The AI Cookbook: AI Tools | Enterprise AI | Leadership

Malcolm Werchota
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Malcolm Werchota's AI Cookbook is where artificial intelligence meets authentic business transformation. Known for his direct style and willingness to show AI in action—even during live presentations—Malcolm helps organizations understand that AI isn't about replacing humans but amplifying their capabilities. From voice-note productivity hacks to real-time meeting intelligence, this podcast delivers actionable insights for immediate implementation.

  1. 8 HR AGO

    E85: Chip Shortage 2025: How Netherlands-China Dispute Stopped Cars

    When the Dutch government seized chipmaker Nexperia on September 30, 2025, they thought they were protecting European interests. Instead, they triggered a supply chain catastrophe that could shut down automotive production worldwide. In this episode of The AI Cookbook, Malcolm Werchota breaks down the spectacular policy failure that cut off 6 billion chips per month, threatens car factories across three continents, and reveals everything wrong with Europe's approach to the US-China tech war. What You'll Learn: How a single Dutch government action triggered China to block 6 billion chips per month - 40% of the global automotive semiconductor supply Why modern cars need 1,000+ chips and can't simply switch suppliers (qualification takes 6-18 months) The geopolitical chess match: US export controls, Dutch seizure, Chinese retaliation - and why Europe got caught in the crossfire What "just-in-time manufacturing" really means when supply chains become weapons Why this crisis is a preview of AI infrastructure vulnerabilities in Europe Why This Matters: This isn't just about cars or semiconductors. Malcolm explains how the Nexperia crisis reveals the fragility of global supply chains in an era of great power competition - and what it means for anyone building AI infrastructure in a world where technology is increasingly weaponized. "You can't seize technological sovereignty. You have to build it systematically. Europe just learned this lesson the hard way." Perfect For: Supply chain professionals, business leaders managing geopolitical risk, AI teams building European infrastructure, anyone navigating the US-China tech war. KEY TOPICS COVERED ─────────────────────────────────────────────────────── The Nexperia Crisis Timeline (00:45) September 30: Netherlands seizes Nexperia under emergency powers October 4: China blocks chip exports from Guangdong facility October 17: Alliance for Automotive Innovation warns of US plant shutdowns 6 billion chips per month suddenly trapped - 40% of automotive semiconductor market BMW, Toyota, Mercedes-Benz, Volkswagen, Ford, GM, Stellantis all affected Understanding the Supply Chain Catastrophe (03:20) Why you can't just switch chip suppliers: 6-18 month qualification process Modern cars require 1,000+ semiconductor components Nexperia's role: Basic transistors and diodes (not advanced AI chips) The problem: Design in Netherlands, manufacturing in Germany, assembly in China 80% of finished products now trapped behind Chinese export blocks The Geopolitical Chess Match (05:45) US-China tech war escalation and semiconductor weaponization Europe caught between two superpowers - no good options Netherlands' miscalculation: Legal control ≠ operational control Why China targeted automotive chips for maximum pain The death of "strategic autonomy" as a policy framework Supply Chain Vulnerabilities Exposed (08:30) Just-in-time manufacturing's incompatibility with geopolitical risk Why automotive chips became the battlefield Geographic dependencies and single points of failure The cost of efficiency without resilience How supply chains become weapons in great power competition What This Means for AI Infrastructure in Europe (11:15) If we can't secure basic chips, how do we build AI capabilities? Practical strategies for managing geopolitical risk in technology Why resilience now matters more than efficiency Lessons for anyone building on global supply chains The new reality: Security and redundancy over cost optimization ─────────────────────────────────────────────────────── EPISODE INSIGHTS ─────────────────────────────────────────────────────── Malcolm's Core Message: "The Death of Strategic Autonomy" Europe attempted to navigate the US-China tech war by seizing Nexperia to protect supply chains. Instead, they demonstrated why you can't build technological sovereignty through government seizures. Real resilience requires systematic investment in full-stack capabilities - fabrication, packaging, assembly, testing - built BEFORE taking actions that trigger retaliation. The Nexperia crisis is a case study in what NOT to do. The question is whether we'll learn the lessons before the next crisis hits. Notable Quote: "This crisis exposes the fragility of globalized supply chains when caught between Washington and Beijing. Modern cars require over 1,000 semiconductor components. Qualifying new suppliers takes months or years. Just-in-time manufacturing means no backup inventory. The math is brutal: no chips = no cars." ─────────────────────────────────────────────────────── RESOURCES & LINKS MENTIONED ─────────────────────────────────────────────────────── Alliance for Automotive Innovation warning statement Dutch Goods Availability Act documentation US Entity List and export control regulations Nexperia company information and facilities ─────────────────────────────────────────────────────── WHERE TO FIND MALCOLM WERCHOTA ─────────────────────────────────────────────────────── LinkedIn: https://www.linkedin.com/in/malcolmwerchota/ Website: https://www.werchota.ai/ YouTube: https://www.youtube.com/@werchota X: https://x.com/malcolmwerchota Facebook: https://www.facebook.com/people/AI-Cookbook-by-Malcolm-Werchota/61580362300250/?sk=reels_tab Instagram: https://www.instagram.com/malcolmwerchotaai/ TikTok: https://www.tiktok.com/malcolmwerchota ─────────────────────────────────────────────────────── GET IN TOUCH ─────────────────────────────────────────────────────── Have questions about AI implementation or want to share your transformation story? Reach Malcolm at malcolm@werchota.ai ─────────────────────────────────────────────────────── EMAIL THE SHOW ─────────────────────────────────────────────────────── Write to us with episode requests, feedback, or ideas at social@werchota.ai ─────────────────────────────────────────────────────── READY TO LEVEL UP YOUR AI SKILLS? ─────────────────────────────────────────────────────── Explore AI Fit Academy – Malcolm's program helping professionals and teams apply AI tools effectively in work and business. Ship First, Study Later – working workflows by Week 2 or 100% refund. Learn more at https://www.werchota.ai/ai-fit-academy ─────────────────────────────────────────────────────── TAGS FOR SOCIAL & SEARCH ─────────────────────────────────────────────────────── #ChipShortage #AutomotiveIndustry #SupplyChain #Semiconductors #Geopolitics #USChinaTechWar #Manufacturing #Nexperia #Netherlands #China #SupplyChainManagement #GeopoliticalRisk #AutomotiveCrisis #TechPolicy #AIInfrastructure

