AI Fire Daily

Эпизоды

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

  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 16мин

  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 13мин

  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 13мин

  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 13мин

  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 10мин

  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 12мин

  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 21мин

  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 21мин

  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 13мин

  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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  #589 Neil: 5 AI Coding Agent Picks Making the Default Choice Harder 19.08.2026 18мин

  AI coding agents are moving fast. This article compares Muse Code, OpenAI Codex, Cursor, DeepSeek V4 Flash, and Claude Code across pricing, workflow depth, real-world projects, and the tradeoffs that matter when you choose one for bigger, more serious work. 🤖 We'll Talk About: How Meta Muse Code competes on price and repository-level codingHow OpenAI Codex is becoming a broader coding workspaceHow Cursor is moving into Google Workspace and non-coding workWhy DeepSeek V4 Flash stands out on cost and agent performanceWhere Claude Code still has an edge in front-end and design-heavy workWhat real-world projects show about each AI Coding AgentKeywords: AI Coding Agent, Meta Muse Code, OpenAI Codex, DeepSeek V4 Flash, Claude Code, 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 297K+ AI buildersX (Twitter): Follow us for daily AI dropsYouTube: Watch AI walkthroughs & tutorials
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  🎙️ EP 336: Big Tech’s $3 Trillion AI Liabilities & Anthropic on Self-Replicating AI "Mind Viruses" 19.08.2026 16мин

  A Wall Street Journal analysis reveals that major tech giants are holding approximately $3 trillion in hidden, off-balance-sheet commitments for data centers, power, and chips. Meanwhile, security research from Anthropic and EPFL exposes how autonomous AI agents can infect each other with "mind viruses," persisting across session resets by secretly rewriting long-term memory configuration files.We’ll talk about:WSJ reporting on $1.2T in uncommenced infrastructure leases and $1.9T in purchase commitments dwarfing quarterly capex figures.Research demonstrating how agent-to-agent payloads self-replicate through persistent memory files across 20-hop stress tests.Reports detailing Anthropic’s rapid revenue acceleration over seven months, challenging OpenAI’s market trajectory.Anthropic expanding Claude Code with integrated UI design artboards to bridge code generation and front-end prototyping.Keywords: Big Tech, 3 trillion AI liabilities, AI mind viruses, Claude Code.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 297Google, Amazon, Meta, and others have nearly $3 trillion in hidden AI commitments for data centers chips leases and future infrastructure spending.K+ AI buildersX (Twitter): Follow us for daily AI dropsYouTube: Watch AI walkthroughs & tutorials
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  #588 Neil: AI Memory Still Forgets the Project Context You Need Most 18.08.2026 18мин

  AI Memory sounds useful until ChatGPT forgets a deadline, decision, or project detail you need later. See how Global Memory, Project Memory, and file-based memory work, where each one breaks, and which setup gives you the right level of control in real work. 🧠 We'll Talk About: How Global AI Memory keeps preferences across chats but can miss project details.How Project AI Memory carries context between chats inside the same project.How a file-based AI Memory system gives you more control over long-term context.Keywords: AI Memory, Global AI Memory, Project AI Memory, File-Based AI Memory, ChatGPT Memory, 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 297K+ AI buildersX (Twitter): Follow us for daily AI dropsYouTube: Watch AI walkthroughs & tutorials
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  #90 Robin: Jack Dorsey’s "Buzz" is Slack for AI Agents - How to Make Claude & Codex Work in the Same Room 18.08.2026 9мин

