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

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.

Feeling stuck in repetitive business tasks? This 14-step roadmap shows you exactly how to automate your business using AI — from planning and prompting to customer support, marketing, and team operations. Each step is paired with tools, goals, and clear advantages so you can launch smarter systems without writing a single line of code. Step 1: Set Clear Business Goals Use visual mapping tools like Notion AI or Miro to define what needs automation — marketing, lead gen, or support — so AI brings real impact, not fluff. Step 2: Identify Your Repetitive Tasks Tools like Google Sheets or Trello help list recurring work. This becomes your automation launchpad for the highest ROI. Step 3: Choose Your Core AI Tools Pick a flexible stack — ChatGPT, Claude, Make .com, Airtable — to handle writing, data, or workflows without development bottlenecks. Step 4: Learn Structured Prompting Master prompt writing with ChatGPT using Role + Goal + Context + Format. Get 3x better output with less cleanup. Step 5: Build Your First Custom GPT Assistant Use ChatGPT Pro’s GPT Builder to create AI assistants tailored to your tone, goals, and daily tasks. Step 6: Automate Content Creation Create blogs, social posts, and product copy using ChatGPT, Jasper, or Copy.ai. Keeps your brand voice strong and output consistent. Step 7: Automate Lead Generation & Emails Tools like Instantly. ai and Lemlist run cold outreach while you sleep — nurturing leads without manual follow-up. Step 8: Use AI for Hiring & HR Automate job descriptions, screening, and interviews using tools like TestGorilla and Hirelogic for faster, smarter hiring. Step 9: Set Up AI-Powered Customer Support Tools like Tidio or Intercom Fin let you build 24/7 chatbots that handle common support questions — no extra team needed. Step 10: Set Up Internal Workflows Use Make.com or Zapier to connect your backend — invoices, Slack messages, data sync — and eliminate follow-up chaos. Step 11: Add AI Analytics & Insights Turn raw data into dashboards with Tableau + GPT or MonkeyLearn to guide decisions without hiring a data analyst. Step 12: Automate Calendar & Scheduling Save time with AI tools like Calendly or Motion that auto-book meetings, send reminders, and remove scheduling headaches. Step 13: Create SOPs & Train Your Team Tools like ScribeHow or Tango document your AI workflows visually — making it easy for your team to follow, even if you’re away. Step 14: Set AI to Monitor Your Business Use tools like Feedly AI or Notion alerts to stay on top of trends, performance, and feedback — and act before problems snowball. ✅ Save this guide and start small — even automating one step can save hours. [Explore more in the post] Follow Denis Panjuta on Linkedin : https://lnkd.in/eUHjTBUi

Being creative with AI isn't a talent—it's a skill you build through deliberate practice. Here's what I've learned about making AI a powerful creative partner: 🛠️ Set yourself up for success: Make AI accessible everywhere. Pin it in your browser, add it to your sidebar, install the Raycast extension, and get the mobile app. The key is reducing friction. When AI is one click away, you'll use it more often and learn faster. 🧠 Rewire your habits: Whenever you reach for Google, try AI instead. Same goes for repetitive tasks like writing emails, filling in spreadsheets, doing research, and drafting content. Over time, you'll develop an intuition for what AI excels at and where it’s better to use another tool. 🎯 Think of AI as a focused collaborator: Ai is best at handling one clear task at a time. Don't dump ten requests into one prompt. Instead, give clear, specific instructions with relevant context and an example of what you want. Iterate from there. This is why "GPT columns" are so powerful—you can repeat the same prompt multiple times, tweaking just one variable to get different outputs. 💡 Pro tip: Break complex tasks into smaller chunks. Instead of asking AI to reinvent your entire workflow, start with one piece. Perfect it. Then move on to the next. The practices above have helped me do a *ton* more in the last 30 days, for way less effort. Here are some of the use cases I’ve seen the best results for: 📝 Generated email patterns for domain research 💓 Calculated threshold heart rates from workout data 🧠 Crafted witty website copy 🧑💻 Debugged command line errors 📅 Built a Raycast command for calendar management ⛰️ Solved API integration challenges The power of AI isn't in occasional brilliant insights—it's in the daily practice of finding new ways to leverage it to make your life easier. 🚀 If you’ve been practicing with AI lately, what has been your biggest lesson learned so far? For folks who haven’t meaningfully practiced with it yet, what repetitive task is the biggest time–or soul–suck on your plate today? Do you think you could hand it off to AI? Also - special shout out to Visual Electric for the image for this post. It's been a fun creative outlet to play around with their tool as well.