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  • JD News

    Agents at the Wheel: Mass Refactoring, Cost Guardrails, and Real-Time Scale

    Agents at the Wheel: Mass Refactoring, Cost Guardrails, and Real-Time Scale

    Today · 14 min
  • Security Bite

    The new era of bug hunting with OpenHack's Ananay Arora

    9to5Mac Security Bite is exclusively brought to you by Mosyle, the...

    Today · 17 min
  • The Value Engine

    Why Your Automation Project Failed (The Agencies Won't Tell You)

    83% of automation projects fail within the first six months. Not because the tech doesn't work, but because agencies cut corners on delivery to maximize profit margins. Most businesses have no idea what actually happens after they sign that automation contract. They hand over the deposit, sit through a few meetings, then get stuck with buggy workflows that break every other week. The agency blames "complex requirements" and charges extra for fixes that should have been caught during testing. After building delivery processes for dozens of automation agencies, Nico Hartwell is pulling back the curtain on how these projects really work. You'll learn the exact 5-step framework that separates professional agencies from weekend consultants charging enterprise rates. In This Episode: > The discovery phase blueprint that prevents 80% of scope creep (most agencies skip this) > Why the average project timeline is 2-6 weeks and what drives costs between $5,000-$25,000 > The testing protocols that catch integration failures before they reach production > How 80% of business automation gets built using no-code tools, not custom development This isn't theory. These are the actual processes Nico used to deliver automation projects worth over $2 million in total contract value. You'll understand exactly what questions to ask potential agencies and which red flags mean you're about to waste six figures on glorified Zapier workflows. Timestamps: 00:00 Introduction: Why automation projects fail 02:30 Step 1: Discovery and requirements mapping 04:15 Step 2: Technical architecture planning 06:45 Step 3: Development and integration phase 09:20 Step 4: Testing protocols and quality assurance 11:10 Step 5: Deployment and handoff process If you're evaluating automation agencies or building your own delivery process, hit follow. The Value Engine drops new episodes daily with real automation strategies that actually generate ROI. More episodes available at The Value Engine --- Keywords: make.com, automation consulting, machine learning business, ai workflows, process optimization, automation mistakes, business intelligence Learn more about your ad choices. Visit megaphone.fm/adchoices

    Today · 17 min
  • Open Weights

    Why Gemini 3.1 Pro Will Make Most Business Consultants Obsolete by 2027

    What if a single AI model could replace entire consulting teams by 2027? Quinn Palmer breaks down Google's Gemini 3.1 Pro simulation features that are about to flip the script on how businesses make decisions. This isn't just another AI upgrade - it's potentially game over for traditional business modeling. 🎯 What You'll Learn: • How Gemini 3.1 Pro processes 2 million tokens to model 50 interconnected variables at once • Why 85% accuracy in business predictions using just 6 months of data changes everything • The real reason processing times dropped from hours to under 10 minutes (and what this means for your industry) 👤 Perfect for: curious listeners who want to understand which jobs AI will actually replace and which ones are safe (spoiler: it's not what you think). 📍 Chapters: [00:00] Quinn Palmer introduces the consulting apocalypse [01:30] Breaking down Gemini 3.1 Pro's simulation power [04:00] The 2 million token advantage nobody's talking about [07:00] Real test results that will make you rethink business modeling [10:00] Which consulting roles survive and which don't [12:00] What this means for your career in the next 3 years The consulting industry just got its ChatGPT moment. When AI can run complex business simulations faster than human teams and predict outcomes with 85% accuracy, the economics of consulting fundamentally change. Quinn walks through the technical capabilities that make this possible and explains why this isn't just hype. From climate modeling to supply chain optimization, Gemini 3.1 Pro's simulation features represent a massive shift in how we approach complex problem-solving. The question isn't whether AI will transform consulting - it's whether you'll be ready when it does. 🔔 Never miss an episode: Follow Open Weights on Spotify or Apple Podcasts and turn on notifications. New episodes drop daily, your next favorite insight is one tap away. 🔍 Topics: AI simulations, Gemini 3.1 Pro, business consulting, machine learning predictions, automation -------------- Keywords: chatgpt explained, ai podcast, google ai, large language models, ai models, tech industry news Learn more about your ad choices. Visit megaphone.fm/adchoices

    Today · 14 min

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