  If you’re still frantically copying code from Claude, pasting it into ChatGPT for a second opinion, and dragging it back into Cursor, you are essentially acting as a human API. Jack Dorsey’s new open-source project, Buzz, just dropped a grenade on that chaotic workflow. Imagine a Slack workspace where your AI agents actually talk to each other, debate solutions, and push code—all in one shared channel.Today, we are diving into the death of the isolated chatbot. We break down how Buzz leverages the Agent Client Protocol (ACP) to tap directly into the harnesses you already pay for, turning individual LLMs into a coordinated, multi-agent product team.We’ll talk about:The Multi-Agent Workspace: How to drop Claude Code, Codex, and Grok into a single Buzz channel, assign a "Lead Agent," and watch them debate architecture before writing a single line of code.Voice Huddles with AI: Why jumping into a voice huddle to brainstorm with your virtual team is replacing the traditional text-prompt workflow.Data Ownership & The "Relay": How Buzz sidesteps the cloud surveillance state by letting you self-host your agent memory and push directly to local Git projects.The "Management Agent" Hack: How to build a dedicated AI assistant that checks your emails, Slack, and Notion to hand you a daily prioritized action list.The Automation Reality Check: The hilarious (and frustrating) reason why scheduled AI workflows still can't be fully trusted without a "checker agent" babysitting them.Keywords: Jack Dorsey Buzz, Agent Client Protocol, Claude Code, Codex, Cursor, Grok, Multi-Agent Collaboration, Vibe Coding, Slack for AI, Open Source AI, AI Orchestration, Local LLMs, OpenRouter.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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  #587 Neil: 3 Vibe Coding Tool Levels From Prototype to Real App 18.08.2026 9мин

  See how a Vibe Coding Tool moves from a local Claude Code prototype to a real Softr app with users, permissions, workflows, and MCP-powered backend updates. You’ll also get practical prompts for each level so you can test the full setup yourself. 🚀 We'll Talk About: How Claude Code turns a clear app description into a working local prototype.How Softr adds connected data, real users, permissions, and workflows.How Claude Code + Softr MCP can query data and manage backend changes.Why localhost is the main limit at Level 1.How bulk updates can be previewed before Claude Code changes real records.What separates a quick vibe-coded demo from a real multi-user app.Keywords: Vibe Coding Tool, Claude Code, Softr, Vibe Coding, AI App Builder, 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 297K+ AI buildersX (Twitter): Follow us for daily AI dropsYouTube: Watch AI walkthroughs & tutorials
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  #89 Robin: The AI Video Pipeline - Storyboard-First Prompting, Agentic Workflowsi 18.08.2026 17мин

  AI video generation is usually a chaotic mess of melting faces and shifting backgrounds—unless you know how to build a proper production pipeline. Today, we’re fixing the broken text-to-video workflow by stealing a trick from Hollywood: the storyboard-first system.We’re breaking down how to stop burning credits on random outputs and start batch-producing consistent ads, anime, and shorts. Whether you're managing open-source agents to automate the grunt work or running the manual method to learn the ropes, this is the exact blueprint for taking back control of your visual assets and building a fully automated video pipeline.We’ll talk about:The "Storyboard-First" Framework: Why locking in your visual guide before animating is the only way to stop character morphing and style slipping.The Manual Chatbot Method: Using ChatGPT or DeepSeek to write bulletproof prompt sequences that image models actually understand.The Video AI Showdown: Why Higgsfield’s Seedance 2.0 is quietly crushing Gemini and Google Flow in the animation department.Scaling with GitHub Agents: How to deploy Codex, Claude Code, or Antigravity to build an automated factory that handles ideation, storyboarding, and rendering while you sleep.Auto vs. Manual Mode: The critical difference between learning the pipeline and scaling it to 100+ videos.Keywords: AI video generation, Seedance 2.0, Higgsfield, Gemini Veo 3, Google Flow, Claude Code, Codex, AI agents, storyboard prompting, automated video pipelines, AI content creation, DeepSeek, batch production, Vibe Coding.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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  #586 Neil: DeepSeek V4 Pro and Grok 4.6 Push AI Prices Much Lower 18.08.2026 16мин

