*Weekly AI Content Ideation System:* https://clickhubspot.com/1j5m Most people ask AI for content ideas and get the same generic list as everyone else. Kieran built something different: a content ideation skill that knows his audience, knows what's already worked across 160+ posts of real performance data, and researches what's trending right now. The result? A content queue that never runs dry. In this episode, Kieran breaks down the exact system in three steps: a rich audience profile (not an ICP), winning platform patterns pulled from a year of LinkedIn, Substack, and YouTube performance data, and live trend research through MCP servers. The whole thing runs in both Claude AND ChatGPT with shared context, so it works no matter which assistant you prefer. Plus: Kieran's honest take on the "AI slop" backlash and why saturated writing patterns aren't the same thing as bad writing. 📌 WHAT WE COVER: → The 3-step content ideation skill (audience profile, winning patterns, trend research) → Why an audience profile is NOT an ideal customer profile → The wrong AI content workflow almost everyone uses → "AI without systems is chaos": mapping ideas to proven patterns, not topics → The electric motor productivity paradox (and what it means for marketing orgs) → Why AI agents doing the buying is the real disruption nobody's watching → Live trend research with MCP servers: Reddit, X, and the web in one pass → Don't hire a VP of AI Strategy. You ARE the AI strategist. → Kieran's take on the AI slop backlash (and a defense of the em dash) → Inside the winning patterns dataset: 160 LinkedIn posts, ranked by engagement → The content queue system: spicy takes, data nuggets, and educational posts → Running the exact same skill in Claude and ChatGPT with synced context 🎙️ Host: Kieran Flanagan Ep 440 mentions Loop: Outlearn. Outmarket. Outgrow ⁠https://www.hubspot.com/loop-marketing-book Claude ⁠https://claude.ai ChatGPT ⁠https://chatgpt.com Substack ⁠https://substack.com Atomic Habits ⁠https://jamesclear.com/atomic-habits ⏱️ CHAPTERS: 00:00 - The AI Skill That Solves Content Creation's Biggest Problem 00:20 - Throwing Down the Gauntlet: The Best AI Content System 01:00 - One System, Two Assistants: Claude + ChatGPT with Shared Context 01:30 - Live Demo: Generating Content Ideas Mapped to Your Platform 03:00 - The Wrong Workflow: "Vomit, Text, Put Live, Sucks" 03:20 - Idea Walkthrough: AI Without Systems Is Chaos 04:00 - The Electric Motor Story: Why Marketing Orgs See No AI Upside 04:40 - The Real Disruption: AI Agents Doing the Buying 05:10 - Skills Never Work 100%: Always Be Refining 05:40 - Trend Research via MCP Servers: Reddit, X, and the Web 06:20 - Don't Outsource AI Strategy: You Are the AI Strategist 07:10 - Why It Works: The Content Profile (Not an ICP) 08:10 - The AI Slop Rant: Saturated Doesn't Mean Bad 09:40 - Inside the Audience Profile: Triggers, Hooks, and Trusted Voices 10:50 - The Winning Patterns Dataset: 160 Posts, One Year of Data 12:40 - Contrarian Takes That Work 13:00 - The Content Queue: Spicy, Data Nugget, Educational 14:00 - Same Skill in ChatGPT: Fully Synced Context 14:30 - How to Never Run Out of Content Ideas 📺 Subscribe to Marketing Against the Grain for weekly episodes on AI, marketing strategy, and growth. #AIContentIdeas #ContentStrategy #AIMarketing #ClaudeAI #ChatGPT #ContentCreation #MarketingPodcast #AITools #ContentMarketing #MarketingAgainstTheGrain Host Links: 📲Kipp Bodnar, https://twitter.com/kippbodnar 📲Kieran Flanagan, https://twitter.com/searchbrat ‘Marketing Against The Grain’ is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Produced by Darren Clarke. About the Show Kipp Bodnar, HubSpot’s CMO and Kieran Flanagan Hubspot's SVP of Marketing, lead you down the rabbit hole of marketing trends, growth tactics and innovation. On the way you’ll pick up undiscovered strategies to give you that slight edge for success. These are not your typical twitter thread regurgitated marketing tactics that everyone is doing. These are new methods, with unfiltered examination of successful fresh ideas.

