AI Tools to Improve Workflow

I've cut my working time in half using AI tools. Not an exaggeration. Three years ago I was doing everything manually. Now roughly 50% of my workflow is automated or accelerated. I just published my full 2026 AI productivity stack. Every tool I actually use, with honest takes. Here's the list: *COMMUNICATION*  – Claude: replaced ChatGPT for all my writing. I built custom "skills" so it writes in my exact voice for LinkedIn, newsletters, and emails.  – Wispr Flow: desktop voice-to-text. 2-3x faster than typing. Once you try it, going back feels painful.  – Boomerang: auto-bumps unanswered emails back to the top of my inbox. Simple but saves me hours. *SOCIAL & NETWORKING*  – Claude Code + Notion MCP: my TikTok content engine. Researches topics, ranks ideas, generates scripts. Grew to 50,000 followers in 30 days with this  workflow.  – Kondo: LinkedIn inbox management. Tags contacts, sorts conversations. Makes LinkedIn DMs actually usable.  – Attio: my CRM. 50,000+ contacts with MCP integration so Claude can search and update it. *MEETINGS & FOLLOW-UPS*  – Granola: turns meeting notes into follow-up emails and longer content. Replaced an entire post-meeting workflow with one tool. *DAILY WORKFLOW* – Poke by The Interaction Company of California: my daily AI assistant. Reads my email, manages my calendar, schedules meetings, searches my inbox.  – Raycast: keyboard shortcuts for clipboard history, screenshots, downloads, notes. Tiny tool, massive time savings.  — Custom Claude Code agent: scrapes 100+ news sources every morning, ranks by my interests, sends me a briefing. Replaced 45 minutes of scrolling with a 5-minute read.  *BUILDING & DESIGNING* – Lovable: build websites and apps by describing what you want in plain English. I'm not an engineer. Doesn't matter. – Gamma: creates presentations, infographics, mockups. – Luma: product photography and mockups from text prompts. – FLORA: image and video generation. *EXPERIMENTAL STUFF I'M PLAYING WITH* – ElevenLabs: voice cloning. I built a customer service agent with my own voice. – Suno: AI music generation. Surprisingly good. – LemonSlice + HeyGen: AI avatar videos. Talking-head content without filming. – Zo Computer: My everyday all-in-one AI assistant – Perplexity Computer: Research and vibe coding specific apps on the go. The gap between people using AI well and people who aren't is getting wider every month. And 99.7% of the world still hasn't paid for a single AI service. Full breakdown with links and screenshots on my newsletter: www.andrew.today

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?

90% of AI tools create more work than they save. Last quarter, a Series A startup adopted 15 different AI tools. Productivity dropped 30%. Team spent more time managing tools than doing actual work. The problem wasn't AI. The problem was tool overload. Here are the only 7 AI tools worth using: Tool #1: ChatGPT (Writing & Research) What it replaces: Junior copywriter + research assistant. Time saved: 15 hours/week. Use for: First drafts, email responses, market research. Don't use for: Final copy, strategic decisions. Tool #2: Notion AI (Documentation) What it replaces: Manual note-taking and summarization. Time saved: 8 hours/week. Use for: Meeting notes, process docs, quick summaries. Don't use for: Creative writing, customer-facing content. Tool #3: Grammarly (Editing) What it replaces: Multiple editing rounds. Time saved: 5 hours/week. Use for: Email polish, grammar fixes, tone adjustment. Don't use for: Strategic messaging, brand voice. Tool #4: Otter.ai (Meeting Transcription) What it replaces: Manual note-taker or VA. Time saved: 10 hours/week. Use for: Recording calls, generating action items. Don't use for: Sensitive client calls without permission. Tool #5: Zapier AI (Workflow Automation) What it replaces: Manual data entry across systems. Time saved: 12 hours/week. Use for: CRM updates, lead routing, notifications. Don't use for: Complex logic requiring human judgment. Tool #6: Descript (Video Editing) What it replaces: Video editor for simple edits. Time saved: 6 hours/week. Use for: Podcast editing, removing filler words, transcripts. Don't use for: High-production marketing videos. Tool #7: Perplexity AI (Deep Research) What it replaces: Hours of Google searches. Time saved: 7 hours/week. Use for: Competitive research, industry trends, fact-checking. Don't use for: Real-time data, financial decisions. Total time saved: 63 hours/week. Compare that to hiring a full-time assistant at $4,000/month. The startup that adopted 15 tools? They had: 3 different AI writing tools competing with each other. 4 automation platforms doing the same thing. 2 transcription services creating duplicate records. Their team spent 2 hours daily just syncing data between tools. After the audit: Cut down to these 7 tools. Productivity up 45% in 30 days. Team morale improved. Monthly tool costs dropped from $800 to $133. The pattern that kills startups: See shiny new AI tool. Sign up immediately. Never properly implement it. Never cancel the subscription. Repeat monthly. The pattern that works: Identify one specific problem. Choose one tool to solve it. Implement it completely. Measure time saved. Only then consider the next tool. Your competition is drowning in tools. You're focused on results. Found this helpful? Follow Arturo Ferreira and repost.

