝘵𝘩𝘦 𝘴𝘤𝘦𝘯𝘦𝘴." The essay explores how AI-powered tools could break away from 𝘀𝘁𝗮𝘁𝗶𝗰 𝗺𝗲𝗻𝘂𝘀, 𝗿𝗶𝗴𝗶𝗱 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀, 𝗮𝗻𝗱 𝗼𝗻𝗲-𝘀𝗶𝘇𝗲-𝗳𝗶𝘁𝘀-𝗮𝗹𝗹 𝗶𝗻𝘁𝗲𝗿𝗳𝗮𝗰𝗲𝘀. Instead, AI could dynamically generate 𝗰𝘂𝘀𝘁𝗼𝗺 𝗳𝗲𝗮𝘁𝘂𝗿𝗲𝘀, 𝗶𝗻𝘁𝗲𝗿𝗳𝗮𝗰𝗲𝘀, 𝗮𝗻𝗱 𝗲𝘃𝗲𝗻 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀 𝗯𝗮𝘀𝗲𝗱 𝗼𝗻 𝘄𝗵𝗮𝘁 𝘆𝗼𝘂 𝗻𝗲𝗲𝗱 𝗶𝗻 𝘁𝗵𝗲 𝗺𝗼𝗺𝗲𝗻𝘁. It’s a bold rethink of what "design software" even means. Patrick was part of the Designing with Artificial Intelligence conference I co-organized back in 2020—way before the AI hype wave. His depth of knowledge in this field is incredible, and this essay is packed with 𝗯𝗶𝗴 𝗶𝗱𝗲𝗮𝘀 𝗮𝗯𝗼𝘂𝘁 𝗔𝗜, 𝗱𝗲𝘀𝗶𝗴𝗻, 𝗮𝗻𝗱 𝘁𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗰𝗿𝗲𝗮𝘁𝗶𝘃𝗲 𝘄𝗼𝗿𝗸. 🔗 𝗛𝗶𝗴𝗵𝗹𝘆 𝗿𝗲𝗰𝗼𝗺𝗺𝗲𝗻𝗱𝗲𝗱 𝗿𝗲𝗮𝗱 (but set aside some time—it's not a quick skim!): https://lnkd.in/duy6Nhu8 #AI #UX #UXDesign #Design #DesignTools #FutureOfWork #UXLeadership #AIInnovation #Creativity Virtual Identity

Top 6 AI tools for design & workflow in 2026 👇 Yes, not all of them are “design tools.” Yes, that’s exactly the point. I spent time exploring tools beyond just UI screens… Because real product work is not just design anymore. It’s workflows. Automation. AI orchestration. Here are 6 that actually matter right now: 1. Paperclip AI https://lnkd.in/dXkCrnbe Local-first AI for organizing research, notes, and work items. But it goes deeper. It acts like an orchestration layer for AI agents. Goals. Budgets. Audit logs. Agent “heartbeats.” If you deal with messy research or multi-step thinking, this is insanely powerful. 2. Flowstep https://flowstep.ai Prompt → UI designs. It generates wireframes and full interfaces on an infinite canvas. You can iterate fast. Refine layouts. Explore ideas visually. Feels like Figma + AI had a smarter child. 3. Moonchild AI https://moonchild.ai Turn PRDs into actual UI screens. It helps with: User flows UX problem solving Moodboards Design systems This is not just generation. It’s structured product thinking. 4. Dify https://dify.ai Visual builder for AI apps. Drag. Drop. Deploy. You can create: Chat apps Text-generation tools Custom AI workflows If you ever wanted to ship your own AI product without heavy coding, start here. 5. Flowise https://www.flowise.io Low-code builder for LLM workflows. Think: Connecting multiple models Creating agent flows Shipping APIs fast Great for prototyping AI features inside real products. 6. n8n https://n8n.io Automation on steroids. Connect apps. Trigger workflows. Automate repetitive ops. Designers ignore this. Smart designers don’t. Because real impact = design + systems. Here is the shift most designers are still missing. The future is not just UI design. It’s: Design + AI Design + automation Design + systems thinking Tools like Flowstep and Moonchild help you design faster. Tools like Dify, Flowise, and n8n help you build smarter. And tools like Paperclip help you think better. AI will not replace designers. But designers who understand workflows will replace designers who only push pixels. Use these tools for: Speed Exploration Systems thinking Execution Not just aesthetics. Because in 2026… The best designers are not just designing screens. They are designing how things work. If you had to pick ONE tool to explore this week, Which one are you trying first?