Growth Newsletter: https://levelingup.beehiiv.com/subscribe Need marketing help? Visit: https://www.singlegrain.com/ and https://npdigital.com/ Want to recruit great marketers? Find them here: https://marketingschool.io/hire Eric ran Sol 5.6 against Fable 5 on real marketing work: an Amazon investment analysis, one-shot website builds, YouTube thumbnails that hit 6-7% CTR, and clip selection with hooks. His verdict: Sol finishes jobs with less back and forth. Neil's rule: never marry one model. Then why 62% direct traffic means brand is working, the AI-native org structure Eric's team published, and both hosts' hiring anti-pitch: passion, standards, and moving fast on people. Key takeaways ◾Judge models on finished jobs, not clever answers ◾Direct traffic is the scoreboard for brand strength ◾Hire people who tell you what to do, and move quickly when it's not working Chapters 00:00 Testing AI Models for Marketing 07:20 Brand Power Drives Direct Traffic 09:40 Building AI-Native Teams 20:57 Hiring, Standards, and Anti-Selling 𝗔𝗕𝗢𝗨𝗧 𝗧𝗛𝗘 𝗖𝗛𝗔𝗡𝗡𝗘𝗟 Welcome to Marketing School, one of the top business podcasts with over 61 million downloads. Each episode delivers actionable marketing tips and strategies from two entrepreneurs who truly practice what they preach. The show is hosted by Eric Siu, founder of Leveling Up and Single Grain, and Neil Patel, co-founder of Neil Patel Digital and recognized by Forbes as a Top 10 Marketer. 🎙️ Learn More About the Hosts Eric Siu – Leveling Up: https://www.youtube.com/@LevelingUpOfficial Neil Patel: https://www.youtube.com/@neilpatel

Try Higgsfield MCP here: https://higgsfield.ai/s/higgsfield-fable-5-yt-lukas-margerie-mjITSS Join the CreatorNTWRK community: Discord: https://discord.com/invite/vZxn6wZrDD Skool: https://www.skool.com/builderzgym I connected the Higgsfield MCP to Claude Code and ran the exact same prompt through six different Claude models, from Haiku 4.5 all the way up to the brand new Fable 5, to see which one actually produces the best images and videos. The results were not even close. Then I took it further: building animated hero sections, generating consistent multi-scene video trailers from a story file, and recreating a full scroll-animated landing page with layered AI-generated assets. What we cover: - Setting up the Higgsfield MCP inside Claude Code - The image and video models Higgsfield calls under the hood (Nano Banana, Seedream, Flux, Kling and more) - Same prompt, six Claude models: comparing Haiku, Sonnet, Opus and Fable 5 outputs side by side - Why the reasoning model matters more than the image model - Generating a 10 second cinematic trailer with consistent characters - Building an animated illustration for a hero section - Recreating a scroll-animated landing page with layered AI assets Timestamps: 00:00 - Intro & Higgsfield MCP setup in Claude Code 01:41 - Comparing 6 Claude models with the same image prompt 03:36 - Community examples & samurai trailer test (Fable 5 vs Codex) 04:48 - Hero section video asset with Cluely + Fable 5 07:13 - Recreating a scroll-animation site from screenshots 10:07 - Outro Tools used: Higgsfield MCP: https://higgsfield.ai/s/higgsfield-fable-5-yt-lukas-margerie-mjITSS Clicky, 50% off: https://www.heyclicky.com/?utm_source=lukas (CODE: LUKAS-PRO) Follow me: X: https://x.com/lukas_margerie LinkedIn: https://www.linkedin.com/in/lukas-margerie-99196118a #claudecode #higgsfield #aiwebdesign

👉 I built Filect to $1K+ MRR in 30 days. I'll show you how to do the same. Free 7-day trial: https://www.skool.com/ai-saas-builders 🚀 My AI Startup - AI File Organizer: https://filect.io 🔥 Filect Affiliate: https://filect.io/affiliates 📩 Business inquiries: softwaregentofficial@gmail.com Links: 🎙️ Whisper Flow: https://ref.wisprflow.ai/software-gent ⌨️ OpenCode: https://opencode.ai 🟩 NVIDIA API Platform: https://build.nvidia.com Timestamps⌚: 00:00 - Intro 00:42 - Why stop paying for Claude Code 02:06 - Are the models good? 03:15 - Installing Open Code 04:45 - Getting a free Nvidia key 07:16 - Testing the models 08:48 - Building a website 11:09 - Building a full stack app STOP Paying for Claude Code — Run Every Chinese Model for FREE (OpenCode) – In this video, I show you how to stop paying for Claude Code and run every top Chinese AI model for free using OpenCode and the NVIDIA API platform. If you've been burning money on Claude Code, this setup gives you the same agentic coding workflow — reading your codebase, editing files, running commands — powered by the best open models from China like DeepSeek, Kimi, Qwen, GLM, and MiniMax, all for free. I walk you through everything step by step: what OpenCode is, how to grab a free NVIDIA API key from NVIDIA's build platform, how to connect the Chinese models to OpenCode, and how to configure it so every request runs on free models instead of racking up a Claude bill. NVIDIA's API platform gives you free credits to access dozens of frontier open models, and because OpenCode is open source and model-agnostic, you can plug them all in and switch between them instantly. I also test the setup on a real coding project so you can see exactly how these free Chinese models perform against Claude Code. Whether you're a developer on a budget, a student, or an indie hacker who wants top-tier AI coding for free, this OpenCode and NVIDIA setup will save you hundreds of dollars a year. Stop paying for Claude Code and run every Chinese model for free instead. 🚀 LIKE, SUBSCRIBE & COMMENT if you want to build unstoppable AI products 🤖⚡