People think I use a lot of AI tools just because I have my hands in so many things. Reality check: my workflow gravitates around a small stack that pulls real weight. These are the ones that earned a permanent spot: ChatGPT Projects ChatGPT Atlas Claude Code CLI Google AI Studio Notebook LM Notion databases Descript AI Task Manager in Slack Hours saved. Better output. Less mental friction. Let’s break it down. 1. ChatGPT Projects This is where all long running work lives. Keynotes, workshops, client strategy, courses, event planning, content systems. Each in its own project with preserved context. No more hunting for old threads or rebuilding prompts. I open the project and continue exactly where I left off. 2. ChatGPT Atlas Atlas is my new default browser. I use it to work directly on any page: LinkedIn, landing pages, docs, research articles. → Draft and refine copy in real time → Summarize long pages instantly → Pull structure from messy content → Find tabs and information I opened days ago without losing my mind It removes friction between thinking and executing. 3. Claude Code CLI This is where I build AI agents. I use it to: → Design agent logic and workflows → Structure architecture for automation systems → Refine decision paths → Debug and iterate without babysitting the process It is direct, technical, efficient and aligned with how I like to build. 4. Google AI Studio I use this alongside Claude Code to build and test AI agents, workflows and internal tools. → Rapid prototyping → Testing new system logic → Exploring AI-driven workflows before full deployment It turns “I want to try this” into something functional, fast. 5. Notebook LM This is my deep research and synthesis layer. I use it to: → Extract insights from transcripts and documents → Identify patterns across multiple sources → Support long-form content like talks, training and strategic planning It helps move raw information into structured thinking. 6. Notion Databases This is my operational backbone. Everything lives here: → Content pipeline → Event logistics → Client work → Partnerships → Goals and planning Connected. Searchable. Systemized. 7. Descript All audio and video workflows live here. → Edit by text instead of waveform chaos → Pull clips for social → Clean up audio efficiently → Speed up post production without sacrificing quality 8. AI Task Manager in Slack This is the glue. → Tasks captured where conversations happen → Priorities assigned in real time → Sequences and deadlines stay visible → Accountability stays front and center It keeps the entire system moving without things slipping through the cracks. I am not collecting tools. I am building an ecosystem that supports how I actually work at scale. P.S. Which AI tools have actually earned their place in your workflow and which ones are still just taking up digital space? #aispeaker

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.

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

💭If you have ever felt like new AI tools pop up faster than you can bookmark them, same here. So I created this list 🗒️ of what’s actually worth knowing right now, organized by what you do, not just by buzz. What surprised me most is how deep each category has become. It’s no longer “one tool per task”; it’s more like mini-ecosystems: Presentations? You’ve got everything from Beautiful.ai for clean decks to narrative-style slides to Gamma . Chatbots?  We are well past the “ChatGPT vs. @Claude” era: Gemini, DeepSeek, Perplexity, Grok, and the rest all have very different strengths and can be used wisely for distinct use cases. Workflow automation? Tools like n8n, MakeAI and Zapier are basically the new power tools for anyone who wants to build processes without writing code. Image + video generation? Still moving at breakneck speed - Midjourney, Adobe Firefly, Sora, Pika, Runway… each one is carving out its own niche. The underrated categories? Spreadsheets (Rows, Gigasheet), Scheduling (Clockwise, Motion), and Meeting tools (Fireflies, Otter). These aren’t flashy, but they save ridiculous amounts of time. If you are trying to get a handle on the landscape or just want to know what’s worth exploring without diving into 500 tabs. This breakdown is a solid starting point. Which tool or category is your favourite? #AI #generativeAI #tools #adaptability #workflow #automation

