Adebayo Ajibade

🙋‍♂️ Everyone’s calling @AnthropicAI's Claude new Managed Agents a “production game-changer.” I’ve spent a good amount of time with it since it launched last week. My take: maybe not yet. Not because it’s bad — it’s not. The onboarding is genuinely beautiful: 👉 Describe your agent in chat — it auto-writes the prompt, picks the model, wires MCP tools 👉 Spin up a hosted cloud environment in one click 👉 Connect tools like ClickUp via OAuth (credentials in a shared vault) 👉 Hit “start session” — agent is live in 5 minutes If you’ve never opened Claude Code, this is the smoothest on-ramp to AI agents on the market. But here’s the catch nobody’s mentioning: Your agent can’t wake itself up. 👉 No cron. No schedules. 👉 No triggers of any kind. 👉 No growing context 👉 No inter agent communication (Interoperability) 👉 It waits. That’s it. You either manually start a session or hit its API endpoint — which means you still need trigger.dev, n8n, or your own scheduler bolted on top. And at that point? You’re better off going straight to the Agent SDK. An agent that can’t run autonomously isn’t really an agent. It’s a well-packaged chatbot with a longer leash. Who this is actually for: ✅ New to AI agents? Best on-ramp available today. ❌ Already shipping with Claude Code or the SDK? Skip it. Outcomes, multi-agent orchestration, and persistent memory are on Anthropic’s roadmap. When those ship, this review gets rewritten. None of this is theoretical for me. I’ve burned over 180M Claude tokens building the answer for weeks. None of this is theoretical for me. I’ve burned 180M+ Claude tokens building the answer for months. 🔥 What if most of the team you need was already built — and hiring a new one took a single prompt? 🔥 What if your agents woke themselves up — triggered by time, events, or signals? 🔥 What if every conversation made them smarter — memory that compounds, not resets? 🔥 What if the whole workforce ran in your private cloud — isolated, secure, with full context of your company? 🔥 What if one human expert had your back — monitoring, optimizing, and accountable for your ROI? 🔥 What if you only paid when the outcome was delivered? That’s not a roadmap. That’s what we’re shipping at Autonoms. Announcement next week. You’ll want to see this one 👀 Comment “Test Autonoms” get early access + free credits 👇

Is it time @Google just redirects to Gemini after as web search. At least for though who are still doing things the old way?

My Claude code account definitely doesn’t have a work life balance… Please stop crashing on me when I need you the most. Thank you @claudeai

Are you building with AI and what’s your tech stack these days?

🤯 If you told me last month that I’d be lying on my couch “coding” through Slack on my phone just to unwind after a long day… ✨ I would’ve laughed. But today, that’s exactly what I’m doing. No syntax. No algorithms. No data structures. No design patterns. No test cases... etc Just me, literally chatting with the team of engineers I built on OpenClaw… ... and they ship the work in seconds. And before anyone thinks I’m exaggerating, I’m not. This is my actual workflow now. Turns out I was actually slower to adopt this new reality because I genuinely love coding and building but I’ve embraced it, and it has made me a super version of myself. We’ve officially entered the era where software development feels like texting. It’s an unbelievable time to be an inventor. 🔥

Claude down?

🔥 Most founders are wasting money on cold outreach.🔥 Here's the hack smart companies are using instead (and it's embarrassingly simple): I call it the Hot Post method. Forget the old playbook: → Define ICP → Search LinkedIn → Send connection request → Pitch in DMs → Get ignored That still works — but only at scale, and scale costs money. Here's what's working right now: Instead of hunting your ideal customer directly, find the posts that are already attracting them. Your competitors and peers are publishing content that acts as a natural lead magnet for your exact ICP. You just need to show up in the comments and DMs. Real examples: 🔹 Founder looking for investors? Don't cold email VCs. Find other founders posting "We just hit $1M ARR" or "We're raising our seed round." The investors commenting? Those are your warm leads. 🔹 Investor looking for founders? Post or find posts like "Investing $250K pre-seed in 2 AI founders." The comments are flooded with exactly who you want to meet. 🔹 Recruiter hunting rare talent? Find a hot company's job post on LinkedIn. The applicants commenting are pre-screened and interview-ready — better than any search filter. 🔹 Job seeker? Find the emotional post from a senior Google or Meta engineer who just got laid off. Hiring managers offering fast-track interviews are already in the comments. Get in there. 🔹 Dev shop or AI company selling to founders? Use investor posts as your hunting ground. Founders actively building are right there, engaging in public. Why does this work so well? Because these people are already in motion. They're not cold. They have intent. They're actively seeking something — and if you have what they need, the conversion almost happens itself. This isn't theory. It's working for us right now. The even more interesting part? AI can find these hot posts for you — 24/7 — before they go cold. We built a system at Loubby AI that identifies these posts, researches each prospect, and sends hyper-personalized outreach based on their specific situation. Fully automated. Outcome-based pricing (you only pay when it works). We're onboarding a few businesses to test it free for a full week. If you want us to set it up for your business → comment "Hot Post" below 👇 .

