50 Best Tweets About AI Automation (2026)

Discover the best tweets about AI automation, from agent workflows and integrations to business processes, reliability, and measurable results. Updated weekly.

Automations with clear inputs, tools, outcomes, failure handling, and honest operating costs.

Creators
42
Updated

Top AI Automation tweets from 42 creators

Ranked 01–50

  1. 01

    @AIHighlight ·

    🚨BREAKING: Two researchers from UPenn and Boston University just published a paper that should be uncomfortable reading for every CEO automating their workforce right now. The argument is straightforward. Every company replacing workers with AI is also eliminating its own future

    • 440 Replies
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  2. 02

    @businessbarista ·

    Been working with execs on AI rollouts for the last 14 months. This is the most common level-by-level progression I see:* Level 1: Run company wide AI audit, which includes mapping key processes, interviewing SLT/ELT, and surveying rank-and-file employees. Level 2: Finalize

    • 49 Replies
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  3. 03

    @coreyganim ·

    HOW TO DESIGN A MANAGED AI AGENT A BUSINESS CAN ACTUALLY TRUST STOP pitching "AI employees." No one knows what that means. START selling one defined function instead. Here's the operating model: 1. Give the agent one job. -Speed to lead. -Speed to quote. -Lead qualification.

    • 15 Replies
    • 5 Reposts
    • 139 Likes
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  4. 04

    @vasuman ·

    There are 3 core philosophies that we believe in when it comes to implementing AI for a large company: 1. Build on top of the existing systems of record. Your company spent years and millions of dollars building its stack. NetSuite, Salesforce, SAP, ServiceNow, whatever it is.

    • 16 Replies
    • 10 Reposts
    • 253 Likes
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  5. 05

    @shushant_l ·

    📂 ai agents ┃ ┣ 📂 foundations ┃ ┣ 📂 what is an ai agent ┃ ┣ 📂 autonomous workflows ┃ ┣ 📂 reasoning systems ┃ ┣ 📂 memory systems ┃ ┗ 📂 orchestration logic ┃ ┣ 📂 core components ┃ ┣ 📂 brain (llm core) ┃ ┣ 📂 memory ┃ ┣ 📂 tools ┃ ┣ 📂 planning ┃ ┗ 📂 orchestration ┃ ┣ 📂 agent types ┃ ┣

    • 9 Replies
    • 44 Reposts
    • 149 Likes
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  6. 06

    @arpit_bhayani ·

    Months of building and shipping AI systems made me realize - one thing that makes agentic workflows work is good old best devops practices. If you do not have proper tooling, clean (and also well-defined) processes, and ephemeral environments set up, an AI agent cannot run or

    • 34 Replies
    • 19 Reposts
    • 477 Likes
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  7. 07

    @shushant_l ·

    I'm amazed most people still think building AI agents requires coding. Here's how to build powerful AI agents step by step using simple no-code tools. --- 1. Define one repetitive problem your AI agent should solve first. --- 2. Set one clear and specific goal before

    • 11 Replies
    • 23 Reposts
    • 123 Likes
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  8. 08

    @tibo_maker ·

    ngl I've been mass-testing AI agents across all my products for the last 2 weeks tried to replace entire workflows. customer support, content generation, SEO audits, social scheduling here's what I found: agents are insanely good at tasks with clear inputs and outputs. content

    • 68 Replies
    • 12 Reposts
    • 216 Likes
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  9. 09

    @goyalshaliniuk ·

    Understanding AI Agent Protocols: ANP, A2A, MCP, AGORA, and ACP AI agents often need to communicate, collaborate, and share tasks and that’s where agent protocols come in. These frameworks define how agents interact, exchange information, and coordinate actions, whether they’re

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  10. 10

    @amix3k ·

    AI is giving software companies massive leverage. One response is to reduce headcount while maintaining the same output. Another is to keep building and attempt things that previously required a much larger company. At Todoist, we’re now 108 people, the largest team we’ve ever

    • 21 Replies
    • 5 Reposts
    • 155 Likes
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  11. 11

    @EXM7777 ·

    if your goal is to find the best ways to implement AI in your work... most of your job will be deciding wether this task you're automating/delegating to an agent really adds leverage to your work i see A LOT of ai products launching, and focus on the mundane tasks: answer

