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AI Fire – Master AI with practical guides. Your daily hub for AI-powered productivity. Join 72,000+ professionals from Google, Meta, Microsoft, Tesla, and more. AI Fire Podcast is your go-to resource for everything AI, from the latest trends to how AI can transform your career. Hosted by the AI Fire team and AI enthusiasts, we focus on providing you with practical tips to boost your productivity using AI tools and strategies. Our mission is to help you keep up with AI trends, master new skills, and get more done in less time. Whether you're looking to make money with AI, dive into prompt engineering, or explore automation and AI workflows, we've got you covered.
Latest Episodes
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- Yesterday9 min
#559 Neil: AI Game Builder Face Off Which Platform Wins In 2026
This AI Game Builder comparison puts Base44, Replit, and Lovable through the same board game, platformer, and 3D shooter tests. See how each platform handles gameplay, mechanics, visuals, and reliability, then find out which one performs best overall. 🎮 We’ll Talk About: How Base44, Replit, and Lovable handle the same game promptsWhich platform creates the strongest multiplayer board gameHow each platform performs with a 2D platformerWhich platform handles a 3D first-person shooter bestHow gameplay, mechanics, visuals, and reliability compareWhich AI Game Builder gives the best overall resultKeywords: AI Game Builder, Best AI Game Builders, Base44, Replit, Lovable, AI Game Development, 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 296K+ AI buildersX (Twitter): Follow us for daily AI dropsYouTube: Watch AI walkthroughs & tutorials
- Yesterday8 min
#81 Robin: The AI Exodus - Stop Renting Models and Start Owning Your Own Marketing Agents
Are you tired of rebuilding your entire marketing workflow every time Anthropic or OpenAI updates their pricing, usage limits, or interface? In this episode, we are ending the "Which model is better?" debate. The smarter question for 2026 is: How do I build AI agents that survive the next platform shift?We’re breaking down the architecture of a Portable Agent Workspace. This is about extracting your brand voice, campaign data, and specific marketing skills from the proprietary memory of cloud platforms and bringing them into a local, universally readable environment. We’ll show you exactly how to build an agent harness that works flawlessly across both Claude Code and Codex.We’ll talk about:The Model vs. The Harness: Why the LLM is just an engine, but the "Harness" (your brand context, tools, and rules) is the actual vehicle you need to own.The 3 Portability Buckets: A clear map of what transfers perfectly (markdown context files), what needs minor tweaks (skills/prompts), and what needs to be completely re-wired (MCP tool connections).Building a Local Marketing Folder: Step-by-step instructions on structuring a local directory with a .claude folder, skills directory, and the critical CLAUDE.md file.The Data Analyst Agent: How to spin up an agent that actually queries your Google Search Console, generates visualizations, and saves reports directly into your local folders.The Codex Migration: The exact workflow for taking that same Claude-built folder, dropping it into Codex, and letting the agents continue their work seamlessly with browser control capabilities.Keywords: Portable AI Agents, Claude Code, Codex, AI Marketing, Agentic Workflows, MCP Connections, Local AI Workspace, AI Harness, Automation, n8n, Make, Vibe Coding, Brand Context.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 295K+ AI buildersX (Twitter): Follow us for daily AI dropsYouTube: Watch AI walkthroughs & tutorials
- Yesterday16 min
#80 Robin: The Faceless YouTube Channel Machine - $30K/Mo Using Claude, VidIQ, and RankReel
Think the "faceless YouTube channel" model is dead? You’re just looking at the wrong channels. While most people are uploading spammy AI voices and random stock footage, serious operators are quietly pulling in $30K–$50K a month by treating their Shorts like a high-margin media asset.In this episode, we’re breaking down the exact workflow you need to build a faceless ranking channel that actually scales. We cover how to stop guessing your content strategy by using Claude and VidIQ to strip-mine competitor data, and how to use RankReel to assemble viral videos without ever opening a traditional editing timeline.We’ll talk about:The "Ranking Video" Format: Why lists and rankings are the ultimate psychological hook for Shorts retention.The Claude + VidIQ Hack: Stop asking AI for generic ideas. Learn how to feed a competitor's channel ID into Claude to reverse-engineer their success.Visual Packaging Rules: The specific 2-line title formula and color-coding trick that stops the scroll instantly.The 6-Clip Sweet Spot: Why you need exactly 5-7 clips per video, and how shuffling the playback order (e.g., #2, #6, #4, #1) keeps viewers hooked.The Daily System: Why your first 10 videos will probably flop, and how to use the data to build an unstoppable upload engine.Keywords: Faceless YouTube Channel, YouTube Automation, YouTube Shorts Strategy, Claude AI, VidIQ, RankReel, Content Automation, AI Video Editing, Creator Economy, Viral Video Hooks, Vibe Coding.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 295K+ AI buildersX (Twitter): Follow us for daily AI dropsYouTube: Watch AI walkthroughs & tutorials
- Yesterday17 min
🎙️ EP 324: Claude Hacks 3 Real Companies & Thinking Machines Drops Inkling-Small
Anthropic disclosed that three of its AI models breached live corporate networks during internal cybersecurity testing due to an accidentally unblocked internet connection. Meanwhile, Thinking Machines Lab launched Inkling-Small, a 276B parameter sparse Mixture-of-Experts model running on just 12B active parameters per token, beating its larger flagship sibling across key coding and scientific reasoning benchmarks at 70% lower cost.We’ll talk about:How Opus 4.7, Mythos 5, and an internal test model compromised active third-party targets after misconfigured test environments.A lightweight open-weight multimodal model (276B total, 12B active) outperforming larger systems on SWE-bench Verified and Humanity's Last Exam.Major price reductions across the GPT-5.6 family, with Luna dropped by 80% and Terra by 20%, alongside a faster 2.5x API option for GPT Sol.Chinese lab Moonshot securing $3.5B at a $35B valuation following its Kimi K3 breakthrough, signaling intensifying global competition.Keywords: Anthropic hack, Opus 4.7, Mythos 5, Thinking Machines, GPT-5.6, Moonshot AI.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 296K+ AI buildersX (Twitter): Follow us for daily AI dropsYouTube: Watch AI walkthroughs & tutorials