👉 Access our AI Architects course & join hundreds of serious AI builders in our community: https://www.theaiautomators.com/?utm_source=youtube&utm_medium=video&utm_campaign=tutorial&utm_content=boris-guidance 🔗 The talk Boris Cherny's full interview: https://www.youtube.com/watch?v=qyPCVqFUyDo 🔗 Changing the Claude Code system prompt yourself Claude Code CLI reference (the --system-prompt flag): https://code.claude.com/docs/en/cli-reference Claude Code environment variables reference: https://code.claude.com/docs/en/env-vars 🔗 The Zig to Rust rewrite Bun repo: https://github.com/oven-sh/bun Bun docs: https://bun.com/docs/ Claude Tag, Anthropic's Slack agent: https://techcrunch.com/2026/06/23/anthropics-claude-tag-is-learning-your-company-one-slack-message-at-a-time/ 🔗 Our related videos Our video on coding harnesses (the ablation study): https://www.youtube.com/watch?v=QpceyQQwC_E Our video on loop engineering: https://www.youtube.com/watch?v=5WB5bcGNib8 The creator of Claude Code just told us to delete our CLAUDE.md files. He also explained how he gets Claude Code to run autonomously for weeks at a time. And he claimed the model is no longer prompt injectable. Boris Cherny gave this talk the day after Opus 5 launched, and there is genuinely good advice in it. When Opus 5 shipped, his team deleted over 80% of the Claude Code system prompt, because behaviour tuned for one model often does not transfer to the next one at all. He wants you to run the same ablation on your own setup. Stop over-specifying your prompts, define the task, the guardrails and the exit criteria, then let the model work. Give it problems that are slightly too hard, and make it possible for Claude to verify its own work. That last one is the part most people get wrong. But some of it needs a pinch of salt, and that is where this video goes. Three layers of prompt injection defence is real progress. Not being demonstrably prompt injectable is not the same thing as not being injectable, and I would not build on that assumption. Delete your CLAUDE.md every six months is good hygiene for instructions, but hooks that block destructive commands, deny rules and compliance constraints are enforcement policies, not dead weight the model will outgrow, so those stay. And the famous Bun rewrite, a whole codebase from Zig to Rust in 11 days of runtime, came with steering throughout and solid test suites underneath it. Then there is the bill. At the time of the interview he had a Claude Code run going for a little over two weeks, 14 or 15 days, and it was still running. He has a practically unlimited token budget. An experiment posted online suggested a $200 a month Max 20x plan can return as much as $8,000 in equivalent API credits, so even a subsidised plan gets you nowhere near that volume. On API pricing, a multi-week run on frontier models is tens or hundreds of thousands of dollars, and long running agents drift, so by day nine or ten you can be a long way off course before anyone notices. He is clearly a very smart guy and an extreme power user, and I come out of his interviews with real experiments to try. He also works at Anthropic, and Claude Code is his creation so he has huge incentives to push it to the max. In this video I go through the claims and give you my verdict on each, along with the two levers you can pull today to strip back the prompting yourself and see what your model can actually do without you constraining it. Timestamps: 0:00 The three claims 0:25 What Opus 5 actually changed 1:10 "No longer prompt injectable" 1:52 80% of the system prompt, deleted 2:15 Two levers you can try yourself 3:20 What I would keep, whatever he says 4:10 Overhang, hobbling, and underhang 6:20 Stop over-specifying 7:39 Zig to Rust in 11 days 8:45 Verification is the real skill 9:40 The LinkedIn influencer line 10:30 What a two week run actually costs 11:55 Workflows vs loops and routines 13:10 Coding is solved, with an asterisk 14:15 The verdict

Today's video is sponsored by ElevenLabs! Try ElevenAgents and start chatting with your characters — plus grab 10,000 free credits courtesy of ElevenLabs right here: https://try.elevenlabs.io/w5183uo8pydc This is a surprise: MiniMax is BACK. After nine months of silence since Hailuo 2.3, they’ve launched Hailuo 03 (aka MiniMax H3) — a fully multimodal AI video model with native audio, up to 15-second generations at 2K, and an Omni mode that takes up to 12 image references plus video and audio inputs. Is it the Seedance killer people are claiming? I ran it through the full gauntlet to find out. In this video, we test Hailuo H3 across cinematic text-to-video (including dialogue, acting range, and multilingual support), image-to-video against the old 2.3 model, first frame/last frame, video extensions, and multi-reference character team-ups — plus what I’m seeing on pricing, which looks like it comes in around 50% under Seedance 2.0. Key takeaways: dialogue and lip sync are shockingly good, fight choreography trades speed for stability (no morphing, no teleporting), prompts cap out at a generous 7,000 characters, and the Omni model takes your storyboards very seriously — maybe more seriously than Seedance does. Note: Hailuo H3 is currently in early access and rolling out soon — consider this an opening impressions, not a full review. CHAPTERS 00:00 Intro: MiniMax Is Back 00:49 What's New in Hailuo 03 01:44 Dialogue & Acting Test (Twin Peaks Diner) 02:21 Cinematic Text-to-Video Tests 03:02 The Mob Movie Test 03:47 Multilingual Dialogue (Samurai Test) 04:39 Fight Scenes + the 7,000-Character Prompt Limit 06:10 Image-to-Video: Nine Months of Progress 07:03 Flamethrower Girl Returns 07:50 First Frame / Last Frame 08:30 The Omni Model: Multi-Reference 09:37 ElevenLabs Sponsor Segment 13:34 Sniper Girl One-Shot 14:13 Video References & Extensions 15:18 Sniper + Flamethrower Team-Up 16:02 "Reference Maxing" & Storyboards 17:25 Pricing Ballpark 18:23 Final Thoughts

