AI Tools For Streamlining Creative Workflows

Is ChatGPT the only AI tool in your workflow? You might be making things harder than they need to be. ChatGPT is probably the only AI tool most people use. And I get it. It's good. It's easy. It does a lot. But if that's where you stop, you're leaving a lot on the table. I've spent a lot of time testing different AI tools for how I work, think, and create content. What I've realized is that ChatGPT is a generalist. It can do many things reasonably well. But for specific tasks, there are tools that do them better. Here are 6 I keep coming back to: 1️⃣ Research → Perplexity ↳ ChatGPT with a live connection to the internet. ↳ Cites sources, gives context, surfaces trends. ↳ I use it for strategy, validation, and staying current. 2️⃣ Long-form writing → Claude ↳ Handles longer documents without losing the thread. ↳ Picks up tone quickly. Reads nuance well. ↳ Better for thought leadership and anything requiring voice. 3️⃣ Presentations → Gamma ↳ Paste your content and it builds clean slides in seconds. ↳ Formats and styles automatically. ↳ Useful for pitches, proposals, and internal decks. 4️⃣ Video Repurposing → Opus Pro ↳ Turns long videos into short, ready-to-post clips. ↳ Finds the strongest moments automatically. ↳ Great for getting more out of podcasts and webinars. 5️⃣ Voice & Dictation → Wispr ↳ Real-time transcription that actually keeps up. ↳ Learns how you speak over time. ↳ I use it between meetings or when ideas hit mid-walk. 6️⃣ Visual Creativity → Midjourney ↳ Still the standard for quality and consistency. ↳ Good for brand concepts, moodboards, creative direction. ↳ Faster than explaining what you want to a designer. ChatGPT is powerful. But it's a starting point, not the whole toolkit. The way I think about it: Use the right tool for the right job. These six sit at the centre of how I work now. What's in your AI stack? 📷 Image credit: Paul Evans ♻️ Share this with someone still relying on one tool. Follow me, Francesco Gatti, for more on ecommerce and AI.

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

What’s actually in your AI tool kit? 🤖✂️ There’s more to creative AI than ChatGPT, so let’s talk about the stack that really powers my work. Curate, don’t accumulate. New tools launch weekly, and it’s easy to sign up for everything. But spreading yourself thin across too many platforms can dilute your workflow and drain your energy. ChatGPT is the gateway, not the destination. It’s one of the most accessible entry points to AI, but it’s designed as a generalist. If you’re serious about design or storytelling, look for platforms that specialise in the specific tasks you need, whether that’s sketch generation, 3D visualisation or video editing … and master them. Why it matters: Platforms come and go, but your ability to select the right tools and master them will set you apart. It’s not about using every AI out there; it’s about choosing a few that truly enhance your craft and diving deep into them. A few standouts I use on the daily: • Style3D AI – a 3D garment simulation and pattern‑making tool that lets you prototype fits, fabrics and drape in a realistic environment. It’s purpose‑built for fashion, helping you test designs before you ever cut fabric. • Midjourney – a text‑to‑image engine that excels at generating atmospheric mood boards and concept art. Its strength is in creative exploration rather than precise replication. • Resleeve – an AI platform tailored to fashion design, which turns prompts into swatches, prints and garment mock‑ups. It’s particularly useful for visualising knitwear and textures early in the process. • Raspberry AI – a user‑friendly AI that generates polished product visuals from simple descriptions. Perfect for quickly iterating on colours, materials and style variations. • Higgsfield AI – an AI video tool that transforms sketches into dynamic clips and offers built‑in camera moves, character consistency and upscaling. Ideal for creating shareable mini‑films without traditional editing software. Now I’m curious: What are the three AI tools you couldn’t live without?  Drop them in the comments and tell me why! #AITools #CreativeWorkflow #DigitalFashion #FocusAndMastery #AIInnovation #AI #FashionAI

