Creative Task Automation

100+ tools is noise until you map each to a single job Start with the problem, not the tool Writing and editing • Draft: ChatGPT, Claude • Tighten and paraphrase: Grammarly, QuillBot • Scale copy: Jasper, Copy.ai Tip: measure output quality with a small A/B test on click or reply rates before rolling out. Presentations and storytelling • From outline to deck: Gamma, Tome, Pitch, Beautiful.ai • Add charts: Flourish, Visme • Keep slides current with notes: Notion, Tettra Tip: pair an outline-first workflow with one deck generator to avoid endless style tinkering. Images and creative assets • Concept exploration: Midjourney, Ideogram • Brand-safe and editable: Adobe Firefly, DALL-E, Recraft • Quick UI mocks: Uizard, Framer Tip: lock brand prompts and aspect ratios. Reuse prompt blocks to keep consistency across campaigns. Video for demos and promos • Fast scenes: Runway, Pika, Luma • Longform planning: LTX Studio • Edit and captions: Descript Tip: create a 60-90 second master video, then cut vertical clips. Draft scripts with your writing stack before touching video. Coding and data work • Code assist: GitHub Copilot, Cursor, Tabnine • Lightweight apps and agents: Replit • Data tables and formulas: Gigasheet, Rows AI, Formula Bot Tip: standardize on one code assistant per repo. Add unit tests for any generated function. Meetings to insights • Record and summarize: Fellow - AI Meeting Assistant, Otter, Fathom, Fireflies, Avoma • Noise control and turn-taking: Krisp, Equal Time Tip: define a notes template. Auto-push action items to your task system within 10 minutes after each call. Email and outreach • Inbox triage: Superhuman, Shortwave • AI replies and sequences: MailMaestro, Gemini for Workspace, Microsoft Copilot Tip: limit to two tones. Track positive reply rate, not send volume. Automation and glue • No-code flows: Zapier, Make, Integrately • Open-source flows: n8n • Scheduling: Calendly, Reclaim, Clockwise, Trevor AI Tip: start with one automation per team that saves at least one hour a week. Review monthly for drift. How to pick the right tool • Data fit: does it connect to your notes, CRM, or repo without hacks • Governance: role-based access, audit logs, admin controls • Cost clarity: per seat, per run, or token based • Exit plan: can you export prompts, assets, and history if you switch later Two sample stacks you can copy • Creator workflow: ChatGPT or Claude for drafts → Gamma for slides → Runway for short videos → Descript for captions → Zapier to post and archive. • GTM workflow: Gemini or Copilot in inbox → MailMaestro for replies → Avoma for call notes → Rows AI for quick analyses → Make to sync CRM fields. The carousel has the full list by category so you can build your own stack. Save it and map one tool to one job, then add only when a clear gap shows up.

