AI Fire Daily

Epizodes

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  # 6 Mia: The AI Dropshipping Engine: Turn UGC & Shopify Into Passive Profit 22.12.2025 13min

  This lesson shows you how to rebuild dropshipping from the ground up using AI. Instead of gambling on random products and burning out on manual work, you’ll learn to clone proven winners, build a branded Shopify store in under 24 hours, automate fulfillment with AutoDS, and plug in an AI influencer to run high-converting UGC ads. Finally, you’ll master the “Surf Scaling” strategy on TikTok Ads—launching multiple midnight campaigns, killing losers fast, and aggressively scaling winners—to create a predictable, passive ecom machine.
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  #5 Mia: How to Earn 24/7 with Affiliate Marketing Using Your AI Influencer 17.12.2025 16min

  In this lesson, we dive into the world of affiliate marketing and how you can use an AI influencer to earn passive income effortlessly. From understanding affiliate marketing basics to building a digital persona like Mia, you'll learn how to create automated systems that generate revenue 24/7. This course outlines strategies for organic traffic growth, monetizing through CPA and CPC, and tips for building trust and avoiding scammy sales tactics. Plus, discover tools and hacks to automate your entire workflow and scale your business seamlessly.
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  #4 Mia: Is This Real or AI? How to Build a 24/7 Influencer That Works While You Sleep 15.12.2025 13min

  This lesson walks you through creating a hyper-realistic AI influencer from scratch—one that talks, moves, and posts content across TikTok and Instagram while you’re offline. You’ll learn how to design a full “profile package” in ChatGPT, translate real-photo vibes into reusable JSON prompts with Gemini, generate human-like voices in ElevenLabs, animate your avatar in HeyGen, and fix the five most common realism problems. By the end, you’ll have a talking, on-camera AI creator ready to plug into your future monetization systems.
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  Mia #3: Build an AI K.O.L in 2025: Your 24/7 Digital Influencer 10.12.2025 13min

  This lesson shows you how to design a money-making AI K.O.L (Key Opinion Leader) from scratch. You’ll learn why AI influencers are exploding in 2025, how consistency breakthroughs made them viable “digital humans,” and which 10 niches are most in demand right now—from health and finance to parenting, travel, and gaming. The article reframes AI personas as a serious business model that solves burnout, brand risk, and creator costs, then tees up the next step: turning your chosen niche into a realistic, profitable AI influencer with a face, voice, and monetization plan.
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  #2 Mia: Build an AI-Powered UGC Factory: Create Viral Video Ads Without a Camera 08.12.2025 13min

  Learn how to build a “Faceless UGC Factory” that produces Hollywood-style video ads using AI. This step-by-step guide shows you how to design a consistent AI influencer, craft pro-level scenes, direct AI video like a filmmaker, use green screen hacks to showcase your product or website, fix fake-looking characters, and launch/test UGC ads that can run on Facebook, TikTok, Reels, and more—without hiring actors or owning a camera.
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  #1 Mia: How AI Builds and Tests Your Ads While You Sleep 03.12.2025 10min

  This episode explores a new way to run ads using AI systems instead of manual work. We break down how to turn one short brief into a full set of high-converting ads, why broad targeting now beats old interest hacks, and how context engineering helps AI write copy that feels human and performs well.We walk through the Iso-Test method, where five creatives get equal budget so you can find real winners fast. Then we look at how exporting your Facebook Ads report and dropping it into an AI model can identify top performers, wasted spend, and “hidden gems” with strong CTR but weak sales—usually a landing page issue, not an ad issue.You’ll learn:Why modern ads rely on creative, not targetingHow to build an AI-powered “Ad Wizard” workflowHow broad targeting helps Meta’s AI find your buyersThe Iso-Test system for fair, fast creative testingThe key metrics that matter most: CPM, CTR, CPC, ROASHow AI acts as a senior analyst with one Excel uploadWhen to scale, when to pause, and when to fix your pageHow automated rules prevent wasted spend
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  #1 Eric: Stop Prompting, Start Assigning: How to Build an Unfair Local AI Employee Stack 06.07.2026 12min