  DeepSeek V4 Pro and Grok 4.6 are pushing frontier-level performance toward much lower API costs. We compare pricing, benchmark results, coding and agent use cases, plus real user tests to see where each model makes the most sense for daily work at scale. 💸 We'll Talk About: How Grok 4.6 compares with frontier models on major benchmarksDeepSeek V4 Pro pricing, benchmarks, and 1M-token contextReal user tests comparing DeepSeek V4 Pro and Grok 4.6Which model fits coding, agents, automation, and long-context workWhy token usage can matter as much as API pricingKeywords: DeepSeek V4 Pro, Grok 4.6, AI Model Pricing, Coding Agents, Agent Workflows, 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 297K+ AI buildersX (Twitter): Follow us for daily AI dropsYouTube: Watch AI walkthroughs & tutorials
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  #585 Neil: AI Image Model Battle Puts GPT, Nano And Grok To The Test 17.08.2026 13мин

  GPT Image 2, Nano Banana 2, and Grok Image 2 face the same five real-world prompts covering complex instructions, text design, spatial reasoning, photorealism, and multi-constraint work. See where each AI Image Model wins, slips, and earns its final score. 🖼️ We'll Talk About:How GPT Image 2, Nano Banana 2, and Grok Image 2 handle the same five hard promptsWhich model follows complex instructions most accuratelyHow each model handles text and graphic designWhich model understands spatial relationships bestWhich model creates the most photorealistic imagesHow well each model handles designs with many constraintsFinal scores and the best model for different image tasksKeywords: AI Image Model, GPT Image 2, Nano Banana 2, Grok Image 2, AI Image Generation, 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 297K+ AI buildersX (Twitter): Follow us for daily AI dropsYouTube: Watch AI walkthroughs & tutorials
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  #88 Robin: Make Claude Speak Human - The ELI5 Output Style 17.08.2026 14мин

  Ever ask your AI a simple business question and get back a wall of text that requires a PhD to decode? The default voice of frontier models like Opus 5 is densely technical, prioritizing jargon over clarity. But what if you could change its baseline personality before it even generates a single word?In this episode, we tackle the "Jargon vs. Length" problem inside Claude Code. We’ll show you how to implement a custom ELI5 (Explain Like I'm 5) output style using Simplified Technical English (ASD-STE100) to force plain-language answers. Then, we’ll dive into why you shouldn't hardcode "be concise" into your system prompt—and how to use on-demand skills instead.We’ll talk about:The Jargon vs. Wall-of-Text Split: Why these are two different problems requiring two different solutions.The ELI5 System Prompt: How to alter Claude's output style so it leads with the "so what?" instead of the technical specs.The /bro Command: A one-word skill that forces the AI to translate its last dense answer into conversational English.The "Wait, What?" Reset: How to pull Claude back when it goes down a coding rabbit hole without losing your project context.The /quick [N] Compressor: How to keep the value of deep, long-form AI reasoning while extracting exactly 3 (or 5, or 1) bullet points on command.Keywords: Claude Code, AI Prompting, ELI5, Output Styles, System Prompts, ASD-STE100, AI Jargon, Claude Skills, AI Workflows, LLM Optimization, Tech Translation, Opus 5.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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  #4 Eric: Master Research Across the Google AI Ecosystem 17.08.2026 20мин

  Gemini can do much more than search the web and hand you a long report. In this lesson, you’ll learn how to combine Gemini Deep Research, Gemini Notebook and Gemini to find better evidence, filter weak sources, understand what the research actually supports and turn it into a usable final output. 🔥We'll Talk About:When to use Google Search, Gemini, AI Mode, Deep Research or Gemini Notebook.How the Ask → Research → Understand → Check → Create workflow works.How Gemini Deep Research can investigate a broad question and find dozens of relevant sources for you.How to use Gemini to create task-specific source standards and filter a messy source list down to the strongest evidence.How to use Gemini Notebook to understand findings, trace claims back to sources and spot important limitations.How to turn checked research into articles, reports and other real deliverables with source hyperlinks.How to reuse the same research with Mind Maps, Video Overviews and Reports.How to use a reusable Research Source Filter Gem to turn 30–60+ links into a much smaller source set worth keeping.Keywords: Gemini Deep Research, Gemini Notebook, Gemini AI, Google AI, AI Research, Source Filtering, AI Research Workflow, Gemini Prompts, AI Productivity.