More AI tools won’t fix your content. A better setup will. One of the biggest causes of AI overwhelm I see is people jumping from tool to tool, hoping the next one will magically make things easier. What works far better is having a small, intentional AI toolkit where each tool has a clear role and fits into a wider workflow. Here’s what I actually use for social media content creation and client work. → ChatGPT This sits at the centre of my workflows. I use it to map processes, streamline repeatable tasks, repurpose content efficiently, and reduce the time spent starting from scratch. It helps turn ideas, notes, and long-form content into structured outputs that can actually be used. → Nano Banana Used for creating AI visuals when I want something more creative than standard stock imagery. → Perplexity Great for research, summaries, and sense-checking topics when I want clarity and sources. You can do research in ChatGPT too, but this is my preference when I’m in research mode. → Opus Clips Used to identify strong moments, cut clips efficiently, and then refine them with human judgement so they fit the brand and platform. → Fathom This captures meetings, pulls out key insights, and helps turn client conversations into content ideas without relying on memory or messy notes. The tools themselves aren’t the value. The value is knowing how to use them together to save time, reduce friction, and still produce work that’s thoughtful and on brand. You don’t need every AI tool. You need the right few, used with purpose. P.S. This is exactly the kind of thing we’ll be covering at From WTF to Ninja, our one-day, face-to-face event with me and Susie. Clear AI choices, simple workflows, and using AI without the overwhelm. https://lnkd.in/eth5vQva

Most AI tool lists miss the point. The advantage doesn’t come from knowing more tools. It comes from knowing where they fit in your workflow. Right now most people use AI like this: → Try a tool → Generate something → Move on No structure. No repeatability. So the productivity gains stay small. The real leverage appears when you treat AI tools like a stack, not a collection of apps. Almost every modern AI workflow fits into four layers. If you understand these layers, you can build systems that run every week without starting from scratch. 1️⃣ Thinking layer Tools that help you clarify problems and structure ideas. → ChatGPT → Claude Use them to: → research unfamiliar topics → break down complex problems → outline strategies and plans → stress-test ideas before execution Most people jump straight to creation. The real value often starts one step earlier: better thinking. 2️⃣ Creation layer Tools that turn ideas into assets. → writing tools (Jasper, Writesonic) → design tools (Canva AI, Flair) → image tools (Midjourney, DALL-E, Stable Diffusion) → video tools (Runway, HeyGen, Synthesia) This layer turns raw ideas into: → presentations → visuals → videos → marketing assets → documentation Think of it as production infrastructure for knowledge work. 3️⃣ Automation layer Tools that connect steps together. → Zapier → Make → Bardeen Instead of repeating tasks manually, these tools: → move information between systems → trigger actions automatically → remove repetitive work Example: Research → draft → create visuals → publish. Automation turns that into a repeatable pipeline. 4️⃣ Deployment layer Tools that deliver work to customers and teams. → websites (Framer, Durable) → chatbots (Chatbase, SiteGPT) → marketing tools (AdCreative, Simplified) This is where work becomes: → websites → marketing campaigns → customer experiences → digital products Without deployment, great AI output never reaches the real world. If you run a business or lead a team, here’s a simple playbook. Step 1 Pick one tool per layer. You don’t need ten tools doing the same job. Step 2 Design one repeatable workflow. Example: → research with ChatGPT → draft content → create visuals in Canva → automate publishing with Zapier Step 3 Automate the steps that repeat every week. Anything you do more than three times should become a system. Step 4 Improve the workflow over time. Small improvements compound faster than constantly switching tools. The people getting the most value from AI right now are not the ones testing every new tool. They are the ones building simple systems that run every day. Tools will change. Workflows compound. 💾 Save this if you’re building your AI stack. ♻️ Repost to help others move from experimenting with AI to actually using it in their work. ➕ Follow Gabriel Millien for practical insights on AI execution and building real leverage with AI. Image credit: Aditya Goenka