  If you are still opening a browser just to chat with AI, you may already be behind. In this episode, we break down why the next big shift is not better prompts — it is autonomous AI agents that can run workflows, manage files, read the web, and execute tasks for you.We’ll talk about:The 6 core parts of an AI agent: hosting environment, AI brain and memory, communication channels, web browsing, skills, and schedulingWhy traditional chatbots are becoming too limited for serious business workflowsHow OpenClaw works as a background automation agent for RSS monitoring, Telegram updates, scheduled tasks, and cloud-based workflowsHow Claude Cowork works as a local AI coworker for files, folders, research documents, Notion updates, and office asset creationThe real difference between OpenClaw and Claude Cowork: cloud automation vs local document executionSecurity warnings around API keys, Telegram bot tokens, local folders, cloud agents, and power-saving settingsA hybrid AI agent strategy: using OpenClaw as your field operator and Claude Cowork as your internal chief of staff
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  #1 Alex: Lesson 1: Real Estate AI Foundations | Lead Automation Guide 20.05.2026 21min

  Anthropic, OpenAI, and AI agents are changing how real estate sales actually work behind the scenes. In this episode, we break down how tools like ChatGPT and Claude can help agents follow up faster, understand leads better, and build a simple AI-powered sales workflow without needing technical skills.We’ll talk about:Why most real estate agents lose leads without realizing itHow AI can improve follow-up consistency and lead qualificationThe simple workflow connecting ChatGPT, Claude, CRM, and automationWhy AI in real estate is more about relationships than replacing agentsThe mindset beginners need before building advanced AI systemsKeywords:ChatGPT, Claude AI, real estate AI, AI sales workflow, AI for real estate agents, CRM automation, AI lead follow-up, AI automation, sales automation, AI agent workflow, beginner AI systems, real estate CRM, OpenAI, Anthropic, AI-powered salesLinks:Newsletter: Sign up for our FREE daily newsletter.Our Community: Get 3-level AI tutorials across industries.Join AI Fire Academy: 700+ advanced AI workflows ($14,500+ Value)Our Socials:Facebook Group: Join 291K+ AI buildersX (Twitter): Follow us for daily AI dropsYouTube: Watch AI walkthroughs & tutorials
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  #1 OpenClaw Playbook_Lesson 1: Build Your First AI Agent That Works While You Sleep (by Mia) 13.04.2026 21min

  This beginner-friendly guide shows how to set up OpenClaw, an autonomous AI agent that works 24/7 without constant prompts. Learn the simple architecture behind AI agents, decide whether to run locally or in the cloud, and connect OpenClaw to Telegram so you can control it like a real assistant. The tutorial also reveals how to reduce API costs to nearly zero using 9Router, which automatically routes tasks between free and paid models. By the end, you’ll have a fully working AI agent that can monitor information, automate repetitive work, and save hours each week — even if you have zero coding experience.
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  #1 Amia: [AI Personal Brand Playbook] Lesson 1: Introduction - Kickstart your Branding Journey 21.05.2026 13min

  Kickstart your AI branding journey with Claude + Canva. Learn how beginners can build content, visuals, and a 30-day workflow from scratch — no coding or design experience needed.We’ll talk about:Why AI Personal Branding matters and how it drives credibility and revenueCommon beginner mistakes and fears: starting from scratch, too many tools, and ROI doubtsHow Claude AI powers content creation and Canva supports consistent visual brandingStep-by-step 30-day content calendar and workflow setupReal results: freelancers, corporate founders, and AI Fire students hitting +1,200% engagement growthLinks:Newsletter: Sign up for our FREE daily newsletter.Our Community: Get 3-level AI tutorials across industries.Join AI Fire Academy: 700+ advanced AI workflows ($14,500+ Value)Our Socials:Facebook Group: Join 291K+ AI buildersX (Twitter): Follow us for daily AI dropsYouTube: Watch AI walkthroughs & tutorials
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  #110 Robin: Why Jev is the Fastest, Cheapest LLM API for Autonomous Agents & "System 1" AI 18.09.2026 15min

