AI Master

#sponsored by Wispr Flow! Download Wispr Flow today (it's free!) and use code MASTER on desktop to get 1 month of Wispr Flow Pro with unlimited words: https://ref.wisprflow.ai/ai-master-yt-2 🚀 Learn the latest AI models and tools → https://aimaster.me/yt/chatgpt_astra 🤝 Exclusive brand partnership — https://aimaster.me/collab What happens when an AI model stops just explaining how to do something and actually does the work for you? I put GPT-6 Astra through real tests — turning a single photo into an editable 3D model, building a playable game from one sentence, cleaning up a messy spreadsheet, creating a live website, and working with files inside ChatGPT. I also compare where Astra actually makes a difference, where the safety layer gets in the way, and which ChatGPT mode you need to use to access its computer-use capabilities. 📌 Timestamps 00:00 — GPT-6 Astra changes AI 00:21 — Turning one photo into a 3D model 02:20 — Astra actually controls the computer 03:52 — Building a playable game from one sentence 07:36 — Testing Astra on a messy spreadsheet 10:16 — Building a live website inside ChatGPT 12:53 — Talking to Astra instead of typing 14:16 — Where Astra actually lives in ChatGPT 15:44 — Plus vs. Pro: what you actually get 16:08 — The messy Astra rollout 16:33 — What Astra still gets wrong 17:08 — My verdict The biggest shift isn’t that Astra can make a 3D model or a tiny game. It’s that you can ask for the finished thing instead of asking for instructions — and the model can open apps, create files, check its own work, and fix mistakes along the way. That makes AI feel less like a chatbot and more like an operator. Everything else is on aimaster.me. #GPT6 #OpenAI #ChatGPT #Astra #AI #ArtificialIntelligence #AITools #AIAgents #FutureOfAI #GenerativeAI

#sponsored Use code AIMPRO to get a discount on Lessie paid plans! https://bit.ly/3UfBDmO hiCreator https://bit.ly/3TgcEzD 🚀 Become an AI Master – All-in-one AI Learning https://aimaster.me/yt/claude51god 🤝 Exclusive brand partnership — https://aimaster.me/collab Most people still prompt Claude like a search box — then try to fix weak results by making the prompt longer. In this video, I break down the Claude prompting system I actually use with Fable 5.1: how to give Claude the right context, define what “good” looks like, set autonomy boundaries, use Effort correctly, and turn prompts into workflows that can actually finish the job. We cover overprompting, evidence standards, prompt chaining, long context, Cowork, research workflows, reusable rubrics, approval boundaries, and why the best prompt is often the one that tells Claude what outcome to reach — not every step it should take to get there. I also walk through real examples: competitor analysis, launch decisions, invoice reconciliation, sales sequences, research across Zapier / Make / n8n, long-context analysis, ad account diagnosis, and turning a messy spreadsheet into an interactive tool. The goal isn't to collect more prompting tricks. It's to get better at delegation. ⏱️ TIMESTAMPS: 00:00 - Intro 00:20 - The biggest Claude prompting mistakes 05:15 - The Fable 5.1 prompt formula 09:20 - Advanced prompting workflows 16:50 - Research, long context and Cowork 20:45 - Reusable tools, debugging and final takeaways Try the exact workflow yourself — Lessie and hiCreator are linked in the description above. Start by describing the exact creators or people you want to find, let Lessie research and rank the best matches, then take it further with personalized outreach or full influencer campaign management in hiCreator. Use code AIMPRO to get a discount on Lessie paid plans. #Lessie #ClaudeAI #AIMaster #claudefable5 #claudefable

🧠 Never miss GPT updates! Join 15,000+ AI enthusiasts → https://aimaster.me/yt/gpt7 🤝 Exclusive brand partnership - https://aimaster.me/collab GPT-6 Astra just shipped and OpenAI's Greg Brockman called it the start of the "AGI era." Forty-eight hours later, three other labs dropped their own flagships. So what's actually real about the model that's supposedly training right now behind Astra — codenamed "Bel"? I rate every GPT-7 claim on screen: confirmed, credible leak, speculation, or debunked, so you know exactly what to trust before you rebuild your AI workflow around a rumor. This isn't a press-release rewrite or a screenshot-of-a-screenshot rumor roundup. I cross-checked every claim floating around — job postings, researcher social posts, leaked benchmark numbers, and what labs are actually saying on the record — and sorted the signal from the noise. Chapters: 00:00 Latest Updates 00:52 What GPT 7 Actually Is 04:49 The Counterweight 07:18 The Forty-Eight Hour Pileup 09:08 The GPT-7 Rumor Ladder 13:33 Is It Even Called GPT-7? 15:27 The Omni Question 17:45 What OpenAI Actually Bet On 19:02 What To Do Right Now I use AI Master (aimaster.me) to build and manage every video like this one — AI-powered chat with Claude, ChatGPT, Grok and Gemini in one place, plus image and video generation, and Virable for full agentic channel production. If you want to build with AI instead of just watching AI news, it's worth a look. #GPT7 #OpenAI #AGI #AITools2026 #AINews

#sponsored Get $100 in bonus Hyperagent credits when you sign up for a paid plan: https://www.hyperagent.com/aimaster 🚀 Become an AI Master – All-in-one AI Learning https://aimaster.me/yt/hyper 🤝 Exclusive brand partnership — https://aimaster.me/collab What if AI agents could handle an entire workflow instead of waiting for you to move every task from one step to the next? In this video, I build a three-agent workflow in Hyperagent for YouTube research and content planning. One agent tracks relevant AI updates, another verifies and compares the findings, and a third turns the analysis into content directions — all while Slack becomes the place where the work is reviewed and handed off. I also show how to schedule agents, connect tools, teach them from corrections, reuse skills, structure better outputs, and keep publishing decisions behind human approval. 📌 Timestamps: 00:00 — Build a complete workflow with three AI agents 00:24 — Agent #1: Turn trusted sources into an automated research desk 01:14 — Write instructions that produce useful results 01:59 — Schedule the agent and connect it to Slack 02:31 — Test the workflow before automating it 03:11 — Teach agents from corrections and reusable skills 04:24 — From scheduled research to proactive business analysis 04:52 — Agent #2: Verify research and build decision-ready analysis 06:28 — Turn agent output into something you can actually review 07:46 — Agent #3: Convert analysis into content directions 08:35 — Keep publishing behind human approval 09:09 — Manage multiple agents like a real team 09:43 — Build your own multi-agent workflow 10:06 — Get started with Hyperagent #Hyperagent #AIAgents #AIAutomation #MultiAgent #WorkflowAutomation #SlackAutomation #AITools

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