"Graphic design is dead" they said. AI just killed another industry. But after 18 months creating with AI tools daily? The opposite is true. Design isn't dying. It's evolving at warp speed. Yesterday's workflow: ☒ 3 hours sketching concepts ☒ 2 hours in Photoshop ☒ 1 hour tweaking colors ☒ Endless client revisions Today's AI-powered reality: ☑︎ 20 concepts in 20 seconds ☑︎ Instant color palettes ☑︎ One-click variations ☑︎ Real-time collaboration Here's what most people miss about AI design: AI handles output. You handle outcomes. Tools like Ideogram can generate 100 logos. ↳ But which one tells your brand story? Adobe Firefly creates perfect palettes. ↳ But which one triggers the right emotion? Figma AI builds responsive layouts. ↳ But which one guides user behavior? The gap between AI output and human insight? ↳ That's where designers thrive in 2025. My AI + Design workflow: 1 → Start with strategy What problem are we solving? AI can't answer this. You can. 2 → Generate variations fast Prompt: "Modern tech logo, blue accent, minimal" Get 20 options in seconds. 3 → Curate with taste Pick 3-5 that align with brand values. Your eye matters more than ever. 4 → Refine with precision Take AI drafts into your core tools. Add the human touches AI misses. 5 → Test with real users AI can't predict emotional response. Only humans understand humans. The tools crushing it right now: ✦ Ideogram – Logo concepts at light speed ✦ Midjourney – Brand visuals that pop ✦ Adobe Firefly – Integrated AI magic ✦ Canva Magic – Templates on steroids ✦ ChatGPT – Concept art instantly Lazy designers? Yes, they're toast. Strategic designers? They're 10x more valuable. Clients don't pay for pixels. They pay for: • Visual strategy • Brand coherence • Cultural context • Emotional impact AI can't hop on a discovery call. AI can't understand business goals. AI can't feel what resonates. The new designer toolkit isn't just Adobe anymore. Now it's: → Prompt engineering → AI tool mastery → Strategic thinking → Rapid iteration → Human insight The best designers won't fight AI. They'll ride it like a rocket. More output. Better strategy. Happier clients. The creative process just got an upgrade. And designers who embrace it will thrive. Graphic design isn't dead. It just learned to fly. Follow Charlie and Sana for more AI insights. ♻️ Repost if AI is changing how you create.

My agency quoted me $50K for product photography. So I built an AI workflow that does it for $0.03 per image. Last month, an e-commerce client was drowning in product photo costs. They needed 500+ lifestyle shots for their new catalog. - Agency quote? $50,000. - Timeline? 6 weeks. - Drama level? Through the roof. So I built them an n8n automation that generates unlimited product variations in 48 hours. Here's the breakdown: → Reference scenes: Uploaded to Google Drive folder #1 → Product photos: Dropped into folder #2 → AI magic: Automatically combines every possible variation → Output: Professional lifestyle shots saved back to Drive The results blew my mind: → 500+ product images generated → Total cost: $15 (AI processing) → Time saved: 5.5 weeks → Agency tears: Countless But here's what REALLY matters for e-commerce: ✅ Test 100 different scenes to find what converts ✅ A/B test product angles without reshoots ✅ Create seasonal variations instantly ✅ Scale to 10,000 SKUs without hiring One client told me: "We tested 47 different background styles in one weekend. Our conversion rate jumped 23% when we found the winner." No photographers. No studio rentals. No "creative differences." No waiting. Just product images that actually sell. The workflow is stupid simple: → Drop reference scenes in folder A → Drop products in folder B → Let the automation run overnight → Wake up to hundreds of professional shots This isn't about replacing creativity. It's about testing faster, scaling smarter, and focusing your budget on what actually moves the needle. –––––––––––––– 💡 Want to build this for your brand? I'm sharing the complete n8n workflow for free just FOLLOW and COMMENT "PRODUCT" below. (Includes setup instructions + my best prompt templates for different product types) P.S. What repetitive creative task is eating your budget? Drop it in the comments – might be the next workflow I build 👇