    26 min

  2. 19 HR AGO

    E84 - AI Drama | Brazil's Lesbian Dating App Disaster: AI Security Flaw

    🎧 Listen now: Spotify: https://open.spotify.com/episode/249ZA6nHHoKmaiGYqY6Jum?si=91mGWjWJT-ur14At1KWpjA Apple Podcast https://podcasts.apple.com/at/podcast/brazils-lesbian-dating-app-disaster-ai-security-flaw/id1846704120?i=1000732455609 💔 Description Marina thought she finally found safety. A lesbian dating app in Brazil — built by queer women, for queer women. Manual verification. No fake profiles. No men. Then everything went wrong. In September 2025, Sapphos launched as a sanctuary with government-ID checks. Within 48 hours, 40,000 women downloaded it. A week later, a catastrophic flaw exposed the most sensitive data of 17,000 users — IDs, photos, names, birthdays. 🔍 One researcher discovered he could view anyone’s profile just by changing a number in a URL. That’s how fast “safety” can vanish when speed beats security. 🧠 What This Episode Covers This episode of AI Drama investigates how AI-generated code, underqualified devs, and “vibe coding” collided with a vulnerable community. It’s not a takedown of two activists — it’s a warning about asking for extreme trust without professional security. 🎓 You’ll Learn How a single IDOR-style bug leaked government IDs and photosWhy AI-generated code often ships with hidden flawsThe unique threats LGBTQ+ apps face in high-violence regionsWhat happened after the founders deleted evidence of the breachHow to spot red flags before uploading your ID anywhere ⚠️ The Real Stakes 🇧🇷 Brazil remains one of the most dangerous countries for LGBTQ+ people. Lesbian and bisexual women face three times higher rates of violence than straight women. For many Sapphos users, being outed wasn’t embarrassing — it was life-threatening. 🧩 What Went Wrong Identity checks increased trust — but concentrated riskWhen one app collects IDs, selfies, and locations, a single bug exposes everythingAI sped up insecure coding — ~45 % of AI-generated code has vulnerabilitiesNo audits, no penetration tests, poor access controlLogs deleted → evidence erasedCommunication failed: instead of transparency, users saw silence and denial 🚨 Red Flags Before Trusting an App ✅ Verified security audits (SOC 2 / ISO 27001) ✅ Transparent privacy policy + deletion options ✅ Minimal data collection — no unnecessary IDs ✅ Public security contact or bug-bounty page ✅ Experienced, visible founding team ❌ Avoid apps claiming “100 % secure” or “completely private” 🛡️ Safer Habits 🔑 Use unique emails + a password manager 🕵️ Prefer privacy-preserving verification methods 📍 Turn off precise location & strip photo metadata 🆔 After any breach: change credentials, rotate IDs if possible, monitor credit 💬 Notable Quotes “Marina’s only ‘mistake’ was trusting people who promised protection.”“The lesson isn’t don’t build — it’s don’t build insecure. Demand proof, not promises.” 📊 Select Facts ~45 % of AI-generated code shows security flawsLGBTQ+ users face more online harassmentBrazil records one LGBTQ+ person killed every ~48 hours🎙️ AI Drama is a narrative-journalism podcast about the human cost when technology fails those who trust it most. Hosted by Malcolm Werchota. 🔍 SEO Keywords dating-app breach • LGBTQ privacy • Brazil • ID verification • AI code security • queer safety