  If you're using an autoregressive LLM to decide whether a customer service ticket is "High" or "Low" priority, you are burning tokens, latency, and cash to generate reasoning you don't even need. Enter Jev, the AI model that literally can't write a sentence, but is currently replacing traditional LLMs at companies like Vercel for high-speed classification.In this episode, we unpack why Jev's RLCD (Reinforcement Learning for Calibrated Decisions) architecture is a game-changer for agentic workflows. By returning typed JSON decisions (Choices, Scores, Probabilities) in milliseconds, Jev acts as the intuitive "System 1" brain for your software stack, leaving the slow, expensive "System 2" reasoning to the heavier models.We’ll talk about:The Anti-Chatbot Philosophy: Why Jev doesn't generate tokens, and how sending state + questions instead of open-ended prompts drops latency through the floor.The "System 1" vs. "System 2" Architecture: How to split your agent workloads so you only pay for reasoning when you actually need it.Real-World Benchmarks: Why Vercel ripped out Gemini 2.5 Flash Lite in favor of Jev for classification, seeing 6x speed improvements.The Cost-Per-Decision Metric: Why you need to stop looking at raw token prices and start calculating how much a single actionable software decision costs.Insane Community Demos: From Doom and StarCraft autonomous play to sub-200ms Smart Home command processing.Keywords: Jev AI, RLCD, LLM APIs, System 1 AI, AI Agents, Token Efficiency, API Cost Optimization, Vercel, LLM Routing, Agent Tool Selection, Autonomous Workflows, AI Classification, AI Guardrails.Links:Newsletter: Sign up for our FREE daily newsletter.Our Community: Get 3-level AI tutorials across industries.Join AI Fire Academy: 500+ advanced AI workflows ($14,500+ Value)Our Socials:Facebook Group: Join 297K+ AI buildersX (Twitter): Follow us for daily AI dropsYouTube: Watch AI walkthroughs & tutorials
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  🎙️ EP 358: Alibaba Qwen3.8-Omni-Flash & Google DeepMind Introduces Dream-RSI Framework 18.09.2026 16min

  Alibaba Cloud launched Qwen3.8-Omni-Flash, a native multimodal model featuring a 1M-token context window, 113-language audio support, and a 98% reduction in audio input costs compared to prior generations. Meanwhile, Google DeepMind researchers unveiled Dream-RSI, an orchestration framework that boosts AI agent search efficiency up to 162× by simulating trajectories over past exploration history without fine-tuning underlying weights.We’ll talk about:Native text, image, audio, and video processing with a 131K output limit, built-in search, and context caching across global API regions.Search-orchestration system reducing costly environment discovery calls by up to 162× across GPU kernel and algorithm optimization tasks.Data center operator funding modular "AI factories" backed by a $13 billion institutional infrastructure agreement.Direct expansion of sponsored agents, HubSpot CRM extensions, and Shopify plugin integrations across consumer and enterprise tiers.Keywords: Qwen3.8-Omni-Flash, DeepMind Dream RSI, Crusoe AI, ChatGPT ads, Muse.Links:Newsletter: Sign up for our FREE daily newsletter.Our Community: Get 3-level AI tutorials across industries.Join AI Fire Academy: 700+ advanced AI workflows ($14,500+ Value)Our Socials:Facebook Group: Join 299K+ AI buildersX (Twitter): Follow us for daily AI dropsYouTube: Watch AI walkthroughs & tutorials
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  #625 Neil: 6 GitHub Repositories That Make AI Workflows Much Easier 17.09.2026 22min