    • 18 Replies
    • 4 Reposts
    • 121 Likes
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  12. 12

    @parcifap ·

    How to learn AI Automation? Step-by-step guide in 4 levels - - Level 1: Using AI Start by mastering the fundamentals: > Prompt engineering (zero-shot, few-shot, chain-of-thought) > Calling APIs (OpenAI, Anthropic, Cohere, Hugging Face) > Understanding tokens, context windows,

    • 16 Replies
    • 5 Reposts
    • 53 Likes
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  13. 13

    @alexabelonix ·

    Every day I see another post about the future: 1 founder. 10 AI agents. 0 employees. Fully automated startup. Maybe. But I think a lot of people are confusing leverage with autonomy. Claude Max costs $100-$200/month. Sounds cheap. Until you realize you're still the one

    • 50 Replies
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    • 75 Likes
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  14. 14

    @Mike_Scully_ ·

    Saw this post yesterday from a beginner… "I'm learning AI to start a business. What should I offer?" And my answer shocked them. "Don't offer AI." You see, when you say "I do AI," business owners have no idea what that means. AI is a tool, not a solution. It's like saying

    • 12 Replies
    • 2 Reposts
    • 27 Likes
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  15. 15

    @NoahEpstein_ ·

    claude cowork just made a lot of "ai automation agencies" look expensive here's what it does for free that people were charging $5k-15k for: → auto-organizes your entire file system (downloads, notes, assets) → turns scattered meeting notes into polished reports → converts

    • 17 Replies
    • 6 Reposts
    • 78 Likes
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  16. 16

    @zaimiri ·

    A friend paid $12,000 for an AI consultant to automate their operations. The consultant built 14 workflows in 2 weeks. Impressive speed. But they never asked WHY the team handled support tickets the way they did. Turns out the "inefficient" manual triage was catching edge

    • 36 Replies
    • 2 Reposts
    • 77 Likes
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  17. 17

    @itsalexvacca ·

    We've built GTM systems for 267+ B2B companies. Most were running 20+ tools. They didn't need half of them. The teams that close the most deals have the leanest stack. Here's what actually works across every layer of the revenue stack in 2026: > CRM: We started on HubSpot. Data

    • 2 Replies
    • 2 Reposts
    • 49 Likes
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  18. 18

    @TheTuringPost ·

    Have you ever wondered what actually stands behind the idea of an AI workflow? Time to make it clear. In organizations, the workflow is the unit you can actually inspect, automate, and improve. And the most accurate definition would be this: ➡️ A workflow is a repeating

    • 4 Replies
    • 13 Reposts
    • 49 Likes
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  19. 19

    @IAmAaronWill ·

    how to add AI into your business: > pick one task you do every single day > write the inputs and outputs > ask Claude to try and replicate > if it can, build it in n8n > run it alongside your manual version for a week if the output matches, turn the manual

    • 15 Replies
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    • 54 Likes
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  20. 20

    @IAmAaronWill ·

    Here's exactly how to build your first AI automation: 1. Pick a repeated task 2. Find where it starts 3. Open n8n and set that event as your trigger 4. Connect Claude to write, summarise, or analyse 5. Route the output somewhere 6. Test it once to confirm it fires 7. Turn it on

    • 13 Replies
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    • 52 Likes
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  21. 21

    @frog_omo ·

    "all white-collar work automated in 18 months" really? microsoft's AI chief mustafa suleyman just told the financial times that lawyers, accountants, marketers, and project managers will be "fully automated" by late 2027. i've been tracking AI automation closely. here's what

    • 17 Replies
    • 2 Reposts
    • 60 Likes
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  22. 22

    @heystevetan ·

    ok meta just dropped their ads MCP and CLI today. if you run ads and use claude or chatgpt go install this RIGHT NOW. I’ve put together a quick setup guide so if you want it just comment “meta”’ and I’ll send it over been waiting for this for months honestly. the thing is, most

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  23. 23

    @VaibhavSisinty ·

    I've read hundreds of AI case studies. This is the only one that changed how I think. Every company is asking: what can AI automate? IKEA asked something different. They deployed Billie an AI chatbot for customer service. Billie resolved 47% of all queries instantly. 8,500