AI offers an opportunity to challenge the logic of your industry by challenging the logic of how work is organized within it to create value. My latest HBR article - which also previews one of four new chapters in the second edition of Reshuffle out this summer - digs beneath the easy, surface-level stories about technology and shows how real competitive advantage emerges from rethinking how work itself is organized. --- Figma's success against Adobe is often explained in terms of collaboration and better UX. If that was all there was to it, why couldn't Adobe simply copy it? New technologies challenge incumbents because they make it possible to change the architecture of work itself - specifically, the unit of work and the way work is coordinated. Adobe's business was structured around the logic of the file as the unit of work and sequential handoffs of the file as the basis of coordination. Figma shifted the unit of work from files to shared, reusable design components and coordinated everyone around a single live design state - effectively a constantly updating graph of those components and their relationships. This had 3 important effects: 1. Design governance could be built-in and continuous rather than inspected after, because individual components could be governed across the org. 2. Coordination costs collapsed, since teams no longer spend energy reconciling versions or chasing changes. 3. The design system, not any individual designer, became the real asset that captured learning across the organization. --- The most consequential impact of AI is not that it makes existing tasks faster, but that it makes different architectures of work possible by shrinking the unit of work and enabling new forms of coordination. Organizations that simply layer AI onto legacy workflows will inherit their old constraints, while those that redesign how work is divided, sequenced, and governed can unlock new fundamentally different ways of competing. In fashion, Shein shows this by shrinking the unit of work from a seasonal collection to a testable product concept and coordinating design, production, and demand in a continuous AI-mediated loop rather than the seasonal calendar. Incumbent fashion houses can add AI to forecasting or sketching, but because they keep the seasonal workflow and its approvals intact, they cannot compete with Shein’s radically different, experiment-driven way of working. --- Our workflows determine not just how work gets done inside firms, but also the broader logic for how the industry creates value and competes. When new technologies arrive, companies can use them to speed up existing workflows and preserve that inherited logic. The real opportunity, though is to reimagine how work is structured, and in doing so, to challenge the dominant logic of the industry. Link to the article: https://lnkd.in/dcQQCz3S

The next big thing in Generative AI in 2025 and beyond? Not a tool, but a fundamental shift in how we can approach design 🖼️. Enter Semantic Design, a new paradigm where meaning drives the creative process rather than the medium. 🌌 Instead of working in siloed AI tools and disconnected workflows, this approach uses a unified semantic layer known as the 'Latent Space' , where text, visuals, and video exist as vectors, letting us blend and remix concepts, styles, and even customer insights without losing their core essence. ♾️ Beyond transforming brand elements, this interconnected space can also reveal patterns between datasets and across mediums humans wouldn’t even notice—each discovery becoming a bridge between imagination & creation . 🤖 The Brand Engine prototype below demonstrates this semantic approach in action. What looks like simple background generation is actually revealing 'hidden' connections between aesthetics, user behavior, and brand expression—showing how “meaning” flows across traditional creative boundaries. ♾️ On a practical level, this shift means faster prototyping, tighter brand alignment, and a new level of fluid collaboration between design, marketing, and product teams—all thanks to the semantic layer that keeps everyone in sync . ⭕ I believe this ability to collapse the distance between different types of meaning—what I call 'the Shortening of the Way'—will fundamentally reshape what it means to be a designer or art director. While “pure” designers who can think platform and tool-agnostic remain more important than ever, I’m seeing the rise of a new type of creative generalist—someone who understands the nuances of creative workflows and knows how to leverage AI models effectively. 🧑💻 For them, understanding how LLMs ‘think’ and diffusion model ‘dream’ will be as fundamental as understanding color theory or composition—not to become ML scientists or Python developers, but to move beyond prompting and truly shape these models' creative potential. My thoughts about this are still evolving, and I’m still figuring out how deep a generalist’s knowledge should go. That said, I haven't been this excited about something in a long time, and I'm very grateful to witness this creative revolution unfold here at Loop Earplugs. Would love to have some IRL discussion about this so let's meet up!