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Claude Code just dropped routines, and when I first saw the three options — routine, schedule, and loop — I had no idea when to use which. In this video, I break down all three modes in plain language and then demo building a routine from scratch using an X trend scanner I already had in my skill library. You'll see the full setup: GitHub connection, system prompt config, trigger options, and connector permissions. By the end, you'll know exactly which mode to use for any automation you want to build and how to get your first routine live.Links Mentioned:Claude Code Routines: https://claude.ai/code/routinesGitHub: https://github.comTimestamps00:00 – Intro: The confusion with Claude Code's new features00:20 – The three modes: routine, schedule, and loop00:50 – When to use each mode (simple breakdown)01:10 – Using Claude Code to find a skill to demo01:45 – Selecting the X scan routine02:00 – GitHub requirement for routines explained02:18 – Creating a new routine at claude.ai/code/routines02:35 – Naming your routine and connecting your GitHub repo02:50 – Dropping in your system prompt03:05 – Setting the schedule trigger (10am Eastern daily)03:20 – Configuring connectors and permission sets03:40 – Running on demand and reviewing the output04:10 – Full recap of all three modesKey Points* Claude Code has three automation modes — routine (runs on Anthropic's cloud, set it and forget it), schedule (needs local access, also available in Cowork), and loop (immediate execution in the CLI). Picking the wrong one means your automation won't work the way you expect.* Routines require a GitHub repository. You can't create one without it, so get your repo connected before you start.* The whole setup happens at claude.ai/code/routines — no coding required beyond having a system prompt in markdown format ready to paste in.* Routines support three trigger types: time-based schedule, GitHub event, or API call. That gives you flexibility depending on whether you want it cron-based, push-based, or fired from another system.* The X trend scanner ran automatically and surfaced several trending topic candidates with suggested content angles — zero manual research, just results ready to use.FIND ME ON SOCIALX/Twitter: https://x.com/GanimCoreyInstagram: https://www.instagram.com/coreyganim/LinkedIn: https://www.linkedin.com/in/coreyganim/FIND NICK ON SOCIALX: https://x.com/NickSpisak_LinkedIn: https://www.linkedin.com/in/nicholasspisak/YouTube: https://www.youtube.com/@UCusMlMDWZS0uOlhgL0M_q-A

Grab the free Google Doc to build and deploy your first Claude Managed Agent in 60 seconds: https://return-my-time.kit.com/2872b904f5I sit down with Nick Spisak, an AI agent builder who deployed his first Claude Managed Agent the same week Anthropic released the capability, to break down exactly what this platform is, who it's for, and when it makes financial sense to use it. We walk through the four user personas Claude Managed Agents is built for.Links Mentioned:Corey's X article: https://x.com/coreyganim/status/2042286607449874527Nick's X article: https://x.com/NickSpisak_/status/2041949191887262164Timestamps00:00 – Intro00:05 – What is Claude Managed Agents?00:29 – Architecture: decoupling tools, sessions, and orchestration01:15 – Who managed agents is and isn't for01:33 – The four user personas breakdown03:58 – Why AI Tinkerers should stick with Claude Code subscription04:21 – Free Google Doc: build your first agent in 60 seconds05:28 – Platform-as-a-service model explained05:43 – Cost comparison: Managed Agents vs Agent SDK06:09 – Live look inside platform.claude.com06:23 – Workbench, sessions, and output walkthrough08:16 – Sessions: tool calls vs. finished output explained08:31 – Analytics dashboard and real cost breakdown09:36 – When the ROI math works (and when it doesn't)11:18 – Next steps: articles on X, how to get started12:04 – OutroJoin the Build With AI community - weekly AI implementations, live coaching, and templates built for non-technical entrepreneurs: https://www.skool.com/buildwithai/aboutFIND ME ON SOCIALX/Twitter: https://x.com/coreyganimInstagram: https://www.instagram.com/coreyganim/LinkedIn: https://www.linkedin.com/in/coreyganim/YouTube: https://www.youtube.com/@coreyganimFIND NICK ON SOCIALX: https://x.com/NickSpisak_LinkedIn: https://www.linkedin.com/in/nicholasspisak/YouTube: https://www.youtube.com/@nickspisak_