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. 𝗥𝗲𝘀𝗲𝗮𝗿���𝗵 & 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

Everyone’s chasing “all the right AI tools.” But here’s the truth most people won’t say: You don’t need more tools. You need the right ones—used in the right way. Because right now, you’re wasting hours juggling 10+ tools... Just to create content, analyze data, and finish one task. Instead? Here’s a full-stack AI workflow that can replace 80% of your tools— While saving you 10–20 hours a week: → ChatGPT-4: The content + strategy powerhouse Use it for writing, idea generation, decision-making frameworks, and more. → Claude: For tone-perfect long-form writing Ideal for human-like blogs, leadership emails, and anything nuanced. → HeyGen: Studio-quality videos without the studio Turn blog posts into AI avatar videos in minutes. → NotebookLM: Your personal knowledge base Upload docs, get summaries, insights, and podcast-style outputs. → Julius AI: Analyst-level insights—without an analyst Turn your Excel files into dashboards, charts, and presentations. → Perplexity: Research without the rabbit holes Cited answers, zero tab chaos, and faster learning curves. → Gemini: Deep-dive research with sharp synthesis Great for competitive intel, user trends, and strategic breakdowns. This isn’t about collecting tools—it’s about building a system. A lean, repeatable AI stack that does the heavy lifting for you. Follow me for breakdowns on AI workflows, smart productivity, and the future of work. Let’s make AI useful, not overwhelming. Follow @Anik Singal for more.

Last week, a junior dev messaged me: “Everyone talks about Cursor and Copilot... But are there any less hyped AI tools that are actually useful?” Great question. Because the AI space is bigger than just the usual names. 👇 So I shared this curated list of 10 underrated AI tools for developers in 2025 — Not just trendy, but genuinely useful across coding, design, automation, and workflows. Here it is 🧵 1️⃣ Relume AI: (https://relume.io) -> Instantly build sitemaps and wireframes. Export to Figma, React, or HTML. 2️⃣ Amazon CodeWhisperer: (https://lnkd.in/dPpRFDvG) -> Context-aware code suggestions with a security-first mindset. 3️⃣ DeepCode: (https://www.deepcode.ai) -> AI code reviews that catch bugs and improve code quality. 4️⃣ Codeium: (https://codeium.com) -> Lightweight AI assistant with fast, real-time coding suggestions. 5️⃣ Visual Studio IntelliCode: (https://lnkd.in/dNd8EdHK) -> Smarter auto-complete and bug spotting inside VS. 6️⃣ GitHub AI Coding Agent: (https://lnkd.in/dQ5XYTY8) -> Agentic coding assistant beyond Copilot’s autocomplete. 7️⃣ Dataiku AI Studio: (https://www.dataiku.com) -> Build ML workflows and automate with agentic AI. 8️⃣ Google Conversational Agents Console: (https://lnkd.in/dAeZbB_j) -> Create AI-powered chat agents with Google Cloud. 9️⃣ ServiceNow AI Agent: (https://lnkd.in/dEhKeWg9) -> Automate workflows using natural language understanding. 🔟 Snowflake Snowpark AI: (https://lnkd.in/dd-ANy6b) -> AI + ML for your data engineering inside Snowflake. These aren’t the loudest tools on the internet— But they are helping devs build faster, cleaner, and smarter. 💬 Have you used any of these? Or do you have an underrated AI tool in your stack? Drop it in the comments — I’m always adding to my toolkit! P.S. Tag a developer who’s curious about AI but tired of hearing the same 3 tools everywhere. - Ghazi Khan | Follow for more #AItools #Developers #Productivity #CodeSmarter #BuildWithAI #UnderratedTools #DevLife2025