I’m done experimenting with OpenClaw in a sandbox. 🫡 It’s time to plug it into real systems and . Real emails. Real cloud infra. Real accounts. Now we test what this actually looks like in an enterprise environment. My plan: replicate the same AI agents/teams we’ve built for businesses across virtual assistant use cases — but this time using OpenClaw as the core runtime. And I’m going to evaluate it properly 👇 What I’m comparing: - Ease of setup - Performance under load - Accuracy of outputs - Enterprise readiness (security, governance, scale) - Human-in-the-loop support - Efficiency (cost + compute tradeoffs) - Security in the enterprise automation context Use cases I’m recreating: • LinkedIn cold outreach + follow-ups • ICP contact list curation + enrichment • Multi-step research agents • Inbox triage + response drafting • CRM updates + reporting loops • Data Insights • Knowledge bag rag I’ll build these one by one and share high-level observations publicly. No hype. Just real-world testing. If OpenClaw holds up in enterprise scenarios, that changes the game for some of our AI offerings. If it doesn’t, we’ll know exactly where it breaks. This should be fun. Follow along.

Nowadays everyone is asking: "How do we use more AI to achieve our goals faster?" But we're collectively ignoring the harder question: What happens when no one's watching? AI agents are powerful. It writes code very well now. It sells. It books meetings. It handles support. It analyzes data. But it also hallucinates. It makes confident mistakes. It misinterprets edge cases. It optimizes for the wrong metric. And when you're a serious enterprise with brand equity, regulatory exposure, and millions (or billions) at stake… you don't just let AI run freely. You supervise it. The most important job of the AI era will not be "prompt engineer." It will be Human-in-the-Loop Operator. Enterprises will need professionals who can: • Review AI outputs • Approve decisions before they go live • Monitor agent performance • Optimize workflows • Ensure compliance and brand safety • Measure ROI and continuously improve results Even when AI works 95% of the time, that 5% matters more at scale. And the bigger the company, the more critical the oversight. AI agents will execute. Humans will supervise, refine, and elevate. That's the future. No matter your role. No matter your industry. Start asking yourself every single day: "How can AI do 70% of my work — and how do I become the person who manages that 70%?" If you're in sales, let AI handle research and first outreach. If you're in support, let AI resolve repetitive tickets. If you're in operations, let AI automate reporting. If you're in recruiting, let AI screen and shortlist. Your value shifts from doing tasks to designing, supervising, and optimizing systems. That's leverage. We recently launched our AI workforce training program focused on building and managing AI agents. Over 6,000 people applied — not because AI is trendy, but because people can feel the shift happening and seen what we delivered in the last cohort. If you want o be part of it regardless of location or years of experience apply here - lnkd.in/gvgc7v8b The real opportunity isn't just learning AI tools. It's learning how to deploy them, govern them, and make sure they actually drive ROI. And we're not just providing AI to companies. We're providing the best Human-in-the-Loop talent to work alongside those AI agents — to monitor, optimize, and make sure performance keeps improving. Because AI without governance creates risk. AI with elite oversight creates scale. If you want to stay relevant in the AI era: Don't compete with AI. Don't ignore AI. Master it. Multiply yourself with it. And position yourself as the operator who makes it perform. That's the most important job of the next decade.