    9 min

  3. 1 DAY AGO

    E83 - Weekly News Recap - Google's Cancer Breakthrough & ChatGPT Updates

    Google DeepMind's AI just discovered a new cancer treatment that scientists validated in the lab - and it could transform how we treat 85% of lung cancers. This is AI's moonshot moment. In Episode 83 of The AI Cookbook, Malcolm Werchota breaks down the 5 biggest AI stories from October's second week, proving we're witnessing the industrialization of artificial intelligence. From breakthrough medical discoveries to tools that finally make AI adoption measurable, this weekly recap delivers the business insights you need in under 15 minutes. What You'll Learn: How Google's Cell-to-Sentence 27B model discovered a drug that makes "cold tumors" visible to immune systems, achieving 50% increase in antigen presentationOpenAI's controversial policy shift allowing adult content generation - and what Sam Altman's "we're not the moral police" means for AI competitionWhy Google is investing $15 billion in India's largest data center outside the US (hint: 1.4 billion potential users)Claude Haiku 4.5: Anthropic's new model runs 4-5x faster than Sonnet, achieves 73% on coding benchmarks, and costs one-third as muchMicrosoft Copilot's game-changing benchmarking tool in Viva Insights - finally, a measurable AI adoption score you can track against peer companies Why This Matters: Malcolm draws a powerful parallel to Ford's assembly line innovation. The cancer discovery proves AI can do breakthrough scientific work. The new tools - faster AI agents, adoption metrics, and massive infrastructure investments - show we now have everything needed to deploy AI at industrial scale. "We're getting to a point where the validation of AI isn't 'Can you build me a nice itinerary for my vacation in Rome?' But can you make a new discovery that will save patients' lives?" Perfect For: Business leaders tracking AI adoption, professionals implementing AI tools, teams measuring AI ROI, anyone who needs practical AI insights without the hype. KEY TOPICS COVERED ─────────────────────────────────────────────────────── Google DeepMind's Cancer Treatment Discovery (00:45)Cell-to-Sentence 27B model identifies new immunotherapy pathwayDrug silmitacertib makes "cold tumors" visible to immune system50% increase in antigen presentation validated experimentallyTarget: small cell lung cancers (85% of all lung cancer cases)Proves AI can make genuine scientific breakthroughsOpenAI's Adult Content Policy Reversal (03:20)Following Grok/XAI's lead by allowing adult content generationSam Altman: "We're not the moral police"Analysis of competitive pressure from less restrictive AI modelsPrivacy and ethical implications for enterprise AI adoptionGoogle's $15 Billion India Data Center Investment (05:45)One of Google's largest data centers outside the United StatesGigabyte-scale computing infrastructurePower requirements equivalent to 750,000 homesStrategic positioning for India's 1.4 billion populationWhat this infrastructure buildout signals about AI's future scaleAnthropic Releases Claude Haiku 4.5 (07:30)Runs 4-5x faster than Claude Sonnet 4.5Achieves 73% on SWE coding benchmarkOptimized for AI agent orchestration and multi-agent platformsAvailable on Claude Code, API, Amazon BedrockOne-third the cost of Sonnet with near-equivalent performanceWhy speed and cost matter for business AI adoptionMicrosoft Copilot Benchmarking Tool - Malcolm's Favorite (09:15)New feature in Viva Insights platformCreates measurable AI adoption scores for organizationsBenchmark your Copilot usage versus peer companiesTrack adoption by region, job role, and compare to top performersFinally: accountability and quantitative metrics for AI transformationWhy measurement is the missing piece for enterprise AI adoption ─────────────────────────────────────────────────────── EPISODE INSIGHTS ─────────────────────────────────────────────────────── Malcolm's Overarching Theme: "Industrialization of AI" Malcolm compares this moment to Henry Ford's assembly line innovation - not because the technology is new, but because we're finally scaling proven capabilities for universal deployment. The Google cancer discovery validates that AI can do genuinely important work. The supporting stories (Haiku's speed, Microsoft's metrics, Google's infrastructure) prove we now have the tools to industrialize AI across every business function. Notable Quote: "We're getting to a point where the validation of AI isn't anymore 'Can you build me a nice itinerary for my vacation in Rome?' But can you make a new discovery that will save patients' lives? That's what we're seeing this week." ─────────────────────────────────────────────────────── RESOURCES & LINKS MENTIONED ─────────────────────────────────────────────────────── Google DeepMind Cell-to-Sentence 27B model announcementAnthropic Claude Haiku 4.5 release documentationMicrosoft Viva Insights Copilot DashboardOpenAI content policy updates ─────────────────────────────────────────────────────── WHERE TO FIND MALCOLM WERCHOTA ─────────────────────────────────────────────────────── LinkedIn: https://www.linkedin.com/in/malcolmwerchota/ Website: https://www.werchota.ai/ YouTube: https://www.youtube.com/@werchota X: https://x.com/malcolmwerchota Facebook: https://www.facebook.com/people/AI-Cookbook-by-Malcolm-Werchota/61580362300250/?sk=reels_tab Instagram: https://www.instagram.com/malcolmwerchotaai/ TikTok: https://www.tiktok.com/malcolmwerchota ─────────────────────────────────────────────────────── GET IN TOUCH ─────────────────────────────────────────────────────── Have questions about AI implementation or want to share your transformation story? Reach Malcolm at malcolm@werchota.ai ─────────────────────────────────────────────────────── EMAIL THE SHOW ─────────────────────────────────────────────────────── Write to us with episode requests, feedback, or ideas at social@werchota.ai ─────────────────────────────────────────────────────── READY TO LEVEL UP YOUR AI SKILLS? ─────────────────────────────────────────────────────── Explore AI Fit Academy – Malcolm's program helping professionals and teams apply AI tools effectively in work and business. Ship First, Study Later – working workflows by Week 2 or 100% refund. Learn more at https://www.werchota.ai/ai-fit-academy ─────────────────────────────────────────────────────── TAGS FOR SOCIAL & SEARCH ─────────────────────────────────────────────────────── #AICancerTreatment #GoogleDeepMind #MicrosoftCopilot #ClaudeAI #AIAdoption #AIBusinessTools #AnthropicClaude #AIAgents #OpenAI #AIMetrics #BusinessAI #AITransformation #PodcastAI #AINews #TechNews