Feeling overwhelmed by the flood of AI news and new tools? You're not alone. The AI ecosystem isn’t just evolving. It’s exploding. New applications are reshaping how we work in real time. Over the past few months, I’ve watched my own workflows (and those of many peers) transform, boosting productivity with tools that didn’t even exist a year ago. To help make sense of this fast-moving landscape, I’ve categorized a list of curated AI tools based on relevant use and application. I’ve personally explored the majority of these. Some are now part of my daily workflows, and it’s been incredible to see how they’re changing the way we strategize, plan, and execute. 𝟭. 𝗦𝗺𝗮𝗿𝘁𝗲𝗿 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻 𝗧𝗼𝗼𝗹𝘀 We all know ChatGPT, but there’s a growing family of conversational AIs that generate contextual content with impressive strength. 𝗘𝘅: ChatGPT (OpenAI), Claude (Anthropic), Gemini (Google), Grok (X) 𝟮. 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 & 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗧𝗼𝗼𝗹𝘀 These tools excel at finding, summarizing, and structuring insights. Think of them as your on-demand research or organizing assistants. 𝗘𝘅: Perplexity, DeepResearch by OpenAI, Google NotebookLM, Notion AI 𝟯. 𝗖𝗿𝗲𝗮𝘁𝗶𝘃𝗲 𝗧𝗼𝗼𝗹𝘀 For image, video, and audio generation, these tools unlock stunning creative control with just a prompt. 𝗘𝘅: Midjourney, DALL·E, Adobe Firefly, Figma, HeyGen, Google Veo, Gamma 𝟰. 𝗩𝗶𝗯𝗲 𝗖𝗼𝗱𝗶𝗻𝗴 𝗧𝗼𝗼𝗹𝘀 My personal favorite: These tools turn ideas into visual drafts in minutes. From code to UI mockups, they help teams move from debate to decisions to momentum faster. They turn abstract ideas into visual drafts, backed by supporting code. 𝗘𝘅: Replit, Lovable, V0, Cursor 𝟱. 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗦𝘁𝘂𝗱𝗶𝗼𝘀 Empower developers and non-developers to create custom AI agents and automate workflows, without writing code. 𝗘𝘅: MindStudio, n8n, Lindy, Langflow, Crew.ai, LangGraph 𝟲. 𝗔𝗜 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗦𝗗𝗞𝘀 Full IDE development frameworks, from SOPs to prompt templates to orchestration, deployment, and monitoring capabilities. 𝗘𝘅: LangChain, LlamaIndex, Autogen, MCP, A2A 𝟳. 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 Industry-specific or enterprise tools embedded into business applications to build intelligent agents for tasks like case summaries, lead scoring, knowledge agents, and more. 𝗘𝘅: Salesforce AgentForce, Microsoft Copilot for Business, Writer, You.com I’m still learning and exploring, but many of these are now baked into my daily work. And the more I explore, the more value I find. What else would you add to this list? ___ If you’re curious to see these tools in action and want to try building your own AI agents (no coding needed!), come join us. We’re hosting a 𝗵𝗮𝗻𝗱𝘀-𝗼𝗻 𝗔𝗜 𝗕𝘂𝗶𝗹𝗱𝗲𝗿 𝗪𝗼𝗿𝗸𝘀𝗵𝗼𝗽 𝗼𝗻 𝗙𝗿𝗶𝗱𝗮𝘆, 𝗔𝘂𝗴𝘂𝘀𝘁 𝟭𝘀𝘁, where we’ve distilled months of AI learning into just 4 hours! Check out the details here - https://lnkd.in/eMU6nFJV

AI didn't take my job... It helped me get promoted. It also came up with that hook. 🤖 Now that I know you are invested in learning about AI, I want to show you some tools I am using to maximize my efficiency in my new fractional remote role. Like most people, I used to juggle countless apps, lists, and notes, only to end my day feeling overwhelmed and underproductive. But integrating AI into my workflow has completely changed the game. Here's the 3 tools that I currently use the most: Notion.so : Organize & Streamline Notion: Effortlessly structures my ideas, projects, and plans in one cohesive space. UseMotion.com : Prioritize & Schedule Motion: Transforms chaotic task lists into clear, prioritized schedules, reducing stress and boosting productivity. The automatic scheduling and rescheduling of tasks, directly into my Google Calendar has been incredibly powerful. Here in the next couple weeks I plan on integrating several more members of my Heron Labs team into the app as well so that all of our projects and tasks are immediately visible to eachother. No more back and forth emails trying to schedule a call. (A note here, Google Calendar recently rolled out a new native feature for scheduling calls based on your calendar that works really well too) ChatGPT.com : Create & Inspire ChatGPT: Fuels my creativity, quickly turning rough ideas into polished content and captivating visuals. By delegating routine decisions and overcoming creative roadblocks with AI, I've been able to assume more professional responsibilities without sacrificing personal family time or neglecting my farm/homestead chores. Time is my most valuable resource. AI tools help me me spend it wisely. How are you leveraging AI to optimize your time?