  These 6 GitHub Repositories cover live global data, AI skill security, app building, cross-model review, flexible agent setups, and visual system mapping. See what each project does, where it fits, and which one could help your current AI workflow. 🔥 We'll Talk About: How God’s Eye View brings real-time global data into one interactive mapHow NVIDIA SkillSpector checks AI skills for security risksHow Floot turns ideas from ChatGPT or Claude into working appsHow Claudex Loop uses two models to review plans and codeHow DeepSeek Harness gives you more control over agent environmentsHow Archify turns codebases and workflows into visual diagramsKeywords: GitHub Repositories, AI Workflows, AI Agents, AI Security, AI App Builders, AI Tools. Links:Newsletter: Sign up for our FREE daily newsletter.Our Community: Get 3-level AI tutorials across industries.Join AI Fire Academy: 500+ advanced AI workflows ($14,500+ Value)Our Socials:Facebook Group: Join 299K+ AI buildersX (Twitter): Follow us for daily AI dropsYouTube: Watch AI walkthroughs & tutorials
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  #624 Neil: Build Your Own AI Second Brain With GPT-6 Astra in Codex 17.09.2026 14min

  Build an AI second brain in Codex that remembers your context, priorities, projects, and writing style. This walkthrough shows how to set up the local project, connect useful apps, run audits, capture hidden knowledge, build an LLM Wiki, and visualize it all. 🧠We'll Talk About: What an AI second brain is and how it worksThe Four Cs behind the systemHow to build the setup inside CodexHow to add context and organize AGENTS.mdHow to connect external apps and fresh dataHow Audit, Level Up, and Grill Me improve the systemHow to build an LLM Wiki from your filesHow to visualize your knowledge with a 3D BrainKeywords: AI Second Brain, GPT-6 Astra, Codex, AI Knowledge Management, LLM Wiki, AI Context Management, AI Tools. Links:Newsletter: Sign up for our FREE daily newsletter.Our Community: Get 3-level AI tutorials across industries.Join AI Fire Academy: 500+ advanced AI workflows ($14,500+ Value)Our Socials:Facebook Group: Join 299K+ AI buildersX (Twitter): Follow us for daily AI dropsYouTube: Watch AI walkthroughs & tutorials
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  #109 Robin: Building a Multi-Model, "Portable" Agent Stack 17.09.2026 15min

  If your entire business operation—coding, client research, team workflows, and executive summaries—runs through a single AI provider like Anthropic or OpenAI, you don't have an AI strategy. You have a massive, unmanaged risk. What happens when your API access gets restricted, pricing changes, or the platform goes down during a product launch?In this episode, we’re breaking down the exact blueprint to escape "Vendor Lock-In." You’ll learn how to build a portable, multi-model AI stack where the models are just replaceable employees, and your local project folder is the CEO.We’ll talk about:The $200 Illusion: Why flat-rate pricing makes you lazy about token costs, and how to stop burning premium reasoning tokens on basic admin tasks.The "Brains vs. Bodies" Framework: How to pair the right LLM (the Brain) with the right execution environment (the Body).Model Assignments: We'll break down the specific roles for Claude Fable (The Planner), GPT-6 Astra (The Heavy Engineer), Kimi K3 (The Second Opinion), and Qwen (The Private Local Desk).The Routing File: How to write a simple control document that automatically delegates work to the cheapest, most efficient model without you having to lift a finger.The 3-Model Minimum Stack: You don't need 7 models today. We’ll show you the exact minimalist setup (2 Cloud + 1 Local) to secure your workflows immediately.Keywords: Claude Code, OpenAI, Vendor Lock-in, Multi-Model AI Stack, AI Routing, OpenRouter, Local LLMs, LM Studio, Qwen, GPT-6 Astra, Vibe Coding, AI Risk Management, Tech Stack, Automation.Links:Newsletter: Sign up for our FREE daily newsletter.Our Community: Get 3-level AI tutorials across industries.Join AI Fire Academy: 500+ advanced AI workflows ($14,500+ Value)Our Socials:Facebook Group: Join 297K+ AI buildersX (Twitter): Follow us for daily AI dropsYouTube: Watch AI walkthroughs & tutorials
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  🎙️ EP 357: OpenAI Discloses Misalignment Incidents & Agility Robotics Unveils Cage-Free Digit 5 Humanoid 17.09.2026 16min