Nowadays everyone is asking: "How do we use more AI to achieve our goals faster?" But we're collectively ignoring the harder question: What happens when no one's watching? AI agents are powerful. It writes code very well now. It sells. It books meetings. It handles support. It analyzes data. But it also hallucinates. It makes confident mistakes. It misinterprets edge cases. It optimizes for the wrong metric. And when you're a serious enterprise with brand equity, regulatory exposure, and millions (or billions) at stake… you don't just let AI run freely. You supervise it. The most important job of the AI era will not be "prompt engineer." It will be Human-in-the-Loop Operator. Enterprises will need professionals who can: • Review AI outputs • Approve decisions before they go live • Monitor agent performance • Optimize workflows • Ensure compliance and brand safety • Measure ROI and continuously improve results Even when AI works 95% of the time, that 5% matters more at scale. And the bigger the company, the more critical the oversight. AI agents will execute. Humans will supervise, refine, and elevate. That's the future. No matter your role. No matter your industry. Start asking yourself every single day: "How can AI do 70% of my work — and how do I become the person who manages that 70%?" If you're in sales, let AI handle research and first outreach. If you're in support, let AI resolve repetitive tickets. If you're in operations, let AI automate reporting. If you're in recruiting, let AI screen and shortlist. Your value shifts from doing tasks to designing, supervising, and optimizing systems. That's leverage. We recently launched our AI workforce training program focused on building and managing AI agents. Over 6,000 people applied — not because AI is trendy, but because people can feel the shift happening and seen what we delivered in the last cohort. If you want o be part of it regardless of location or years of experience apply here - lnkd.in/gvgc7v8b The real opportunity isn't just learning AI tools. It's learning how to deploy them, govern them, and make sure they actually drive ROI. And we're not just providing AI to companies. We're providing the best Human-in-the-Loop talent to work alongside those AI agents — to monitor, optimize, and make sure performance keeps improving. Because AI without governance creates risk. AI with elite oversight creates scale. If you want to stay relevant in the AI era: Don't compete with AI. Don't ignore AI. Master it. Multiply yourself with it. And position yourself as the operator who makes it perform. That's the most important job of the next decade.

Google was the discovery engine for 20 years. AI is next. If AI can't see your business, your business doesn't exist. People stopped Googling. They ask ChatGPT now. Traditional SEO = browsers AI SEO = LLMs Are you ready? 🧵

If you don’t read any article, post, book, blog etc this year. Read @mattshumer_ Something Big Is Happening… Thank me later!

We just broke the most expensive lie in enterprise AI: "Pay upfront, hope it works later, and then pay forever for something you never truly own." We know, because we've seen the proof firsthand. 💡After training 4,000+ AI automation builders, helping 60+ companies automate their workflows, and watching 800+ AI agents go live in just 8 weeks, we discovered something critical: ⚡The biggest barrier to AI adoption for most businesses isn't AI itself - it's trust, economics, and knowing where to start.. Businesses fear buying complex solutions that don't work. Builders struggle with distribution and scalable monetization. That's why today we're launching Autonoms AI - The first escrow-backed marketplace for ready-made AI employees. Results first. Payments follow proof. Builders monetize at scale. The Autonoms AI Advantage 🛡️ Zero-Risk Escrow Protection We hold your payment until the AI agent is deployed, working in YOUR environment, and meets our Definition of Done. No more risk. No more "hope it works." 🧩 You Own It, Forever Stop paying perpetual SaaS licenses. After successful deployment, you own the agent's customized IP and code running in your environment. 🛠️ Ready-Made & Vetted Deploy an AI employee that delivers results in hours, not months of custom development. Every agent is rigorously tested, documented, and built by verified experts - removing the guesswork of where and how to implement AI. The Proof Is In The Pre-Launch Traction 🌍 4,000+ active builders trained 💼 75+ paying customers live ⚙️ 800+ automations created 🤖 50+ AI agents vetted and listed (agents.autonoms.ai) Agents are priced as one-time purchases, not subscriptions - delivering ROI quick while you retain ownership forever. Need ongoing optimization? Optionally engage the original builder or tap our verified AI expert network for maintenance and enhancements on retainer. 🚀 The Vision: Your Agentic Operating System Every agent you deploy becomes part of your Agentic OS - an intelligent, self-operating workflow that connects with themselves, your people, software, and AI. 👉 Start with Sarah, your AI SDR you bought from the marketplace who qualifies 200 leads per day and books meetings while you sleep. 👉 Add Marcus, your AI support agent handling tier-1 tickets at 3am with 95% resolution accuracy. 👉 Deploy Maya, your finance AI who reconciles expenses in real-time and flags anomalies automatically. They don't just automate tasks. They collaborate with your human team and existing tools through one unified system. Stop chasing one-off automations. Start building your Workforce Operating System for the AI era. 🎯 Become Part of the Future of Work The future of work isn't replacing humans with AI. It's giving humans an AI workforce they own making them unstoppable and It's here. 👉 If you are a visionary business or an ambitious AI builder, join us at autonoms.ai #AI #AgenticAI #AutonomsAI #FutureOfWork #Automation #Startups #B2BSaaS linkedin.com/posts/adebayo-…