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  24. 24

    @thisisgrantlee ·

    Why is IKEA so successful? Meatballs? No, they hit on a deep truth that Charlie Munger spoke a lot about. And it applies to everything, from selling furniture to software: We value things more highly when we are part of their creation. Falling for the "AI-Native" trap, many

    • 10 Replies
    • 6 Reposts
    • 40 Likes
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  25. 25

    @zaimiri ·

    Closed another automation client. They had 2 people doing onboarding by hand. Same cycle every week: > collect intake answers > chase missing files > create CRM records > schedule content > build the research brief I built one agent to do the first pass. One form submission

    • 14 Replies
    • 0 Reposts
    • 35 Likes
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  26. 26

    @adxtyahq ·

    When openclaw hype was everywhere, I built a mini AI automation assistant for myself on telegram, just wanted something that actually does stuff, not just talk. Never shipped it, but the way it worked was interesting. Most AI assistants are just prompt in, response out, works

    • 7 Replies
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    • 31 Likes
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  27. 27

    @rywalker ·

    You can't automate knowledge work very well, without writing software. An LLM call is not automation. A prompt is not a process. The output of real ai automation is code. Imperfect, versioned, testable code.

    • 16 Replies
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    • 31 Likes
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  28. 28

    @0xDepressionn ·

    How to start your own AI agency to reach $3k/mo+ in revenue AI agency is already one of the most relevant businesses in 2026 everyone needs automation, AI content, and lead gen / outreach via AI 1. How to start and what you can sell? the most important thing is to choose one

    • 4 Replies
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  29. 29

    @Mike_Scully_ ·

    There's a pattern I've been watching for the last 18 months that's making some people insanely wealthy… And it has nothing to do with building SaaS products, Launching courses, Or any of the usual online business models. It's simpler. And way more lucrative. It's called AI

    • 4 Replies
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  30. 30

    @heystevetan ·

    Anthropic's own marketing team runs three jobs through their AI every week. Writing content isn't one of them. Here's what they actually run: 1/ An overnight briefing. It reads Slack, Gmail and their ad accounts while the team sleeps, so priorities are sitting there in the

    • 1 Replies
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  31. 31

    @sachinrekhi ·

    .@joulee, former VP Design at Meta, has really solidified my thinking on how taste manifests itself in the age of AI automation. Whether your AI workflow generates high quality output or AI slop comes down to your ability to encode taste into your instruction set. Building a

    • 5 Replies
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  32. 32

    @anulagarwal ·

    Automating workflows with AI is super fun and enables you think in specialized terms rather than general terms. Some workflows that I recently optimized and helps save me hours now: 1) Managing App Store app pages: -Using Claude code to write ASO descriptions -Using Claude to

    • 2 Replies
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  33. 33

    @socialwithaayan ·

    The biggest risk in AI right now isn't that your agent fails loudly. It's that it fails silently 🤯 There's a free tool called iFixAi that catches exactly that. 45 inspections. Letter grade in under 5 minutes. Any model, any industry. Here's the problem it solves: Your AI agent

    • 17 Replies
    • 6 Reposts
    • 53 Likes
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  34. 34

    @agentcardai ·

    ai agents can now handle your Word docs, Excel sheets, and PowerPoint files so you never have to touch Office again. Agents crash when they hit Microsoft files. Companies pay $50-100/month for automation tools that barely work. A developer just open-sourced OfficeCLI. → Read

    • 4 Replies
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  35. 35

    @sachinrekhi ·

    The creator of the leading CPO community, @nikhyl, has a front-row seat to how product executives are fundamentally rethinking the PM role in the age of AI. Here are the five realities he sees: 1️⃣ Information Mover -> Product Builder During ZIRP times, the PM role largely

    • 4 Replies
    • 1 Reposts
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  36. 36

    @Harish_521 ·

    just built my first real AI automation. Manual Trigger ↓ Edit Fields → { topic: "What if Messi Joined Arsenal?" } ↓ HTTP Request → calls OpenRouter/Llama ↓ Edit Fields → { script: "**Hook**..." }

    • 2 Replies
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  37. 37

    @cem_hasoglu ·

    hot take but most "AI automation agencies" are selling duct tape a webhook, a chatgpt api call, and a google sheet and charging $3,000 for it and honestly? good for them. because the client doesnt know how to build that and it saves them 10 hours a week. the value is real even

