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AI Automation Society

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8 contributions to AI Automation Society
Looking for Sales Assistant
Hi! I'm looking for a Sales Assistant to help grow our voice AI agency business. We handle the technical side. building, deploying, and optimizing the tech. You bring us clients. We need someone who thrives on sales and outreach. You earn commission on every client we close. If you're driven, great at talking to people, and ready to build something with us, let's talk. DM me if you're interested!
0 likes • 28d
@Grasi Checopa No, it doesn't need to be based in the US
Building Your Personal Brand #2 of 14
Building Your Brand Series Inspired by my podcast “14 Elements of Building a Brand,” I’m sharing daily Skool posts on each element to help you level up your personal brand. These are simple, bite-sized insights to get you thinking and acting. Let’s dive in! Day 2: Identify Your Target Audience No brand thrives without knowing who it’s for. Pinpoint your ideal audience—the people who need what you offer and vibe with your style. Without this, your message gets lost in the noise. Think: Who benefits most from your skills? Targeting them turns followers into fans. Who’s your dream audience? Drop it in the comments. Check the podcast for more tips.
2 likes • Jan 21
Interesting!
fitness related AI
where can find workflow or automation for fitness and personal traning ? Appreciate ur help
1 like • Jan 21
Interesting!
🚀 Daily Tech & AI Update – Stay Informed, Stay Ahead (Jan-16-2026) and (Jan-17-2=26)
🤖 AI & Machine Learning — Launches, Updates & Ecosystem Moves • Team India highlights AI at WEF Davos 2026 — India positioned itself as a global partner for AI and emerging technologies at the World Economic Forum, signaling strategic focus and investment appeal. Why it matters: Reinforces national AI leadership positioning on the global stage. • EXL to open two new India AI/data centres in 2026 — EXLservice Holdings plans expansion into tier-2 and tier-3 Indian cities with new centres focused on AI, data and infrastructure. Why it matters: Indicates growing AI/IT services investments beyond major metros. 💼 Corporate & Market Moves (Items below are from Jan 18 reports with direct business or tech impact — included only if tied to technology or infrastructure demand growth.) • NIO reports 50,000th ES8 electric SUV delivered — NIO Automotive announced hitting this EV delivery milestone on Jan 18. Why it matters: Electric vehicles drive embedded AI/automation and connected car tech demand. 🏛️ Government & Policy (Tech-Relevant) (No discrete regulatory or formal tech policy changes dated Jan 18 were found in verified news — excluded per strict rule.) 🧠 Industry Trends (Reported Yesterday) (Only include if tied to a new announcement on Jan 18.) • Nvidia extends Rubin GPU FP64 emulation — Reports on Jan 18 highlight Nvidia enhancing Rubin GPU performance via software FP64 emulation in CUDA to boost HPC workloads. Why it matters: This boosts AI/compute ecosystem performance without new silicon, impacting AI research and HPC. 🛡 Cybersecurity / Infrastructure (No strictly dated Jan 18 security tool launches or breaches confirmed with verifiable timestamp — excluded to honor strict requirement.) 📊 Market & Tech Indicators (No strictly date-locked market analyses tied to discrete tech events on Jan 18 beyond the items above — excluded per your rule.) 📌 Key Takeaways India’s AI leadership was foregrounded at WEF Davos 2026, highlighting global collaboration and investment narratives.
1 like • Jan 21
Interesting!
AI Decisions Still Belong to You
When a human makes a bad call, responsibility is obvious. When AI makes a bad call, accountability suddenly gets blurry. I’ve seen AI systems: - block legitimate customers - greenlight risky transactions - send messages that shouldn’t have gone out - rank the wrong leads as “high priority” - trigger automations that caused real damage And when things broke, the explanation was always the same: “It was automated.” Here’s the reality founders need to face: AI doesn’t carry consequences. Your company does. Customers don’t care: - what model you deployed - how good the benchmarks look - whether it was a rare scenario They only see the result. And they hold *you* responsible for it. Everything changed for me when I stopped asking: “How smart is this system?” And started asking: “If this decision is wrong, who eats the cost — financially, legally, and reputationally?” That question forces better architecture, better guardrails, and better deployment decisions. If ownership isn’t defined before AI goes live, the business always pays for it later.
1 like • Jan 21
Interesting!
1-8 of 8
Alex Laj
3
21points to level up
@zain-lojn-1378
building voice AI agents

Active 6d ago
Joined Jan 21, 2026
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