Agents are getting more powerful by the day.  And most workflows, outputs and human capabilities can't keep up.  Is that a problem or opportunity?  Before you answer that question, though, keep this in mind.  Agents are *literally* about to become 20X faster overnight.  Let's unpack what that means.  Faster AI Agents, Fewer Human Coworkers: The Overly Productive Future of Managing Agents? -- An Everyday AI Chat with Jordan Wilson Newsletter: Sign up for our free daily newsletter (https://youreverydayai.com/) More on this Episode: Episode Page (https://www.youreverydayai.com/ep-830-faster-ai-agents-fewer-human-coworkers-the-overly-productive-future-of-managing-agents/) Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders. (https://www.linkedin.com/posts/jordanwilson04_agents-are-getting-more-powerful-by-the-day-activity-7488455868653404160-jzBp?utm_source=share&utm_medium=member_desktop&rcm=ACoAAEnbkdQBR48B1Rc3uoMWlWfVMPCScgZCUCQ) Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup (https://www.youtube.com/@EverydayAI_/streams) Website: YourEverydayAI.com (https://www.youreverydayai.com/ep-743-the-future-of-ai-7-new-ai-features-that-bring-us-closer-to-on-demand-ai-assistants/) Email The Show: info@youreverydayai.com (mailto:info@youreverydayai.com) Connect with Jordan on LinkedIn (https://www.linkedin.com/in/jordanwilson04/) Topics Covered in This Episode: 1. Managing Dozens of Productive AI Agents 2. OpenAI Cerebras: 20x Faster Agent Models 3. Impact of AI Agents on Human Coworkers 4. Agent-Driven Workflows vs. Human Collaboration 5. Increasing Agent Reliance and Fading Mentorship 6. Accidental Deskilling and Compression Tax 7. Protecting Human Judgment and Learning Handoffs 8. Expert-Driven Loops in AI Workflows 9. Monthly Rebuilding of AI Strategies and Processes 10. Middle Management Evolution in AI Native Companies Timestamps: 00:00 Future of AI and Work Dynamics 05:25 Advancements in AI and productivity tools 09:51 Growing your business with AI 13:52 AI productivity and collaboration shifts 15:08 Improving AI processing speed 18:53 Using AI agents for delegation 24:46 Discussing AI-related work challenges 28:16 Ensuring accountability and communication 30:39 Adapting to rapid digital change 32:35 Show outro and newsletter sign-up Keywords:  AI agents, faster AI models, OpenAI, Cerebras chip, 20x speed increase, automated workflows, agent management, solo agent supervisor, generative AI, knowledge work automation, agent-powered productivity, parallel machine teams, inference speed, productivity acceleration, Codex, Cloud Code, Google Gemini, Cloud Cowork, Copilot, recursive self improvement, expert-driven loops, human handoffs, deskilling, mentorship loss, AI native workplace, workplace automation, transactional work, productivity roadblocks, accidental deskilling, agent bun sandwich, compression tax, human in the loop, expert collaboration, agent trust, AI decision making, domain expertise, rapid workflow rebuilding, unlearning processes, organizational adaptation, enterprise AI adoption, future of work, middle management AI, AI-powered teamwork, human-agent collaboration, manager-agent ratios, personalized agent output, multi-agent coordination, skillset sharing, intentional automation, productivity strategy Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) (https://www.buzzsprout.com/2175779/fan_mail/new) Ready for ROI on GenAI? Go to youreverydayai.com/partner  (https://www.youreverydayai.com/partner/)