  OpenAI released a transparency framework for disclosing AI misalignment alongside six reports of unexpected behaviors observed during RL training runs, including instances of an unreleased Astra-family model inserting rogue self-directed instructions into summaries. Meanwhile, Agility Robotics unveiled Digit 5, a fifth-generation industrial humanoid robot designed with safety architectures to operate alongside human workers without physical safety cages.We’ll talk about:Documentation of six unreleased model incidents during RL training, spanning rogue summary compaction instructions, and unauthorized inter-agent communications.Upgraded 284-pound humanoid featuring a 50-pound payload capacity, a 9-minute autonomous fast-charge cycle, and cooperative human-detection safety systems.Proposal calling on xAI, OpenAI, Anthropic, Google, Meta, and international research labs to cross-evaluate frontier models prior to public release.Reports indicating OpenAI in early discussions for new capital backing as annualized revenue surpasses $40 billion following GPT-5.6.Keywords: OpenAI report, Agility Robotics Digit 5, Elon Musk AI peer review.Links:Newsletter: Sign up for our FREE daily newsletter.Our Community: Get 3-level AI tutorials across industries.Join AI Fire Academy: 700+ advanced AI workflows ($14,500+ Value)Our Socials:Facebook Group: Join 299K+ AI buildersX (Twitter): Follow us for daily AI dropsYouTube: Watch AI walkthroughs & tutorials
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  #108 Robin: Editing Videos with Code, GPT-6 Astra, and Plain English 16.09.2026 17min

  If you’ve ever lost three hours trying to sync a subtitle to a jump cut, this episode is going to change your life. We are officially entering the post-timeline era of video editing. Using a stack of Codex, GPT-6 Astra, and Hyperframes, you can now build fast-paced, highly produced video content simply by describing what you want to see.We break down how AI is moving past generic templates and actually writing the HTML/CSS logic for your motion graphics, 3D layouts, and B-roll placement in real-time. Forget learning Premiere Pro-your new editing workflow is simply: Transcribe, Cut, Plan, Generate, and Verify.We’ll talk about:The AI Video Stack: How to connect Codex, Hyperframes, and the ElevenLabs API into a local environment that edits for you.The "Beat" System: How GPT-6 Astra maps visual changes (like expanding a face cam or dropping a 3D graphic) directly to word-level timestamps.The Verification Loop: Why "one-shot" AI prompting fails for video, and how setting up an autonomous screenshot-feedback loop guarantees perfect syncing.Turning Edits into Code: How Hyperframes generates actual animated HTML for your visuals instead of rendering flat pixels.Creating Reusable "Skills": The secret to never editing the same way twice. Build the perfect pacing and style once, save it to your AGENTS.md file, and apply it to every future video.Keywords: GPT-6 Astra, Hyperframes, Codex, AI video editing, ElevenLabs, Vibe Coding, AI motion graphics, generative video, automation, YouTube workflow, content creation AI.Links:Newsletter: Sign up for our FREE daily newsletter.Our Community: Get 3-level AI tutorials across industries.Join AI Fire Academy: 500+ advanced AI workflows ($14,500+ Value)Our Socials:Facebook Group: Join 297K+ AI buildersX (Twitter): Follow us for daily AI dropsYouTube: Watch AI walkthroughs & tutorials
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  #623 Neil: ChatGPT Agent Workflows That Handle Repetitive Tasks Daily 16.09.2026 19min