    20 min

  4. 3 DAYS AGO

    E82: Dubai's $1.4T AI Push: Strategic Expansion Insights from GITEX

    Just back from GITEX Global 2025 in Dubai, our Managing Partner Sumeyra Yildirim noticed something fundamental: the conversation has shifted from “what can AI do?” to “how do we scale it?”—and the UAE ecosystem is deliberately optimized for speed. In this episode, Malcolm Werchota breaks down why werchota.ai is seriously exploring expansion to the UAE, sharing insights from Dubai’s largest tech conference and the strategic logic behind this decision. What you’ll discover: The infrastructure reality: $1.4 trillion US investment framework, 500,000 Nvidia chips annually, and the 5-gigawatt Stargate UAE AI campus—50× larger than typical data centers.Why the UAE government is racing toward becoming the world’s first AI-native government by 2027, with AI CEOs in every ministry since 2017.How werchota.ai’s proven DACH market model could accelerate in an ecosystem where regulatory frameworks enable rather than slow deployment.The competitive advantage of dual-market operations: learn fast in one market, apply lessons with proper governance in another.Real examples of deployment timeline differences—three months in Dubai versus eighteen months in Germany for identical AI solutions. Episode Summary: Malcolm Werchota explores werchota.ai’s strategic consideration of UAE expansion, sharing data-driven insights from GITEX Global 2025. The episode examines how the UAE’s AI-optimized ecosystem—backed by $1.4 trillion in infrastructure investment, deliberate government policy, and rapid deployment frameworks—creates a unique environment for AI transformation at scale. Key Topics Covered Market shift: from “what can AI do?” to “how do we scale it?”$1.4T UAE investment framework and US partnerships500,000 Nvidia AI chips annuallyStargate UAE: 5GW AI campus (50× typical data center)Abu Dhabi’s $3.5B AI-native government strategy (by 2027)Mohamed bin Zayed University of AI & K–12 mandatory AI educationGITEX 2025 highlights: autonomous governance, quantum AI, digital twinsDeployment timeline: 3 months (Dubai) vs 18 months (Germany)Dual-market acceleration modelMGX sovereign wealth fund ($100B+ AI investments)G42, Technology Innovation Institute, and UAE global AI partnershipsNotable Statistics MetricFigureUAE–US Investment Framework$1.4T (10 years)ADNOC AI Expansion$440BNvidia Chips Imported500,000/yearStargate AI Campus5GW (50× average DC)MGX Fund Target$100B+MGX Data Center Acquisition$40BUAE Tech Funding (H1 2025)$1BAbu Dhabi Gov’t Digital Strategy$3.5B (2025–2027)Global AI Startup Funding Share53%New Jobs from Copilot UAE152,000AI GDP Target13.6% by 2031Fully AI-native Government Target2027Resources & ReferencesUAE AI Initiatives: GITEX Global 2025UAE National AI Strategy 2031Abu Dhabi Digital Strategy 2025–2027Stargate UAE AI Campus Organizations Mentioned: G42, MGX, Mohamed bin Zayed University of AI, Technology Innovation Institute, ADNOC, Du Global Partners: OpenAI, Microsoft, Nvidia, Oracle, Cisco, SoftBank, BlackRock, Cerebras Systems Contact & LinksMalcolm Werchota 🔗 LinkedIn 🌐 Website 🎥 YouTube 🐦 X (Twitter) 📘 Facebook 📸 Instagram 🎵 TikTok Email Contacts: General: malcolm@werchota.aiGCC Inquiries: Sumeyra Yildirim (Managing Partner, GCC)Show Feedback: social@werchota.ai AI Fit Academy: Learn AI tools hands-on. Ship First, Study Later — working workflows by Week 2 or 100% refund. 👉 Learn more

    23 min

  5. 5 DAYS AGO

    E81: Build Better AI Agents (Part 2): The Five Building Blocks of Context Engineering