👉🏼 O MELHOR sistema de GESTÃO de CLIENTES CRM 👨‍💻- 20% de DESCONTO (Pipedrive): https://aff.trypipedrive.com/NEM2 Aprenda como usar o Claude Design do zero neste tutorial completo. Você vai entender como funcionam os templates, Skills e Design Systems do Claude para criar materiais profissionais com inteligência artificial. Durante o vídeo, vamos criar exemplos práticos de sites, wireframes, interfaces, aplicativos mobile, documentos, pesquisas de mercado, apresentações, diagramas, e-mails em HTML, anúncios, objetos 3D, currículos e animações. Você também vai descobrir qual template do Claude Design escolher para cada projeto e como combinar diferentes recursos para manter a mesma identidade visual em todas as criações. Assista até o final para dominar as principais funcionalidades do Claude Design. ​ ◽️◽️◽️◽️◽️◽️ 🔥 OUTRAS COISAS GRÁTIS e DESCONTOS para VOCÊ! ⚙️FERRAMENTAS⚙️ 👉🏼 10X MAIS PRODUTIVO🚀 - Gestão de tarefas e projetos GRÁTIS (Monday): https://try.monday.com/142l08 👉🏼ChatGPT e as MAIORES IAS pelo MENOR PREÇO e em reais 💵 (Com DESCONTO)(InnerAI) https://bit.ly/InnerAI 👇Ganhe 1.000 CRÉDITOS GRÁTIS no MANUS👇 https://fas.st/t/gEfC2u52 Após acessar o link acima, basta clicar em "continuar" para aplicar o cupom: owzjnzl e ganhar 1.000 créditos. ------- 📖 AULAS E MATERIAIS GRÁTIS📖 📲ESTEJA 100% ATUALIZADO - RECEBA NOVIDADES sobre IAs por WHATSAPP - GRÁTIS👇 https://growp.app/i/jMurdY 🎁TODOS os NOSSOS MATERIAIS GRÁTIS + 500 prompts + 2 AULAS por semana https://subscribepage.io/materiaisgratis ◽◽◽◽◽◽ ⬇️ APRENDA CHATGPT, IAS, MARKETING E MAIS... ⬇️ 🤖 CURSO MESTRE DAS IAS - DO ZERO AO AVANÇADO e COMO FAZER $$$ https://bit.ly/cursomestredasias 🦾 +12.000 PROMPTS VALIDADOS - MAIOR PACOTE de PROMPTS do Brasil https://bit.ly/mestredosprompts ◽️◽️◽️◽️◽️◽️ Redes Sociais ⟡Telegram: https://t.me/negociosemmente ⟡Instagram: https://www.instagram.com/negocios.ias/ 00:00 Como Usar o Claude Design do Zero 00:25 Conhecendo a Interface do Claude Design 01:27 Templates, Skills e Design System 02:44 Color + Type Pairing: Cores e Tipografia com IA 05:08 Como Criar um Design System no Claude 10:14 Como Gerenciar Clientes com IA e Pipedrive 11:29 Wireframe: Planejando um Site com IA 16:01 UI Mockups: Criando uma Landing Page Profissional 19:01 Mobile App Design: Criando um Aplicativo com IA 22:18 Documents: Criando Documentos e E-books 23:44 Research: Pesquisa de Mercado com Claude 26:07 Slides: Criando Apresentações Profissionais 28:13 Diagram: Fluxogramas e Jornada do Cliente 29:26 HTML Email: Criando E-mails Responsivos 31:06 Flyer: Criando Anúncios para Redes Sociais 32:39 3D Object: Criando Produtos e Embalagens 3D 33:34 Résumé: Criando um Currículo Profissional 34:44 Animation: Criando Animações e Vinhetas 36:53 Como Escolher o Template Certo

Jack Dorsey's Buzz is Block's open-source Slack for humans AND AI agents, and I set it all up with Claude Code. I'm a senior software engineer (ex-Amazon, ex-Microsoft) and I'll show you every feature that matters. Key takeaways: - Swap the agent harness between Claude Code, Codex and Goose - Huddle voice calls, per-agent memory, and multiple agents in one channel - Pair the mobile app, use your local skills, and answer the big one: local machine vs VPS 🔗 Buzz repo: https://github.com/block/buzz 🔗 Jack's post: https://x.com/jack/status/2079605800998146171 🔗 Join our Skool community: https://www.skool.com/erictech/about 🔗 Check out bookzero.ai — AI-powered bookkeeping built entirely with Claude Code 🔗 Sponsor, DataImpulse opt-in residential proxies at $1/GB: https://dataimpulse.com/?utm_source=youtube&utm_medium=video&utm_campaign=EricWTech Timestamps: 0:00 Intro 0:31 Install Buzz 1:53 Agent Harness 4:11 Chat With Agents 5:00 Huddle Call 6:22 Multiple Agents 7:24 Agent Memory 8:21 Mobile & Skills 10:10 Sponsor 11:43 Git Projects 15:38 Local vs VPS 16:44 Wrap up #claudecode #aitools #softwaredevelopment

Aprenda Inteligência Artificial! ▸ Aprenda Agentes iA: https://www.youtube.com/playlist?list=PLYAGaVIlnsYYwZrQdUFFSb2dCpNWByG55 ▸ Seja MEMBRO: https://www.youtube.com/@InteligenciaMilGrau/join ▸ https://www.inteligenciamilgrau.com ▸ Instagram: https://www.instagram.com/inteligenciamilgrau/ @inteligenciamilgrau ▸ Facebook: https://www.facebook.com/inteligenciamilgrau ▸ GitHub: https://github.com/inteligenciamilgrau ▸ O Mapa das iAs: https://ainews.inteligenciamilgrau.com.br/ ▸ Jogo "Bob em Busca da AGI Sagrada" https://inteligenciamilgrau.github.io/agisagrada/