    • 1 Replies
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  38. 38

    @MakadiaHarsh ·

    Myth: Automation replaces people Reality: Recently I've built 5+ automations. Zero people got fired. They got promoted to other work Myth: You need a custom app. Reality: 70% of the time, connecting 2-3 existing tools solves the problem for $500 instead of $50K Myth: AI

    • 13 Replies
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    • 20 Likes
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  39. 39

    @mercer70638 ·

    Most AI automations break because people skip the cleanup step. Your CRM has duplicate contacts, inconsistent naming, missing fields. Clean your data first or your automation will amplify the mess. #AI #Automation #DataQuality

    • 5 Replies
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  40. 40

    @T_Zahil ·

    No AI on Writizzy 🙅🏻 Most blogging platforms are racing in the same direction right now. MCPs. Publishing APIs. AI integrations. One-click "write this post for me" buttons. Agents that draft, schedule, and publish on your behalf while you sleep. The result? More and more of

    • 4 Replies
    • 0 Reposts
    • 14 Likes
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  41. 41

    @MakadiaHarsh ·

    the boring truth about shipping AI Automation: 1/ nobody sees your architecture 2/ nobody care if it's one clean agent or five duct-taped scripts 3/ everyone care that the report shows up monday at 8am like you promised. build for the promise, not for the portfolio.

    • 10 Replies
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  42. 42

    @JustAnotherPM ·

    The biggest bottleneck in AI right now isn’t intelligence. It is *context.* Most product managers and devs think connecting AI to your data requires messy, custom code for every single integration. They are wrong. Here is the "Model Context Protocol" (MCP)—and how it unlocks

    • 2 Replies
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  43. 43

    @JulianGoldieSEO ·

    Claude Code + LangSmith is insane. 🤯 You’re using Claude Code… But you can’t see: • why it made decisions • which tools it called • where workflows broke That’s dangerous for real AI automation. LangSmith fixes this. Now you can trace: every LLM call every file read every

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  44. 44

    @shreejibawa ·

    If you are a founder struggling with personal branding, this is for you. I was spending hours every week on content. Writing blogs. Crafting LinkedIn posts. Polishing every single line. Then I stopped doing it myself. In the last 20 days, my AI agents published 7 technical

    • 4 Replies
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  45. 45

    @Zachly ·

    Many companies are wasting thousands of dollars on unclear autonomous agents. Other companies are too conservative and think automated meeting notes makes them “AI-native” The middle path is where you see the highest ROI: - engineers using agentic coding This has clear success

    • 1 Replies
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  46. 46

    @sharyph_ ·

    I Automated My 60-Minute Optimization Process to 60 Seconds Every week I spent over an hour optimizing blog posts: → Checking title lengths (under 60 chars) → Writing meta descriptions (155-160 chars exactly) → Creating URL slugs → Writing TL;DR summaries → Converting headings

    • 1 Replies
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  47. 47

    @PreciousMoonday ·

    Sourcing B-roll for a single documentary used to take me 5 hours. Last night, I built an AI agent to do it in 55 seconds. 👇 (Watch the raw demo below) If you run a faceless YouTube channel or video agency, you know the soul-crushing reality of pre-production. You write a

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  48. 48

    @JulianGoldieSEO ·

    Open Code + Qwen 3.6 just changed how AI works. This isn’t another chatbot update. This is agent AI that actually finishes tasks for you. Here’s what makes this combo different: → Qwen 3.6 plans multi-step workflows → 1M token context reads entire projects → Native tool

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  49. 49

    @realMikeChong ·

    The biggest lie of "zero-person companies": There's a paradox about AI automation that nobody talks about: if you want to automate something, you must first do it better than AI. Because you can't define "good," you can't create reliable processes. AI solves execution, not

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  50. 50

    @timbuilds21 ·

    I wasted $50K on GTM tools before figuring out what actually works. Here's the expensive lesson: The Tools That Burned Money: ❌ "All-in-one" platforms → Did everything poorly, nothing well ❌ Pretty dashboards → Looked great, zero ROI ❌ Enterprise-priced databases → Same data

    • 7 Replies
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