    After learning why AI agents fail in Part 1 (attention budget, context rot, orchestration limits), Malcolm Werchota now reveals how to build scalable, long-running AI systems using Anthropic’s framework for Context Engineering. This episode goes beyond prompts — it’s about architecture. Malcolm introduces the five building blocks of Context Engineering: 1️⃣ System Prompts – Define your agent’s identity, purpose, core capabilities, and quality standards. 2️⃣ Minimal Tool Sets – Stop giving 20 tools; focus on what’s essential. 3️⃣ Just-in-Time Retrieval – Only load information when it’s needed, not everything at once. 4️⃣ Long-Horizon Strategies – Extend runtime with compaction, note-taking, and delegation. 5️⃣ Examples & Patterns – Train with diverse examples, anti-patterns, and confidence scoring. Using practical cases from Werchota.ai — like invoice automation and large-scale feedback analysis — Malcolm demonstrates how these techniques turn fragile “demo agents” into reliable production-grade systems. Key topics: agent architecture, context optimization, compaction, token management, orchestration patterns, Anthropic Claude Code implementation, and how to scale AI workflows in production environments. Perfect for professionals working with Claude, GPT-5, or Gemini — and anyone ready to move from prompt engineering to system thinking. 🗒️ SHOW NOTES Episode 81, Part 2: Build Better AI Agents Through Context Engineering Malcolm Werchota breaks down the five practical building blocks of Context Engineering, showing how to design scalable AI systems that actually think ahead — not just follow commands. WHAT YOU’LL LEARNThe five key building blocks of Context EngineeringHow to write effective system prompts that guide decision-makingWhy fewer tools = better agentsHow to implement Just-in-Time data retrievalExtending AI lifespan through compaction and delegationUsing examples and anti-patterns to improve agent reasoningConfidence scoring and note-taking for long-running tasks KEY TAKEAWAYSSystem Prompts: Define identity, purpose, and quality — short and structured (600–800 tokens).Minimal Tool Sets: Reduce decision complexity; fewer, focused tools improve speed and reliability.Just-in-Time Retrieval: Load only what’s needed in context; one file or task at a time.Long-Horizon Strategies: Use compaction, external note-taking, and delegation to prevent context overload.Examples & Patterns: Teach your agents from both successes and failures — diversity beats volume.REAL-WORLD USE CASESInvoice automation using Claude Code orchestrationCustomer feedback summarization (10,000 → 5,000 words)Parallel sub-agent processing (reading 10 invoices simultaneously)Long-running report generation using compaction & note-taking TOOLS & PLATFORMSClaude Code (Anthropic)Claude Sonnet 4.5 (1M-token context window)Gemini 2.5 (1M-token context window)ChatGPT-5 (200k-token context window)Werchota.ai Cloud Dashboard (Episode Notes) RESOURCESAnthropic Research: Effective Context Engineering for AI AgentsPrevious Episode: Build Better AI Agents – Part 1 (Context Engineering Basics)Claude Code DocumentationWerchota.ai Blog: “Context Engineering in Real Workflows” MALCOLM’S KEY INSIGHTS“Don’t give your agent 20 tools — it will spend half its energy deciding which one to use.”“The future of AI isn’t about bigger models. It’s about better architecture and context engineering.”“System prompts are not messages — they’re thinking frameworks.”“Context engineering turns fragile demos into production systems.” 🔗 WHERE TO FIND MALCOLM WERCHOTA LinkedIn → linkedin.com/in/malcolmwerchota Website → werchota.ai YouTube → youtube.com/@werchota X → x.com/malcolmwerchota Facebook → AI Cookbook by Malcolm Werchota Instagram → @malcolmwerchotaai TikTok → @malcolmwerchota 📧 Get in touch: Questions, feedback, or transformation stories → malcolm@werchota.ai Episode ideas → social@werchota.ai 🎓 Upgrade your AI skills: Join the AI Fit Academy — Malcolm’s hands-on program that helps professionals and teams ship real AI workflows by Week 2 — or your money back. Learn more → werchota.ai/ai-fit-academy