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

THIS CHANGES EVERYTHING. 🤯 Multiple design AI agents working TOGETHER to design a thing in seconds. Yesterday I was on a private call with a group of creatives. We were talking about where AI creative is headed. And I said this exact thing: "The next leap isn't better models. It's multiple agents each with a job description, working together. In parallel. On the same canvas. Like a design team — without the coffee breaks or Slack threads." 24 hours later: SWARM mode. A team of AI design agents. Working in parallel. In real-time. On the same canvas. Your own autonomous design agency. I've been doing this for 3+ years. I've watched every tool drop. Every "revolutionary" update. Most of them are incremental. Nice, but incremental. This is not incremental. THIS IS THE ARCHITECTURAL SHIFT. Let me explain what just happened: Until now, AI creative tools have been single-player. You prompt. You wait. You get output. You prompt again. One agent, one task, one canvas. SWARM mode obliterates that model. Multiple agents. Same canvas. Same project. Working simultaneously on different parts of a design -or iterating on the same element from different angles. They collaborate. They build on each other's work. In real-time. This is how human design teams work. Except now it's AI. And it doesn't sleep. WHAT THIS MEANS FOR DESIGNERS: Your job shifts from pushing pixels to directing the swarm. You're the creative director of an AI team. Your taste, your eye, your judgment — that's what matters. The execution? That's handled by agents working faster than any human team ever could. WHAT THIS MEANS FOR AGENCIES: Remember when I said agencies need to match creative firepower to creative complexity? This is the tool that makes it happen. Your senior creatives focus on the big ideas. The swarm handles the systematic work. The "little bit creative" stuff I talked about yesterday? This is how you scale it to infinity. WHAT THIS MEANS FOR THE CREATIVE INDUSTRY: The single-designer-at-a-computer model is dead. The one-prompt-one-output workflow is obsolete. We're entering the era of orchestration. Not "using AI" — directing AI teams. The people who figure out how to orchestrate swarms will build agencies that operate at significantly higher capacity than traditional shops. Same headcount. Dramatically different output. I've been saying this for months: the future of creative isn't AI replacing humans. It's talented humans directing AI tools & armies. SWARM mode is the first real implementation of that vision. And it just went live. I don't often say "you need to try this right now." But if you're in creative, design, or agency work? You need to try this right now. (link in comments) The architecture of creative work just changed. Adapt, and your agency will thrive. Ignore it, and you'll be left wondering what happened. I called it yesterday. Today it's real. The swarm is here. #FutureOfCreative #AIAgency #CreativeProduction #AIDesign

Claude enters creative software 🎨 Anthropic has introduced Claude for Creative Work, a new direction designed to bring Claude inside the tools creative professionals already use every day. This is no longer just about asking a chatbot for help outside the workflow. It is about an assistant that can work alongside software like Adobe, Blender, Autodesk Fusion, Ableton, Splice, SketchUp, Affinity and Resolume. 🧠 What I find interesting is that Anthropic states something very clearly: Claude does not replace taste, imagination or vision. And to me, that is the right starting point. AI should not take the place of the creative mind, but it can help expand what creatives are able to do, speed up certain phases and make larger-scale projects more accessible. ⚙️ The new connectors allow Claude to work alongside creative software. With Blender, it can interact with the Python API, analyze scenes, help create scripts and make complex setups easier to understand. With Autodesk Fusion, it can support the creation and modification of 3D models through conversation. With Splice, it can help music producers search royalty-free samples directly from the catalog. 🎬 On the Adobe side, the concept is also very strong: Claude can connect with more than 50 tools across the Creative Cloud ecosystem, including Photoshop, Premiere, Express and more. This means AI is starting to move from being a simple generator to becoming real operational support inside more structured creative processes. 🎛️ For people working in music, 3D, video, live visuals or design, this is an important direction. Claude can help explain complex features, write scripts, automate repetitive tasks, connect different tools and reduce the technical friction that often slows down the creative phase. 🔍 In my opinion, the point is not “Claude will do the work instead of creatives”. The point is different: creatives who learn how to use tools like these will be able to move more freely across disciplines. A designer can explore 3D, a motion designer can automate parts of the workflow, a music producer can speed up sound research, a filmmaker can manage assets, scenes and pipelines more efficiently. 💭 This is one of the most important shifts in creative AI: not separated tools, but systems that enter real workflows. The next challenge will not only be generating images, videos or music, but building environments where AI becomes an extension of the creative process. It does not replace vision, but it can make it broader, faster and more concrete. 📱 Want AI updates on WhatsApp? DM me “AI” and I’ll send you access. 🔔 Follow me for the last AI updates! #AInews #ClaudeAI #CreativeAI #AICreativity #GenerativeAI