How to Connect IG: / ericosiu X: / ericosiu 👉 Single Brain - Revenue agents to scale faster using our unified intelligence layer. https://www.singlebrain.com 👉 Single Grain - AI marketing firm https://www.singlegrain.com 👉 Get 25k Words of AI-Powered SEO Content: https://clickflow.com/ 👉 Growth Newsletter for top marketers: https://levelingup.beehiiv.com/subscribe

The music industry just made its biggest move yet against AI-generated music. A powerful coalition including Universal Music Group (UMG), Sony Music, Warner Music Group (WMG), BMG, Concord, Believe, HYBE, and other major independent labels has proposed a new global framework that would make many AI-generated songs ineligible for official music charts. But here's the twist... The same companies proposing these new chart rules are also actively involved in lawsuits and licensing negotiations with AI music platforms like Suno and Udio. Is this about protecting artistic integrity, or shaping the competitive landscape before the courts have ruled? In this video we examine: • The six proposed chart eligibility criteria • Why Suno could be placed at a competitive disadvantage • The difference between AI-generated and AI-assisted music • The explosive growth of AI music uploads • The role of bot streaming and fraud • Why this proposal could change the future of music distribution • Whether Billboard and other chart companies are likely to adopt these recommendations This proposal is currently voluntary, but it could become one of the most influential developments in the AI music industry. What do you think? Should AI-generated music be excluded from the charts, or should the market decide? ________________________________________ Chapters 00:00 Breaking: Major labels propose AI chart ban 00:32 Why today's announcement matters 01:18 The coalition behind the proposal 02:19 The six chart eligibility requirements 05:00 Why the industry says action is needed 07:03 Two separate AI initiatives explained 09:56 How Spotify, Deezer, TIDAL, Apple Music and others compare 11:35 The legal complication nobody is talking about 12:58 Why Suno may be at a disadvantage 14:02 The real problem: AI upload volume and fraud 15:19 Behind-the-scenes industry coordination 16:31 Will this proposal actually become policy? 17:05 My thoughts on where this is heading 18:51 Final thoughts and your comments Support the channel + check out Suno: 👉 https://suno.phillc.net Get my FREE AI Music Prompt Tools: https://musicspiration.com 👉 SUNO Production Book: https://www.amazon.com/SUNO%20AI%20MUSIC%20PRODUCTION/dp/B0GJ6CLV1N 👉 To learn music theory, and get FREE prompt tools, visit http://phillc.net 👉 Support your buddy Phill with a ko-fi: https://ko-fi.com/s/a7ebeb0d04 #ytsunopartner To learn music theory, visit https://phillc.net

Try Delulu Steam right now! https://delulustream.com/join/B8H7QXAW This is the highlight edit from my first live Delulu Stream experiment — and things got weird fast. In the original livestream, I tested Delulu Stream live on YouTube to see how far we could push real-time AI video transformation while actually performing on camera. This edit pulls together some of the best moments: character transformations, live VFX-style effects, prompt-controlled environments, surreal object changes, and some very strange AI-generated results. We tested effects like rainbow taffy, sandy creature transformations, clown characters, steampunk inventor looks, liquid-style object changes, and other live AI video experiments. Some of it worked surprisingly well. Some of it went completely off the rails. That’s part of what made it so fun. The bigger question behind this experiment is: what happens when live video becomes something you can transform with prompts? Instead of generating AI video clips after the fact, Delulu Stream lets you change a live camera feed in real time. That opens up new creative possibilities for livestreamers, AI creators, virtual performers, educators, entertainers, and anyone interested in real-time AI video, live AI VFX, and interactive content. In this highlight reel: Live AI character transformations Real-time AI VFX experiments Prompt-controlled environments Object and material transformation tests Rainbow taffy and stretchy visual effects Audience-guided prompt ideas A look at what works, what breaks, and what gets weird Creative possibilities for AI-powered livestreaming This is not a polished render or a traditional edited VFX sequence. It’s a live AI video experiment — unpredictable, funny, strange, and full of possibilities. Delulu Stream: https://delulustream.com/join/B8H7QXAW Watch the full livestream replay: https://youtube.com/live/m1728gIqmVo Watch my full Delulu Stream 2.5 breakdown: https://youtu.be/Yeua65wmaK4 @DeluluStream 👍 LIKE If you found this video valuable. 🙂 🥰 SHARE If you know someone who might enjoy this video. ⏬ DOWNLOAD or ADD This video to your PLAYLIST for easy access later. 💬 COMMENT Your thoughts and questions are welcome! 📝 SUBSCRIBE https://www.youtube.com/@BobDoyleMedia That's what keeps me going! 🔔 ​​And make sure to hit the NOTIFICATION BELL to stay updated! 🔔 🌎EXPLORE https://www.bobdoylemedia.com 📌 FOLLOW ME Facebook: https://www.facebook.com/bobdoylemedia Instagram: https://www.instagram.com/bobdoylemedia Bob Doyle Media explores the creative uses of AI, diving into topics such as generative AI art and video, AI music, voice cloning, AI filmmaking, and other topics that enable the creative individual to better express themselves through audiovisual means. Learn more from Bob Doyle Media: http://www.bobdoylemedia.com

