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This is the most complete setup I've seen yet to turn Claude Code into your personal OS. Here's my new episode with Moritz Kremb where he shared the system that runs his email, content, and even grocery shopping. We talked about: → The 4 layers: folders, tools, skills, routines... show more

Peter Yang

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113,939 views • 4 months ago •via X (Twitter)

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96,052 views • 4 months ago

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243,456 views • 6 months ago

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142,157 views • 7 months ago

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77,246 views • 7 months ago

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Peter Yang

125,046 views • 2 months ago

Okay, this is the first AI content setup I've seen that actually closes the loop. Sabrina Ramonov (founder of Blotato) runs all her content solo, and her Claude agent is pulling 41M cross-platform views in 30 days. She went 0 to 3M followers in 2 years on $0 ads. Most AI content tools stop at "here's your draft." You still grade it, schedule it, and publish it by hand. Here's her full setup: → connect Claude to Blotato → install 7 free Claude skills (open sourced, no email gate) → write, grade, and schedule your first post from the same agent The skills do the real work: content-coach, post-writer, post-grader, viral-hooks, repurpose, brand-brief, post-scheduler. What sold me: it's built for agents. Blotato ships an LLM-readable API spec, so Claude Code, Codex, or Hermes can run the whole thing end to end. She breaks down the exact system in the piece. Worth the full read. (clip attached is a Claude Code agent-workflow talk worth watching alongside this.)

Prajwal Tomar

142,718 views • 1 month ago

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Peter Yang

104,884 views • 5 months ago

"Compoung engineering is how you make Claude Code smarter every time you use it." Here's my new episode with Kieran Klaassen where he demos his 4-step system to make Claude Code improve with every session: ✅ Plan. Sub-agents research your codebase and best practices before any code is written. ✅ Work. Claude asks clarifying questions, then builds the feature and writes tests. ✅ Assess. Review agents check security, architecture, and code quality. ✅ Compound. Learnings are captured so Claude never repeats mistakes. Kieran is my favorite Claude Code power user and I promise you'll learn alot too. 📌 Watch now: Thanks to our sponsors: Granola - The best AI meeting notes app I've ever used: Replit ⠕ - Create beautiful prototypes and full stack apps:

"Compoung engineering is how you make Claude Code smarter every time you use it." Here's my new episode with Kieran Klaassen where he demos his 4-step system to make Claude Code improve with every session: ✅ Plan. Sub-agents research your codebase and best practices before any code is written. ✅ Work. Claude asks clarifying questions, then builds the feature and writes tests. ✅ Assess. Review agents check security, architecture, and code quality. ✅ Compound. Learnings are captured so Claude never repeats mistakes. Kieran is my favorite Claude Code power user and I promise you'll learn alot too. 📌 Watch now: Thanks to our sponsors: Granola - The best AI meeting notes app I've ever used: Replit ⠕ - Create beautiful prototypes and full stack apps:

Peter Yang

85,263 views • 7 months ago

AI AGENTS 101 (58 minute free masterclass) send this to anyone who wants to understand ai agents, claude skills, md files, how to get the most out of AI etc in plain english: 1. chat vs agents - chat models answer questions in a back and forth while agents take a goal, figure out the steps, and deliver a result 2. agents don’t stop after one response. they keep running until the task is actually finishedno babysitting required 3. everything runs on a loop. they gather context, decide what to do, take an action, then repeat until done 4. the loop is the system. they look at files, tools, and the internet. decide the next step. execute and then feed that back into the next step. over and over until completion 5. the model is just one piece. gpt, claude, gemini are the reasoning layer. the key is model + loop + tools + context 6. mcp is how agents use tools. it connects things like browser, code, apis, and your internal software. once connected, the agent decides when to use them to get the job done 7. context beats prompt all day. you don't need to write perfect prompts. load your agent with context about your business, style, and goals and then simple instructions work 8. claude.md or agents.md is the onboarding doc it tells the agent who it is, how to behave, what it knows, and what tools it can use. this gets loaded every time before it starts 9. memory.md is how it improves. agents don’t remember by default. this file stores preferences, corrections, and patterns you tell the agent to update it, and it gets better over time 10. skills + harnesses make it usable. skills are reusable tasks like writing, research, analysis the harness is the environment like claude code or openclaw that runs everything. basiclaly, different interfaces, same system underneath this episode with remy on The Startup Ideas Podcast (SIP) 🧃 was one of the clearest ways of understanding a lot of the core concepts of ai agents could be the best beginners course for ai agents 58 mins. all free. no advertisers. i just want to see you build cool stuff. im rooting for you. send to a friend watch