The hardest part of paid ads isn’t launching one video. It’s producing hundreds of variations fast enough to win. Ecommerce teams and agencies already know this. Testing works. UGC works. Iteration works. But creative production becomes the bottleneck. That’s why 𝗩𝗶𝗱𝗲𝗼𝘁𝗼𝗸 stood out to me. Instead of helping you make a video, 𝗩𝗶𝗱𝗲𝗼𝘁𝗼𝗸 uses AI agents to automate creative production at scale from brief to hundreds of ad variations, on autopilot. Here’s what makes it different: • AI agents generate scripts, visuals, voiceovers, and edits • Create 100+ video ads in minutes, not weeks • Set your brand style once apply it everywhere • Real AI avatars with emotion control and consistent characters • Full creative control with a pro-level editor • 30+ languages for instant localization • Built for bulk A/B testing • Replace 10+ creative tools with one platform This isn’t “press a button and hope.” It’s automation with control. Brands like Bosch, Desigual, and Mondadori are already using it to keep up with testing cycles without burning creative teams. The insight behind the product is simple but powerful: The future of ads isn’t better targeting. It’s faster creative iteration. 𝗩𝗶𝗱𝗲𝗼𝘁𝗼𝗸 feels less like a video tool and more like a creative engine running in the background. → https://www.videotok.app/ They’re live on Product Hunt today - show them some support ❤️ → https://lnkd.in/gfnUrhxw If you work with ecommerce ads, performance marketing, or agency production - this is worth paying attention to.

I’ve seen hundreds of AI tools in marketing. Most of them promise automation. But very few actually connect data with creativity. That’s what caught my attention in this video about Omneky ’s AI. It’s not just another tool that schedules posts or generates random ads. It actually thinks before it creates. Here’s what makes it different: • Pulls real performance data from platforms like Meta, Google, and TikTok • Identifies which creatives, hooks, and formats are actually converting • Turns insights into ready-to-launch, brand-aligned creatives Instead of saying: “Let’s test 10 random ads and see what works.” It says: “Here’s what your data is telling you to build next.” That shift? That’s powerful. Because marketing shouldn’t be guessing. It should be intelligent iteration. And when everything happens in one place — create, optimize, approve, deploy — execution becomes faster, sharper. Curious to see how data-driven creativity actually works in real time? #AI #MarketingTech #PerformanceMarketing #Productivity

Adobe just announced Firefly AI Assistant. Last week I posted that Nvidia CEO, Jensen Huang, had explained AI as "software that uses software". When asked to predict how AI would impact traditional software businesses, Jensen said tools like Photoshop and Premiere would see a tremendous spike in growth because new AI assistants are able to help users do more powerful things with the software. This positions the user as less of an "operator" and more of a "director". That's not that different than how we've been using software all along. We decide what we want to create, we interact with a user interface, we click on tools and type in windows, we choose styles and colors - we direct a series of tools to perform underlying functionality that generates our desired output. AI assistants are just the next iteration of that process - only they're enabling us to direct at a higher level and not spend so much time figuring out the mechanics and bending the tools to our will. It's not just that we can move faster, it's that we can do things with the tools that we either didn't know how to do or took too long to do in the past. Today Adobe announced the Firefly AI Assistant. Instead of bouncing between Photoshop, Premiere, and Illustrator to execute a vision, you describe what you want. The assistant handles the tool-switching for you. Creative professionals spend so much of their time on production. Reformatting, exporting, adapting one asset into twelve variations. It's necessary work, but most of the value is in making the choices and decisions that lead to or result from the actual production work. When production work consumes the majority of the schedule, more compromises need to be made that impact the quality and impact that could be achieved. These AI assistants can change this. The real benefit is less about speed and more about being able to create more impactful work. When "software can use software", as Jensen said, our AI assistant can help us execute on the more sophisticated, complicated, and time-consuming production tasks. The new Firefly AI Assistant is just another step in the journey to enable creative people to execute on their creative vision. That's what Adobe has always done. Adobe's David Wadhwani calls this "the rise of the creative director," and I think he's right. The human is the one setting vision and making judgment calls, not the one dragging anchor points at midnight. Let me know what you think. This is just a step in the direction of helping creative people do more with AI. There's a long road ahead of us. https://lnkd.in/gxcEzFPw #CreativeAI #AdobeFirefly #AI #FutureOfWork #CreativeTools