    32 min

  6. 6 DAYS AGO

    E80: Build Better AI Agents: Context Engineering Over Prompts (Pt. 1)

    Your AI agents work—but they’re not smart. They follow instructions, yet fail on edge cases, forget context mid-task, and need constant supervision. Malcolm Werchota reveals why your invoice automation, podcast metadata generation, and business workflows keep breaking down—and why it’s not the AI’s fault. The missing piece is context engineering, a concept most people have never heard of. In this two-part series, Malcolm breaks down Anthropic’s groundbreaking research on how to build AI agents that actually think ahead. Learn why prompt engineering is no longer enough, how attention budget silently kills your automations, what context rot does to long-running tasks, and how the orchestrator pattern allows AI agents to spawn helper agents on demand. You’ll hear how Malcolm’s team cut invoice processing time from 45 minutes to zero human intervention—and why feeding your AI more data can actually make it dumber. This episode isn’t about magic prompts. It’s about designing the entire environment your AI operates in. Key topics: AI agent automation challenges, context window vs. attention budget, why mega-prompts fail, orchestrator pattern design, system prompt architecture, tool-calling strategies, and scalable AI workflows. Perfect for professionals implementing Claude AI, automating business processes, or frustrated with unreliable AI agents. Malcolm’s “Ship First, Study Later” approach means real implementation—not theory. Part 2 dives into advanced system prompts, minimal tool sets, and managing long-running tasks without context explosion. WHAT YOU’LL LEARNWhy functional AI agents still fail at business automationThe difference between prompt vs. context engineeringHow attention budget and context rot sabotage your workflowsThe orchestrator pattern: when agents build their own helpersReal-world cases: invoices, podcasts, and process automationWhy mega-prompts make AI dumber—and what to do insteadAnthropic’s context engineering frameworkHow to design information architecture for Claude and other LLMs TOOLS & PLATFORMSClaude Code (Anthropic)Claude Sonnet 4.5 (1M token window)Gemini 2.5 (1M token window)ChatGPT (100–200k token window)10 Valley OS (TenVOS) – context engineering case studyRESOURCESAnthropic Research: Effective Context Engineering for AI AgentsPrevious Episode: Building Claude Code AgentsPrevious Episode: 10 Valley OS – Context Engineering in ActionMALCOLM’S KEY INSIGHTS“It’s like having an employee who follows orders perfectly—but never takes initiative or thinks ahead.”“Context engineering manages everything the model uses: system instructions, tools, message history—not just the prompt.”“The challenge now isn’t crafting perfect prompts. It’s curating the information within the model’s limited attention budget.”“Don’t feed it a billion files. Use the smallest, clearest, highest-signal inputs possible.” COMING IN PART 2 Advanced system prompt structureMinimal tool sets for reliabilityHandling long-running tasks without context explosionPractical implementation blueprints 🔗 WHERE TO FIND MALCOLM WERCHOTA LinkedIn → linkedin.com/in/malcolmwerchota Website → werchota.ai YouTube → youtube.com/@werchota X → x.com/malcolmwerchota Facebook → AI Cookbook by Malcolm Werchota Instagram → @malcolmwerchotaai TikTok → @malcolmwerchota 📧 Get in touch: Questions, feedback, or transformation stories → malcolm@werchota.ai Episode ideas → social@werchota.ai 🎓 Upgrade your AI skills: Check out the AI Fit Academy, Malcolm’s hands-on program that gets professionals shipping working AI workflows by Week 2—or your money back. Learn more → werchota.ai/ai-fit-academy