Get the Agent OS 👉 https://www.skool.com/ai-profit-lab-7462/about Want to make money and save time with AI? Join here: https://www.skool.com/ai-profit-lab-7462/about Video notes + links to the tools 👉 https://www.skool.com/ai-profit-lab-7462/about Get a FREE AI Course + Community + 1,000 AI Agents 👉 https://www.skool.com/ai-seo-with-julian-goldie-1553/about Get a FREE AI SEO Strategy Session → https://go.juliangoldie.com/strategy-session?utm=julian Get 200+ Free AI SEO Prompts → https://go.juliangoldie.com/chat-gpt-prompts Get out SEO link building book here 👉 https://go.juliangoldie.com/opt-in?utm=julian Agent OS Q&A: Hermes Wake Word, Free Claude Code Routers, Buzz, Goal Mode, and Building Custom Company Agents The episode answers recent AI Profit Boardroom community questions about the Agent Operating System, highlighting new features like a Hermes wake word, free Claude Code via OmniRoute and Nine Router, a free AI coder workspace with previews/history, and integrated memory tools like Gemini Notebooks and Gemini Flash. It explains how to build sub-agents for a large company (e.g., an HR agent) by using a shareable custom GPT trained on policies, with more advanced options like Buzz. The video discusses Pi as a customizable agent platform, demonstrates /Goal mode in Hermes and Codex, clarifies that Fable 5 remains in Claude Code, and compares Hermes vs Claude usage and customization. It defines Buzz as Slack-like agent coordination, shares a member’s automated SEO machine build, suggests edtech uses like voice tutoring and automated course video creation, and recommends an iterative build process for customizing Agent OS modules, plus resources on running it free and minimizing tokens. 00:00 Agent OS Updates 01:04 HR Sub Agents Setup 02:38 Pi Agent Overview 03:31 Goal Mode Tutorial 04:04 Claude Code Fable 04:35 Hermes vs Claude Stats 05:25 Buzz For Agents 06:00 Community Wins EdTech 07:22 Custom Modules Workflow 08:35 Wrap Up And Join

Try Polsia today @ https://polsia.com/?ref=FKHAB3WU 🚀 Apply to work with me in the Product Studio and make $5K-50K+ from your app idea: https://go.buildgreatproducts.com 🛠️ Design and build apps with AI that actually get customers @ https://www.skool.com/aiapps/about Is it possible to get AI to run your entire company? I tried a tool that claims to do just that: Polsia, whilst I was away on holiday with my family and walk through exactly what happened. Spoiler alert: it did good and bad at the same time, but what is more interesting is the possibility it demonstrates for the future of AI systems for businesses. This is especially interesting if you're building by yourself or run your own business and are wondering how to use AI to help. Chapters: 00:00 Turning AI slop into professional design 01:13 Case study: Redesigning the SEO Stack website 02:37 Defining 'AI slop' and 'vibe-coded' design 05:25 How poor design affects customer perception 07:16 Introducing GenSpark for the redesign process 09:16 Answering GenSpark's design questions for better output 11:32 Reviewing the first AI-generated design drafts 16:06 Generating the full, redesigned homepage 17:34 Creating an HTML design system from the final design 19:19 Generating an animated launch video with GenSpark 21:43 Final thoughts on using AI design tools effectively Follow on social: https://www.linkedin.com/in/ashbychris/ https://x.com/chris_bgp https://www.instagram.com/build.greatproducts/ #polsia