You're not drowning in work. You're drowning in workflows that refuse to evolve. Most teams don’t need to hire more people. They need to hire better systems. In the past 6 months, I’ve tested dozens of AI tools. Not the hyped ones. The quiet, workflow-killing ones. Here’s what I found: If you combine just 5 tools, you can automate 60–80% of your operational grind. 📌 Here’s my current stack for deep automation: Fireflies.ai – AI Meeting Intelligence → No more writing notes, creating follow-ups, or guessing action items. It listens, tags, and updates your systems. Automatically, for seamless collaboration and topic tracking. Cursor – AI-native code editor → Debugs, explains, and refactors on the fly. Like pair programming with a genius that never sleeps.   Bardeen – Workflow automation without code → Scrapes data, fills sheets, books meetings. Think Zapier, but smarter and more contextual.   Perplexity AI – Research co-pilot → Cuts 30-minute Google rabbit holes into 3-minute clarity. Best for teams needing real-time, referenced insight.   Notion AI – Your team's second brain → Drafts project outlines, summarizes meetings, ideates content. Paired with templates = project management on steroids. These tools don’t replace your team. They amplify them. They remove digital duct tape and create time for strategy, not admin. 💡 And the real unlock? It’s not knowing these tools exist. It’s knowing how to stack them smartly into your workflow. That’s where most companies stall. If you're leading a team or scaling a product: Start automating like you're understaffed—even if you're not. Curious: Which AI tools have actually saved you time? Let’s build a shared list in the comments 👇 🔁 Repost to help teams escape the busywork trap. Follow me for tactical AI strategies that scale.

How We’re Using AI Tools Like V0 to Turn Weeks of Work into Hours Let me share how we’re supercharging various workflows with AI tools like V0—not just to save time but to build leverage that makes every step smarter and faster. Manoj DM was working on improving the search and filtering feature on a page listing "Sexologists in a locality." Normally, this would mean hours of design, back-and-forth iterations, coding, and testing—a process that easily takes several days, sometimes even weeks. But instead of doing it the old-fashioned way, Manoj DM tried a tool called V0. It’s an AI-powered platform that helps you generate multiple design options quickly. In one hour, v0 from Vercel helped us generate three responsive, production-ready designs—clean, functional, and ready to go live. Next, we’re using Keak, an AI-driven A/B testing tool, to identify the best-performing design for our users. This would let us learn what’s effective much faster than usual. If you’re on the sidelines wondering about AI, tools like V0 can help: - Save time: Automate repetitive tasks like coding and designing. - Experiment faster: Test ideas quickly to identify what works. - Work smarter: Focus on strategy and creativity while AI handles the groundwork. - Amplify outcomes: Achieve efficiency without sacrificing quality. Will AI Do Everything? Maybe someday, but right now, it needs you to make it work effectively. Here’s how to put AI to use properly: - Start with the right problem: Focus on areas where AI can save time or amplify results, not where it overcomplicates things. - Keep humans in the loop: Use AI as a collaborator, refining its outputs with creativity, intuition, and context. - Bridge the gaps: AI can’t do everything yet—it needs human oversight to ensure alignment with goals and values. - Think of AI as leverage: It’s a tool to work smarter and faster, not a magic wand to replace effort. Just to summarise: AI isn’t magic—it’s a tool. When used wisely, it helps you supercharge workflows, build leverage, and deliver real impact.  The best outcomes come from combining AI’s strengths—speed and scale—with human expertise to create real impact. #ArtificialIntelligence #AIInAction #FutureOfWork