    27 min

  7. 12 OCT

    E79: AI Cybersecurity: How Hackers Use ChatGPT & Claude for Ransomware

    80% of ransomware attacks now use artificial intelligence. In this episode, Malcolm Werchota exposes how criminals with zero programming experience are using ChatGPT and Claude to build sophisticated cyberattacks—and why your business might already be compromised. Discover the real case of "Mr. X," who used AI to infiltrate 17 organizations, steal financial data, and craft psychologically-targeted ransom demands worth up to $500,000—all without understanding basic code. Learn how North Korean operatives used AI to pass technical interviews at Fortune 500 companies, get hired by HR, and maintain false identities for years while extracting intellectual property. This isn't theoretical. The Anthropic August 2025 Threat Intelligence Report reveals actual chat logs showing criminals asking AI: "How much ransom can this victim afford?" and "Can you write me a customer support bot for my ransomware buyers?" Malcolm breaks down the democratization of cybercrime through "vibe hacking"—where AI eliminates every barrier to sophisticated attacks. From healthcare systems to religious institutions, from emergency services to small businesses, no organization is safe when a 10-year-old in Iceland or a 90-year-old in Kenya can launch enterprise-grade attacks using conversational AI. Key Insights & Quotes "This isn't just cybercrime. This is AI-powered psychological manipulation conducted by people like you and I, who are basically not cyber criminals." "You don't need a cybercrime MBA. Just ask Claude." "AI-powered operatives don't just blend in. They do a very, very good job. They might be the best performers on your team, and you don't really know it." "We're witnessing the complete democratization of sophisticated cybercrime capabilities. Everybody listening to this podcast can become a sophisticated cybercriminal." "Would you rather be attacked by a human cybercriminal? Or would you rather be attacked by an AI agent? Experts say 100%—they would prefer a human attacker. Why? Because humans need sleep, they make mistakes, and they can be profiled and predicted." "In an AI-powered world, your security is only as strong as your willingness to really embrace AI in your company." Resources & References Mentioned Anthropic August 2025 Threat Intelligence Report: Official documentation of AI misuse casesIBM Security Intelligence Podcast: Analysis of AI vs. AI in cybersecurityDepartment of Justice: Documentation of 300+ US companies hiring North Korean operativesMIT Sloan Research: 80% of ransomware attacks now use AITenValley OS Episode: Referenced for AI agent orchestration capabilities About This Episode This episode is part of Malcolm Werchota's AI Cookbook Show, recorded live from Bregenz. Malcolm brings his signature "Ship First, Study Later" philosophy to cybersecurity, delivering actionable intelligence without academic jargon. Perfect for business owners, IT professionals, security teams, and anyone navigating the intersection of AI and organizational security. Episode Type: Educational / Investigative Difficulty Level: Intermediate (accessible to non-technical audiences) Best For: Business owners, IT departments, security professionals, tech enthusiasts Related Topics: AI security, ransomware protection, threat intelligence, workplace security Where to find Malcolm Werchota: LinkedIn: https://www.linkedin.com/in/malcolmwerchota/ Website: https://www.werchota.ai/ YouTube: https://www.youtube.com/@werchota X: https://x.com/malcolmwerchota Facebook: https://www.facebook.com/people/AI-Cookbook-by-Malcolm-Werchota/61580362300250/?sk=reels_tab Instagram: https://www.instagram.com/malcolmwerchotaai/ TikTok: https://www.tiktok.com/malcolmwerchota Get in touch: Have questions about AI implementation or want to share your transformation story? Reach Malcolm at malcolm@werchota.ai Email the Show: Write to us with episode requests, feedback, or ideas at social@werchota.ai Ready to level up your AI skills? Explore AI Fit Academy – Malcolm's program helping professionals and teams apply AI tools effectively in work and business. Ship First, Study Later – working workflows by Week 2 or 100% refund. Learn more at https://www.werchota.ai/ai-fit-academy Tags: #AICybersecurity #RansomwareAttacks #ChatGPTHacking #BusinessSecurity #AIThreats #CybercrimeAI #NorthKoreaHackers #PhishingAttacks #AIDefense #CybersecurityThreats #MalcolmWerchota #AIWorkflows #EnterpriseSecurity #ThreatIntelligence #AIRisks