✨ The Tools Are Fast Changing, The Ultimate Winners Are the Learners💡 @OpenAI just unveiled Agent Builder, and as always, the internet reacted like it discovered fire. “@zapier is dead.” “@n8n_io is finished.” “No-code is over.” Every time something new launches, people rush to declare the end of what came before. However, that is not how innovation works. If you have ever built real automations for real businesses, you know the truth is rarely that simple. Each tool plays a different role in the ecosystem. Agent Builder represents a major leap for AI-native workflows, where logic and reasoning drive the process. Yet most organizations are not just building reasoning systems; they are wiring CRMs, spreadsheets, APIs, and countless connections that keep operations alive. That is not “AI magic,” it is integration craftsmanship. Tools like n8n, Make, and Zapier still shine because they have mastered the messy middle: triggers, authentication, retries, and all the silent plumbing that keeps systems running reliably. So no, they are not dying. The automation stack is evolving. We are entering a new era of software, one in which products are assembled rather than coded line by line, workflows are built in days instead of months, and a single automation expert can replace ten repetitive roles while delivering results faster. Organizations that understand this will dramatically cut costs and move with greater speed, while those that do not will spend months and millions solving problems that a single AI-enabled builder could automate in hours. This is not just a technical shift; it is a talent revolution. Companies now need builders who think in systems, speak both human and API, and design workflows that combine AI logic with business automation. It is not traditional software engineering. It is AI-native automation engineering, and it is redefining what “building software” means. Here is the real shift: the winners are not the ones betting on a single tool, but those mastering how all of them think. Learning automation tools today is like learning programming languages. Once you grasp logic, inputs, outputs, and conditions, every new platform becomes easier to learn. You begin to see patterns rather than platforms. That is why curious learners, the ones exploring new tools every month, will always win. The next “big thing” will not intimidate them because it will feel natural. So instead of asking which platform will win, ask yourself: 👉 Am I learning fast enough to keep up? 👉 Am I building solutions that remove friction and deliver real value? Tools will continue to change, and frameworks will evolve. However, the builders who keep learning, who can move between systems and make them all work together, will always win. 😅 Sorry for the long post. I rarely write, but when a thought will not leave my head, I call my AI post writer, and he never likes short posts. #AI #Automation #FutureOfWork #AIAutomation #NoCode #OpenAI #AgenticAI

🚀 Over 4,000 young Africans just raised their hands for the future of work. At @loubby_ai , we launched a 100% free hands-on 10-week Agentic AI Automation Training and the response has been overwhelming: ✅ 2,000+ already onboarded and learning ✅ Labs are live ✅ Teams solving real problems ✅ Real-world agents being built ✅ Peer-to-peer collaboration in full swing And here’s the kicker: we’re planning to accept EVERYONE willing to take a simple assessment on Loubby AI. This isn’t “just another course.” For many, it’s already shaping up to be the most transformative career move of their lives. 🌍✨ But we’re not stopping here. We’ve got something even bigger and more life-changing coming for this community and for the global Agentic automation ecosystem at large. 🔥 ⏳ Applications close this week. If you have a friend you care about (tech or not), send them the link before the deadline. They’ll remember it as one of the smartest decisions they made. Apply here 👉 lnkd.in/g3sbjFtC Join our Discord and WhatsApp communities of thousands of Agentic Automation experts and enthusiasts: learning, collaborating, and building next-gen AI Agents for the future of work, one project at a time. Discord Community 👉 lnkd.in/gae-mfsn WhatsApp Community 👉 lnkd.in/giWcBEHR We’re committed to nurturing the continent’s strongest network of AI talent, and even more so to ensuring they have direct access to meaningful, paid work from global markets. 🔥 🚀 #FutureOfWork #LoubbyAI #DivverseLabs #AIAutomations #AgenticAI #Upskilling

Your tech skills deserve recognition! Create your Loubby AI profile and open the door to gigs, internships, and job offers. Get started at 3mtt.loubby.ai #Techtalents #3MTT

@txmobilenews I heard that too, Please update as soon as anyone finds out. Y’all be safe out there!

Just heard what sounded like a huge explosion in north Austin