Download Nick's free second brain skill -- one-click install that sets up your entire Obsidian vault and ingestion workflow inside Claude Code: https://return-my-time.kit.com/286e11f7e6I brought on Nick Spisak to build a complete second brain live -- start to finish, in under 20 minutes. By the end of this episode, you'll know exactly how to build your own second brain -- and you can grab Nick's free skill to do it in one click.Timestamps00:00 - Intro and Karpathy's viral second brain tweet00:24 - What the second brain concept is03:28 - Obsidian Web Clipper: scraping pages into your vault04:41 - Nick's free skill: wizard, ingest, query, and lint commands05:53 - Live demo: running the setup wizard in Claude Code08:38 - How many vaults to manage: personal vs. business10:30 - Opening the vault and exploring the file structure12:21 - Graph view: seeing connections between your data15:38 - Ingest command: raw data into organized wiki16:29 - Automating ingestion on a cron schedule19:12 - Compounding value and syncing the vault across devices20:19 - Pruning the vault with the lint command21:53 - Your data set as a moat in the AI ageKey Points* Karpathy released a framework for building an LLM knowledge base. Nick turned it into a free Claude skill with a guided setup wizard, ingest, query, and lint commands -- works across Claude Code, Codex, Gemini CLI, and more. One-click install, no coding required.* The system runs on three tiers: raw (brain dump), wiki (AI-organized knowledge base), and outputs (answers from querying). Drop files into raw, run ingest, and the AI maps everything into structured wiki entries with relationship graphs.* You can automate ingestion using Claude Code's loop feature so the vault stays current without manual work. Pair with Obsidian's paid sync tier and a note captured on your phone is indexed before you're back at your desk.* The lint command health-checks your wiki for outdated entries and missing connections -- and tells you exactly what to clip next to close the gaps. The wiki tells you what it doesn't know yet.* Day zero this thing is basic. Day 90 it's a company asset no competitor can copy. Your private knowledge base is the foundation for every agent and skill you build -- and nobody else will have it.Join the Build With AI community - weekly AI implementations, live coaching, and templates built for non-technical entrepreneurs: https://www.skool.com/buildwithai/aboutFIND ME ON SOCIALX/Twitter: https://x.com/coreyganimInstagram: https://www.instagram.com/coreyganim/LinkedIn: https://www.linkedin.com/in/coreyganim/YouTube: https://www.youtube.com/@coreyganimFIND NICK ON SOCIALX: https://x.com/NickSpisak_LinkedIn: https://www.linkedin.com/in/nicholasspisak/YouTube: https://www.youtube.com/@nickspisak_

Eliot Prince is an SEO specialist with 10+ years of experience ranking businesses at the top of Google. He's now deep in the AI world, coaching businesses on how to do SEO faster and better using AI tools. In this episode, Eliot walks through how he's using Perplexity Computer to build repeatable SEO machines — systems that audit websites, generate deliverables, and even push changes live to WordPress, all from a single conversation.We run a live audit on ReturnMyTime.com, watch three audit modules execute in parallel, and dig into the results — competitive analysis, keyword gaps, technical fixes, and auto-generated page copy. Eliot also demos a LinkedIn lead machine he built that reads DMs, scores leads, and drafts replies automatically using Perplexity's Linkup API connector.The big takeaway: Perplexity Computer runs 19 LLM agents in the cloud simultaneously, meaning you can build systems that would traditionally take weeks of manual work or expensive SEO tool subscriptions - and you don't need to write a single line of code to do it.Find Eliot YouTube's channel here:@princeeliotJoin the Build With AI community here: https://www.skool.com/buildwithai/about

James Dickerson (AKA The Boring Marketer) has been consulting businesses on marketing and growth since 2012 — and he's now using Claude Code to do what used to require a $5-10K/month agency. In this episode, James goes screen-share and builds a complete marketing funnel live from scratch: a landing page, a quiz funnel, a 14-day email nurture sequence, and dozens of social and SEO content assets — all inside Claude Code with zero coding. We break down the psychology behind high-converting email sequences (micro commitments, reciprocity, objection handling), how James's "skills" system encodes expert marketing knowledge into portable AI instruction files, and why anyone with these tools can immediately outperform 80% of marketers. If you've been procrastinating on Claude Code, this is your sign to just download an IDE and start.X: https://x.com/BoringMarketerWebsite: https://vibemarketer.comYoutube: @theboringmarketer