    30 min

  8. 11 OCT

    E78: Chip Wars 2.0: US-China AI Supply Chain Crisis, Gemini & Microsoft Talent | Weekly AI

    The US–China chip wars just entered a dangerous new phase. China announced rare earth export controls on materials critical for AI chip manufacturing the same week Trump imposed 100% tariffs on Chinese imports. This isn’t just geopolitical theater—your AI infrastructure costs and availability are about to change dramatically. In this week’s AI roundup, Malcolm Werchota breaks down what’s actually happening in the global AI supply chain and why European businesses can’t afford to sit on the sidelines. We’re covering OpenAI’s DevDay announcements (App SDK, Agent Kit, Chat Kit), Google’s Gemini Enterprise launch as a Copilot alternative, and Europe’s €1.1 billion AI sovereignty plan. But the headline story is geopolitical: rare earth materials, chip manufacturing bottlenecks, and the real possibility of supply chain disruptions that could impact your AI deployment plans. When 90% of rare earth processing happens in China and they just put export controls in place, every business using AI infrastructure needs to pay attention. We also explore a troubling trend of fake AI experts appearing in major media outlets like the BBC and Guardian, Microsoft’s strategic talent acquisitions (including Kubernetes creator Brendan Burns and Python inventor Guido van Rossum), and why the future of AI competition isn’t about model quality anymore—it’s about trust, governance, and human amplification. Who Should Listen:Business leaders, technology professionals, and anyone making decisions about AI infrastructure investments who needs to understand how geopolitical tensions affect AI deployment costs, availability, and strategic planning. Malcolm’s Take: “We’re shifting from a world where AI competition was about model quality to one where it’s about trust, governance, and supply chain resilience.”“When 90% of rare earth processing happens in China and they just put export controls in place, every business using AI infrastructure needs to pay attention.”“Europe’s €1.1 billion AI sovereignty plan isn’t just about independence—it’s about recognizing that relying on US and Chinese infrastructure carries real geopolitical risk.”“The fake AI experts in mainstream media aren’t just a credibility problem—they’re actively misleading businesses about what’s actually possible with AI.” Resources MentionedOpenAI DevDay 2025 announcementsGoogle Gemini Enterprise launch detailsEuropean Commission AI sovereignty planAnalysis of China’s rare earth export controlsMicrosoft Copilot vs. Google Gemini comparisonsAI chip shortage forecasts from Bain & Company Where to find Malcolm WerchotaLinkedIn: linkedin.com/in/malcolmwerchota Website: werchota.ai YouTube: youtube.com/@werchota X: x.com/malcolmwerchota Facebook: AI Cookbook by Malcolm Werchota Instagram: @malcolmwerchotaai TikTok: tiktok.com/malcolmwerchota Get in touchHave questions about AI implementation or want to share your transformation story? Reach Malcolm at malcolm@werchota.ai Email the ShowSend feedback, episode requests, or story ideas to social@werchota.ai AI Fit AcademyLevel up your AI skills with AI Fit Academy – Malcolm’s program helping professionals and teams apply AI tools effectively in work and business. Ship First, Study Later – working workflows by Week 2 or 100% refund. Learn more: werchota.ai/ai-fit-academy

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About

Malcolm Werchota's AI Cookbook is where artificial intelligence meets authentic business transformation. Known for his direct style and willingness to show AI in action—even during live presentations—Malcolm helps organizations understand that AI isn't about replacing humans but amplifying their capabilities. From voice-note productivity hacks to real-time meeting intelligence, this podcast delivers actionable insights for immediate implementation.

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    Malcolm Werchota
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    The AI Cookbook: AI Tools | Enterprise AI | Leadership
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