Podcast
AI Fire Daily
Hosted by AIFire.co · EN
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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In the AI Fire Podcast, we cover a wide range of topics such as:
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425episodes
Episodes
Newest firstAll episodes
#79 Robin: How the "Last 30 Days" Agent Feeds Claude Code Raw Market Sentiment
Today00:18:25Tap to summarizeNormal 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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#78 Robin: Stop Babysitting Your AI - 5 New Rules for Prompting Claude Opus 5 and Beating Fable 5
Today00:08:18Tap to summarizeYou’re probably prompting Claude Opus 5 completely wrong, and it’s quietly draining your time, patience, and API tokens. The old "step-by-step" prompting advice from last year is officially dead—if you want to get actual work done today, you need to stop micromanaging your models.We’ll talk about:The Opus 5 Shift: The 5 new rules for modern prompt engineering, and why giving the AI the entire job upfront absolutely crushes the old breadcrumb method.The "Double-Check" Trap: Why telling your model to "review its work twice" is now a massive waste of tokens, and how to define "good" instead.Navigating the 2026 Lineup: How to pick between Haiku, Sonnet, Opus 5, and the elusive Fable 5, plus the real truth about Claude's new "Effort Level" sliders.The 3-Minute Website: A practical teardown of how to generate a full, production-ready landing page inside Claude Design by ruthlessly limiting the AI's "work product" and stopping the dreaded wall-of-text response.Keywords: Claude Opus 5, Anthropic, Fable 5, prompt engineering, token efficiency, Claude Design, AI workflow, LLM effort levels, Vibe Coding, AI web design, AI agent limits.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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#556 Neil: Claude Token Limit Is Killing Your Claude Code Sessions
Today00:14:30Tap to summarizeClaude Token Limit can arrive faster when long chats, heavy models, MCPs, skills, and oversized project instructions keep filling the context. Learn how to check usage, clean your setup, choose the right model, and make every Claude Code session last longer. ⚡ We'll Talk About: Why Claude Code reaches its token limit faster than expectedHow to check your current usage with /usageHow to find what’s filling your context with /contextWhen to open a new chat or use /compactHow to clean MCPs, skills, memory, and CLAUDE.mdHow to choose the right model and effort levelHow RTK, scripts, skills, and Codex can reduce token usageKeywords: Claude Token Limit, Claude Code Token Usage, Claude Code Context Window, Claude Code App, Claude Code Usage Limit, 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
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#2 Eric [Google AI Ecosystem Playbook]: Stop Using Gemini for Everything — Google AI’s 6-Route Shortcut
Today00:23:23Tap to summarizeGoogle has built so many AI products that choosing the right one now feels harder than doing the actual work. This episode breaks the entire Google AI ecosystem into six simple routes, so you can quickly decide when to use Gemini, Search, Deep Research, Gemini Notebook, Workspace, Flow, or AI Studio.We’ll talk about:Why opening the Gemini App for every task creates unnecessary workThe six routes for choosing the right Google AI productWhen to use Search, AI Mode, Deep Research, or Gemini NotebookWhy Gmail, Docs, Sheets, and Slides often beat a separate AI chatWhich Google tools fit video, design, automation, and app buildingHow to build your own Personal Google AI Decision MapThe biggest mistakes people make across Google’s AI ecosystemKeywords:Google AI ecosystem, Gemini App, Google Gemini, Gemini Notebook, Deep Research, Google AI Mode, Google Search AI, Gemini Workspace, Gemini in Gmail, Gemini in Sheets, Google Flow, Google Vids, Pomelli, Stitch, Workspace Studio, Scheduled Actions, Gemini Spark, Google AI Studio, Gemini API, AI automation, AI agents, AI workflows, Google AI toolsLinks: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
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#77 Robin: RIP Backend Devs? How to Build a Custom, Context-Aware AI Agent in 14 Minutes
Today00:18:27Tap to summarizeFor years, building a real AI agent meant wrestling with databases, user authentication, and messy API endpoints. Not anymore. We just built a fully functional, private, context-aware AI task manager in exactly 14 minutes—without writing a single line of code.In this episode, we break down how the new AI app builder Base44 is completely democratizing agentic engineering. We take you step-by-step from a blank prompt box to a dynamic AI agent that actually understands your workload, reads your deadlines, and proactively tells you what you need to focus on first. If you can type in plain English, you can now build a scalable software product.We’ll talk about:The No-Code Agent Stack: How Base44 instantly handles the messy infrastructure (databases, auth, hosting, layout) entirely through natural language.Structuring Agent Memory: Why you must build core features (like Kanban boards and dashboards) first so your AI actually has clean, organized data to reason with.The "Private Data" Hurdle: How to deploy one-prompt user authentication so your agent doesn't mix up your CEO's priorities with someone else's grocery list.Chatbots vs. Dynamic Agents: The critical shift from a basic bot that waits for direct commands to an autonomous partner that understands context and asks for permission before updating your life.The 14-Minute Blueprint: The exact 6-step prompt sequence to go from a blank page to a deployed, multi-user AI app.Keywords: Base44, AI agents, no-code app builder, AI workflow automation, conversational UI, dynamic agents, agentic engineering, Vibe Coding, task automation, SaaS development.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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🎙️ EP 322: 1,170+ AI Researchers for Frontier Pacing & OpenAI Unveils Workplace Study