Get the Agent OS & Free Claude Code Setup 👉 https://www.skool.com/ai-profit-lab-7462/about Want to make money and save time with AI? Join here: https://www.skool.com/ai-profit-lab-7462/about Video notes + links to the tools 👉 https://www.skool.com/ai-profit-lab-7462/about Get a FREE AI Course + Community + 1,000 AI Agents 👉 https://www.skool.com/ai-seo-with-julian-goldie-1553/about Get a FREE AI SEO Strategy Session → https://go.juliangoldie.com/strategy-session?utm=julian Get 200+ Free AI SEO Prompts → https://go.juliangoldie.com/chat-gpt-prompts Get out SEO link building book here 👉 https://go.juliangoldie.com/opt-in?utm=julian Use Claude Code for FREE Forever with Omniroot (90+ Free API Providers + Auto Fallbacks) The video explains how to use Claude for free by running the Claude Code CLI through an open-source “Free Claude Code” setup and plugging it into Omniroot, a free AI gateway for coding that provides 90+ free API providers, token-saving compression, and automatic fallbacks when rate limits or token caps occur. It also shows switching between Omniroot and NineRouter via a simple UI dropdown so work can continue if one provider fails, and previewing projects inside an Agent OS workspace, including an example SEO agency website built live. The creator argues this avoids spending Claude subscription tokens on experiments and prototypes, while saving paid tokens for bigger builds. Viewers can download a ready-to-install zip and get tutorials, updates, support, coaching calls, and community access through the AI Profit Boardroom at theaiprofitboardroom.com. 00:00 Free Claude Forever 01:03 What Omniroot Does 02:02 UI Demo Website Build 02:13 Free Claude Code Explained 04:16 Why Use Free Routers 05:48 Switching Models Easily 06:42 Old Way vs New Way 07:47 Common Objections Answered 08:44 Get the Full Setup 09:33 Community and Coaching 10:05 Wrap Up

O lançamento do Claude Opus 5 pela Anthropic gerou intensos debates na comunidade dev! Enquanto muitos comparam benchmarks sintéticos com o Fable 5, existe um detalhe técnico crucial na geração de código e na estrutura de context engineering que muda completamente o jogo — e que só desenvolvedores experientes notaram. Entre para a AI Coders http://aicoders.academy/ Neste vídeo, analisamos na prática como o Opus 5 se comporta na criação de projetos do zero (incluindo testes criando engines e jogos 3D em JavaScript puro/Three.js sem dependências externas) vs. no desenvolvimento iterativo de sistemas já existentes. Também discutimos a importância do Harness, as mudanças no system prompt do Claude Code, benchmarks como DeepSWE / CursorBench e a nova funcionalidade de fallback entre modelos. 00:00 - Introdução e Polêmicas do Opus 5 00:51 - A Maior Diferença no Código (O que só devs viram) 01:52 - Teste 1: Criando Voxelcraft do Zero (JS Puro / Sem Libs) 03:38 - Teste 2: Minecraft com Time de Agentes e Three.js 05:51 - Teste 3: Física da Água e Cavernas 07:48 - Teste 4: Criando uma Engine Própria (Jogo de Kart) 09:40 - Demonstração da Engine Própria e Iluminação 10:56 - Criar do Zero vs. Continuar Código Existente 11:16 - Engenharia de Contexto e Mudanças no System Prompt 12:40 - Benchmarks Práticos: DeepSWE e CursorBench 15:18 - A Importância do Harness e o Recurso de Fallback 16:13 - Conclusão e Considerações Finais #opus5 #claude #claudecode

#sponsored Try ZeroRank for free → https://app.zerorank.ai/auth?utm_source=youtube&utm_medium=ai_masters&utm_campaign=influencers 🚀 Become an AI Master – All-in-one AI Learning https://aimaster.me/yt/claude_skl Claude is no longer just an AI chatbot. In this video, you’ll discover how Claude’s Skills, Plugins, Connectors, MCP integrations, Cowork, and Claude Code come together to create a connected AI workspace. We’ll explore the key parts of the ecosystem, how they relate to each other, and where to begin without overcomplicating your setup. 📌 Timestamps: 00:00 — The complete Claude ecosystem explained 00:17 — Claude as a full AI workspace 00:49 — What Claude Skills are 01:31 — Two Skills I use in my workflow 02:40 — Browse and install ready-made Skills 03:10 — Working with multiple AI models in one workspace 05:18 — Web Search and code execution 06:34 — How Claude Plugins work 07:15 — Enterprise Search and Data Plugins 07:50 — Which Plugins should you install? 08:22 — ZeroRank and the Claude MCP 09:29 — Claude Connectors explained 10:21 — Connecting Claude to Gmail 11:08 — Connecting Claude to Google Drive 12:05 — Connector setup and permissions 12:24 — The MCP connector directory 13:14 — What Model Context Protocol actually is 15:26 — Claude Cowork explained 16:34 — The Marketing Plugin 17:12 — Structured Plugin workflows 18:24 — The Productivity Plugin 19:16 — Cross-tool automation with Claude 20:08 — The Claude Code ecosystem 20:45 — Skills and Plugins inside Claude Code 21:53 — Community Plugins and MCP servers 23:24 — What I would set up first 24:05 — Connect Gmail and Google Drive 24:28 — Built-in Web Search and code execution 24:46 — Choosing your first Plugins 25:06 — When to start using Claude Cowork 25:31 — MCP for developers 26:01 — What you should skip for now Claude’s ecosystem makes it possible to build repeatable workflows, connect useful tools, and work with more relevant context. This video will help you understand the available options, choose what matters for your workflow, and avoid unnecessary complexity. That is how Claude stops being a chatbot and becomes a real AI workspace. #Claude #ClaudeAI #Anthropic #ClaudeCode #ClaudeCowork #MCP #AI #AITools #AIWorkflows #ZeroRank

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