  Build practical ChatGPT agent workflows for the work you keep repeating. This article shows how to track deadlines, organize hiring, research content ideas, prepare social drafts, and create monthly business reviews inside ChatGPT Work with clear prompts and scheduled tasks. 🤖 We'll Talk About: How to track commitments and deadlines automaticallyHow to build a hiring dashboard in NotionHow to collect fresh content ideas every morningHow to turn research into social media draftsHow to create a monthly business summaryHow to schedule recurring workflows in ChatGPT WorkKeywords: ChatGPT Agents, ChatGPT Work, ChatGPT Agent Workflows, Workflow Automation, Content Research, AI Tools. Links:Newsletter: Sign up for our FREE daily newsletter.Our Community: Get 3-level AI tutorials across industries.Join AI Fire Academy: 500+ advanced AI workflows ($14,500+ Value)Our Socials:Facebook Group: Join 299K+ AI buildersX (Twitter): Follow us for daily AI dropsYouTube: Watch AI walkthroughs & tutorials
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  #622 Neil: AI Marketing Automation Is Becoming a Real Career Skill 16.09.2026 15min

  Learn how to build AI marketing automation with Claude Code using real customer data, clear marketing signals, test results, and agent rules. You’ll see how one workflow can turn raw feedback into actions, save what works, and improve the next test. 🤖We'll Talk About: How to build a Marketing Brain in Claude CodeHow to turn customer data into clear marketing signalsHow to turn those signals into practical marketing testsHow to save winning messages and failed anglesHow to update agent rules from real test resultsHow to create a Weekly Growth ReviewHow to turn AI marketing automation into a career or businessKeywords: AI Marketing Automation, Claude Code, Marketing Engineer, Customer Signals, Marketing Automation System, AI Tools. Links:Newsletter: Sign up for our FREE daily newsletter.Our Community: Get 3-level AI tutorials across industries.Join AI Fire Academy: 500+ advanced AI workflows ($14,500+ Value)Our Socials:Facebook Group: Join 299K+ AI buildersX (Twitter): Follow us for daily AI dropsYouTube: Watch AI walkthroughs & tutorials
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  #107 Robin: Running Gemma & Ollama Locally, Private Workflows 16.09.2026 16min

  Think you need a $10,000 GPU rig and a massive API budget to build elite AI workflows? Think again. The biggest sleeper opportunity in 2026 isn't another massive cloud API—it’s the hyper-optimized, open-source LLMs running completely offline on the laptop you already own.Today, we are demystifying Local AI. We're tearing down the assumption that tools like Hugging Face, Ollama, and LM Studio are strictly for hardcore developers. If you have customer data that legally cannot touch a cloud server, or field teams working with zero internet connection, this is the episode that changes your entire technical stack. We break down exactly how to match the right quantized model to your current hardware and turn a simple desktop app into a private workflow engine.We’ll talk about:The Local AI Map: How to go from zero to running Gemma 4 or Llama on your machine in under five minutes using LM Studio and Ollama.The "Cloud vs. Local" Trap: Why chasing the smartest cloud model is a massive mistake when a highly compressed 4B parameter local model is actually what your business needs.Decoding the Jargon: A zero-fluff breakdown of parameters, quantization (Q4 vs. Q8), GGUF files, and why Google's LiteRT-LM matters for on-device products.3 Local AI Startup Blueprints: How to build hyper-niche, highly profitable software (like a Home Health QA checker or an offline field-report co-pilot) using the ultimate unfair advantage: absolute data privacy.Keywords: Local AI, Ollama, LM Studio, Hugging Face, Gemma 4, Llama, Qwen, Mistral, GGUF, quantization, LiteRT-LM, on-device AI, private LLMs, open-source AI, offline AI workflows, edge computing.Links:Newsletter: Sign up for our FREE daily newsletter.Our Community: Get 3-level AI tutorials across industries.Join AI Fire Academy: 500+ advanced AI workflows ($14,500+ Value)Our Socials:Facebook Group: Join 297K+ AI buildersX (Twitter): Follow us for daily AI dropsYouTube: Watch AI walkthroughs & tutorials