AI AGENTS 101 (58 minute free masterclass) send this to anyone who wants to understand ai agents, claude skills, md files, how to get the most out of AI etc in plain english: 1. chat vs agents - chat models answer questions in a back and forth while agents take a goal, figure out the steps, and deliver a result 2. agents don’t stop after one response. they keep running until the task is actually finishedno babysitting required 3. everything runs on a loop. they gather context, decide what to do, take an action, then repeat until done 4. the loop is the system. they look at files, tools, and the internet. decide the next step. execute and then feed that back into the next step. over and over until completion 5. the model is just one piece. gpt, claude, gemini are the reasoning layer. the key is model + loop + tools + context 6. mcp is how agents use tools. it connects things like browser, code, apis, and your internal software. once connected, the agent decides when to use them to get the job done 7. context beats prompt all day. you don't need to write perfect prompts. load your agent with context about your business, style, and goals and then simple instructions work 8. claude.md or agents.md is the onboarding doc it tells the agent who it is, how to behave, what it knows, and what tools it can use. this gets loaded every time before it starts 9. memory.md is how it improves. agents don’t remember by default. this file stores preferences, corrections, and patterns you tell the agent to update it, and it gets better over time 10. skills + harnesses make it usable. skills are reusable tasks like writing, research, analysis the harness is the environment like claude code or openclaw that runs everything. basiclaly, different interfaces, same system underneath this episode with remy on The Startup Ideas Podcast (SIP) 🧃 was one of the clearest ways of understanding a lot of the core concepts of ai agents could be the best beginners course for ai agents 58 mins. all free. no advertisers. i just want to see you build cool stuff. im rooting for you. send to a friend watch

GREG ISENBERG

377,783 views • 6 months ago

"I've spent $30K on a launch video, now you can make one with code." Here's my new episode with Bin Liu and Jake Moran, where they shared their 5-step playbook for using HyperFrames to make professional launch videos in Codex and Claude Code: 1. Gather video assets and create a frame.md 2. Create a storyboard.md with the scenes 3. Pull animations from the HyperFrames repo 4. Generate and review static frames 5. Build the video with HyperFrames Studio You can also start simple by using the built-in /website-to-video skill to one shot a launch video from any URL. HyperFrames is 100% free and I love how it democratizes video creation for everyone. 📌 Watch now: Thanks to our sponsors: Wispr Flow: 4x faster than typing with your voice Riverside: All-in-one AI studio for podcasts and video

"I've spent $30K on a launch video, now you can make one with code." Here's my new episode with Bin Liu and Jake Moran, where they shared their 5-step playbook for using HyperFrames to make professional launch videos in Codex and Claude Code: 1. Gather video assets and create a frame.md 2. Create a storyboard.md with the scenes 3. Pull animations from the HyperFrames repo 4. Generate and review static frames 5. Build the video with HyperFrames Studio You can also start simple by using the built-in /website-to-video skill to one shot a launch video from any URL. HyperFrames is 100% free and I love how it democratizes video creation for everyone. 📌 Watch now: Thanks to our sponsors: Wispr Flow: 4x faster than typing with your voice Riverside: All-in-one AI studio for podcasts and video

Peter Yang

70,122 views • 3 months ago

Most people don't know the difference between skills, subagents, and MCPs. Here's the simple breakdown: Skills: Written guides that tell the LLM exactly how to do a task "Analyze spreadsheets this way" or "write emails in this voice" Reusable. Consistent output. Subagents: Extra copies of the LLM, each with its own job - You review code. - You write tests. - You update docs. Work happens in parallel. Stays organized. MCPs: - Universal power plug for external tools - Need to update Linear tickets? Access your database That's MCP. Think: - Skills = how to do something - Subagents = who does what (in parallel) - MCPs = what tools you can reach Play around with all three. That's where it clicks.

Most people don't know the difference between skills, subagents, and MCPs. Here's the simple breakdown: Skills: Written guides that tell the LLM exactly how to do a task "Analyze spreadsheets this way" or "write emails in this voice" Reusable. Consistent output. Subagents: Extra copies of the LLM, each with its own job - You review code. - You write tests. - You update docs. Work happens in parallel. Stays organized. MCPs: - Universal power plug for external tools - Need to update Linear tickets? Access your database That's MCP. Think: - Skills = how to do something - Subagents = who does what (in parallel) - MCPs = what tools you can reach Play around with all three. That's where it clicks.

The Startup Ideas Podcast (SIP) 🧃

36,675 views • 9 months ago