Yesterday00:18:26Tap to summarizeOver 1,100 researchers and tech employees across OpenAI, Anthropic, Google, Meta, and Microsoft have signed an unprecedented open statement urging world governments to establish international monitoring and governance frameworks to manage automated frontier AI development. Meanwhile, a massive new workplace study from OpenAI analyzing 800,000+ ChatGPT interactions reveals that AI is rapidly blurring departmental lines, with over 43% of role-specific tasks being performed by non-specialist employees.We’ll talk about:Over 1,170 AI industry insiders warning governments to prepare technical monitoring and safety guardrails before automated research causes rapid, unmanageable growth.How employees across customer experience, HR, design, and marketing are using ChatGPT to handle cross-functional coding, legal review, and financial tasks.Moonshot's Kimi K3 running locally on 8x B300 GPUs to match Claude Fable 5 on 3D gaming builds with zero API costs.Perplexity launching "Personal Computer" on desktop to connect local files, Microsoft services, and web intelligence directly within an autonomous agent framework.Keywords: Pacing the Frontier, OpenAI study, Kimi K3 vs Fable 5, Perplexity Personal Computer.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
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#555 Neil: AI Workflow Fixes Errors Faster With Graph Engineering
Yesterday00:08:14Tap to summarizeLearn how an AI workflow can use Graph Engineering to divide complex work across focused agents. See how parallel tasks reduce waiting, review steps improve output quality, and retry paths fix failed sections without restarting the full process again. ⚙️ We’ll Talk About: What Graph Engineering means in an AI workflowHow connected agents complete separate tasksHow parallel agents reduce processing timeHow review gates improve output qualityHow local retries fix failed sectionsWhen Graph Engineering is worth usingKeywords: AI Workflow, Graph Engineering, AI Agents, Multi-Agent Workflows, Parallel Agents, 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
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#554 Neil: Make Money With AI by Solving Problems Companies Pay For
Yesterday00:18:36Tap to summarizeLearn how to make money with AI by finding a costly business problem, building a reliable Claude Opus 5 workflow, testing it against real cases, and turning the measured outcome into a paid audit, stronger role, promotion, or new job opportunity. 💼We’ll Talk About: Why crowded AI agency offers are becoming harder to sellHow to find one valuable business problemHow to build a reliable workflow with Claude Opus 5How to test the workflow and measure the resultHow to turn a case study into paid workHow freelancers, employees, and job seekers can use the same proofKeywords: Make Money With AI, Claude Opus 5, AI Consultant, AI Business Workflow, Claude Workflow, Business Problem Solving, 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
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🎙️ EP 321: Kimi K3 #1 Open-Weight AI & Microsoft Unveils MAI-Cyber Security System
2d ago00:17:07Tap to summarizeMoonshot AI’s Kimi K3 is rewriting open-source benchmarks, taking the top spot among open-weight models across major leaderboards. With its massive 2.8-trillion-parameter MoE architecture and native vision capabilities, Kimi K3 is closing the gap with proprietary frontier models. Meanwhile, Microsoft is bolstering enterprise defense with MAI-Cyber-1-Flash—its specialized 137B parameter in-house security model designed to power its MDASH multi-agent vulnerability orchestration engine.We’ll talk about:Ranking #1 among open-weight models in Agent Arena and leading the Frontend Code Arena with 1,682 points.A specialized 137B parameter model integrated into MDASH, driving CyberGym benchmark scores up to 95.95% while halving operational costs.OpenAI enabling persistent auth across sessions to bypass login walls effortlessly for enterprise workflows.Google’s open-weight Gemma model series crossing 900 million cumulative downloads, driven by Gemma 4’s massive adoption.Keywords: Kimi K3, open weight AI, Agent Arena leaderboard, Microsoft MAI Cyber 1 Flash.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
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#553 Neil: A Learning System That Turns Study Plans Into Real Results
2d ago00:17:22Tap to summarizeThis learning system helps you turn scattered AI resources into a focused plan. You’ll use Gemini Notebook for research, Opus 5 for personalization, Pomodoro for daily action, and Notion to track tasks, blockers, evidence, and weekly progress in one place. 📚We’ll Talk About: Building a study plan from reliable sources with Gemini NotebookPersonalizing the plan around your skills and project with Opus 5Turning each stage into clear daily tasks and pass conditionsTracking focused sessions, blockers, and results with PomodoroManaging the full Learning System and weekly reviews in NotionKeywords: Learning System, Gemini Notebook, AI Coding, Pomodoro, Learning Dashboard, Pass Conditions, 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
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