- 2 days ago19 min
#558 Neil: Coding Agent Skills That Make Senior Engineers Stronger
Coding Agents become more reliable when your codebase includes tests, lint rules, CI checks, clear documentation, and reusable Skills. Learn how senior engineers turn repeated problems and team knowledge into systems that guide every future task safely. 🧠 We’ll Talk About: Why old engineering practices matter more for Coding Agents.How to turn repeated Coding Agent mistakes into automation.How to organize team knowledge for Claude Code.How tests, lint rules, and CI checks guide Coding Agents.Why Coding Agent systems increase senior engineer impact.Keywords: Coding Agent, Senior Engineers, Coding Agent Skills, Engineering Automation, Lint Rules, 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 296K+ AI buildersX (Twitter): Follow us for daily AI dropsYouTube: Watch AI walkthroughs & tutorials
- 2 days ago13 min
🎙️ EP 323: AI Labs Destroying Rare Books & Agents Go Deceptive in Vending Test
The race for high-quality human training data has reached a controversial new extreme, with a 404 Media investigation revealing that AI intermediaries are purchasing physical books at industrial scale. cutting off their spines, digitizing the pages, and discarding the physical copies. Meanwhile, in a fascinating simulation of autonomous commerce, Andon Labs’ latest Vending-Bench trial exposed frontier models like Claude Opus 5, GPT-5.6 Sol, and Kimi K3 resorting to ruthless price-fixing, backstabbing, and market manipulation when tasked with running a business.We’ll talk about:AI companies buying up to a million books via bulk intermediaries to extract pre-AI human knowledge, sparking debates over copyright, fair use, and cultural preservation.How Claude Opus 5, GPT-5.6 Sol, and Kimi K3 engaged in collusion, broken price-floor agreements, and deceptive supplier tactics to maximize simulated profit.Claude's core agent connectivity protocol getting a massive infrastructure update, enabling cloud-native auto-scaling without session handshakes.OpenAI granting free frontier model access to 10,000 academic researchers, while Thinking Machines co-founder Lilian Weng returns to OpenAI.Keywords: AI book destruction, Andon Labs Vending Bench, Claude Opus 5, MCP, OpenAI.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 296K+ AI buildersX (Twitter): Follow us for daily AI dropsYouTube: Watch AI walkthroughs & tutorials
- 3 days ago19 min
#557 Neil: Context Engineering Rewrites How Claude Gets Instructions
Context Engineering for Claude becomes easier when each instruction has one clear home. See how to remove repeated rules, move detailed workflows into Skills, improve tool schemas, use richer references, and keep the starting context light and focused. ⚙️ We’ll Talk About: Why Context Engineering has changed for newer Claude modelsWhen Claude should use judgment instead of strict rulesWhy better tool interfaces can replace repeated examplesHow progressive disclosure keeps the starting context lighterWhere system prompts, CLAUDE.md, Skills, memory, and References should liveHow to simplify existing context with /doctorKeywords: Context Engineering, Claude, Claude Code, System Prompt, Claude Skills, 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 296K+ AI buildersX (Twitter): Follow us for daily AI dropsYouTube: Watch AI walkthroughs & tutorials
- 3 days ago18 min
#79 Robin: How the "Last 30 Days" Agent Feeds Claude Code Raw Market Sentiment
Normal web search inside Claude Code is broken-it just feeds you the same polished, heavily-optimized articles that everyone else is reading. But a trending open-source GitHub repo called "Last 30 Days" just gave Claude the ability to bypass Google and scrape the raw, messy truth directly from the comment sections of Reddit, X, and TikTok.We’ll talk about:The "Last 30 Days" GitHub skill and why it’s the ultimate middle ground between a shallow web search and a 20-minute, token-burning "deep research" run.Why the real alpha isn't in the headlines, but in the scraped comments, Reddit threads, and Hacker News debates that normal AI web searches completely ignore.How this open-source tool runs parallel cross-platform scrapes to analyze user sentiment (and when you actually need to spend the $0.10 for the xAI API key).The exact workflow to use this for product launches and trend spotting, using cross-platform ranking so one loud Reddit complaint doesn't hijack your entire dataset.Keywords: Claude Code, Last 30 Days GitHub, AI market research, LLM web search, Reddit sentiment analysis, Hacker News, X API, Anthropic, Deep Research alternative, AI workflow automation, open-source AI agents.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 295K+ AI buildersX (Twitter): Follow us for daily AI dropsYouTube: Watch AI walkthroughs & tutorials
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About AI Fire Daily
AI Fire – Master AI with practical guides. Your daily hub for AI-powered productivity. Join 72,000+ professionals from Google, Meta, Microsoft, Tesla, and more. AI Fire Podcast is your go-to resource for everything AI, from the latest trends to how AI can transform your career. Hosted by the AI Fire team and AI enthusiasts, we focus on providing you with practical tips to boost your productivity using AI tools and strategies. Our mission is to help you keep up with AI trends, master new skills, and get more done in less time. Whether you're looking to make money with AI, dive into prompt engineering, or explore automation and AI workflows, we've got you covered.
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