
Learn to build a personal AI agent with Claude code and Claude co-work that knows your goals, brand, and voice, and can autonomously plan, research, and deliver outputs.
engage in hands-on building during the masterclass, ship one working automation and a personal ai agent, ask questions in real time, and share your work on LinkedIn.
Discover how to extend Claude with agent skills by creating and uploading skill.md files, and source trusted skills from official providers to tailor design, docs, and workflows.
Install the PPT visual skill and upload it to Cloud Co-Work, then enable the skill in a new session to design enhanced PowerPoint slides with better visuals and layouts.
Create an executive PowerPoint deck from quarterly sales data using the PPT visual skill and PPTX, designed for the C-suite with cloud services and consulting insights.
Explore data with the data plugin in Cloud Co-Work to visualize SAS monthly metrics and build a dashboard showing MRR, churn, and regional subscriber trends.
Learn to use Claude plugins, including the data plugin, to generate publication-quality visualizations with Pandas and automatically produce a five-slide PowerPoint deck.
Track your Claude plugin usage in the cloud desktop app, monitor plan limits, and switch between Opus, Haiku, and Sonnet models via cloud co-work.
Explore cloud code, an agentic ai coding tool that reads code, edits files, and runs commands, and build Elevate Performance with Elevate HTML featuring a one-question-at-a-time intake and readiness score.
Learn to use slash commands in cloud code within VS Code to trigger, switch models (opus 4.7, haiku, sonnet), view usage, and manage context and sessions with slash init.
Install the front end design skill in VS Code to empower the Claude Code agent with production-grade dashboards, loaded by skill.md metadata and triggered by prompts or slash commands.
Use the front-end design skill to upgrade a stock dashboard by generating dashboard-version2.html with the same six stocks and data, delivering a professional, client-ready financial dashboard.
Create a Mindful Paws landing page with an interactive pet quiz for type, size, and service, delivering a Claude Code price estimate, and compare raw versus skill-based front-end builds.
Explore the Model Context Protocol (MCP), a standard for plug-and-play connectors that let Claude access Gmail, Slack, calendar, Notion, and more, with email drafting but no autonomous sending.
Create a slash command automation that runs a scheduled stock research workflow and delivers a real-time Apple monitor report with price, sentiment, key metrics, and news.
Develop an Apple monitor Excel report with a multi-tab dashboard, fundamentals, sentiment, and news sheets, embedding formulas and color-coded indicators (green for positive, red for negative, yellow for neutral).
Schedule an automation for the Apple Monitor slash command to run every two hours on weekdays during US market hours, generating sentiment analysis, Excel tracker, and a PowerPoint slide deck.
The Karpathy wiki pattern uses a large language model to build a persistent, compounding personal wiki, contrasting with RAG's per-query retrieval.
Explore Obsidian as a private, interconnected wiki that visualizes your personal notes and vaults, linking pages, goals, and tags in a local markdown knowledge base.
Discover how the vault, powered by Obsidian, becomes your agent's long-term brain by storing your business data, people, and goals, with setup-driven ingestion turning raw sources into wiki pages.
Explore the pre-defined slash commands in Claude Code & Cowork, including setup, new automations, status, ingest, lint, and brand, and learn how Cloud.MD levels organize onboarding and per-automation playbooks.
Connect Gmail, Notion, and Google Calendar with MCP connectors, verify the setup, then ingest inbox documents to build soul.md in the vault and configure the brand and Cleo persona.
Build and test 10 automations for your personal AI agent, from sprint tracker and morning brief to market pulse and meeting intel, all integrated with Notion.
Build a morning brief automation using the /morning brief command to pull unread emails, calendar, and Notion context, filter by soul.md priorities, and publish a daily brief to Notion.
Use dispatch mode to run Claude code and Claude co-work sessions from your phone, triggering the morning brief automation that extracts Gmail and calendar data, updates Notion, and drafts emails.
Learn to run the market pulse automation on demand with cloud code and cloud co-work on Maven, using prompts to identify top competitors and differentiate your bootcamp.
Advance personal AI agents by building a research team and automations, including expense wrangler and CRM, integrated via a persistent vault and Notion dashboard.
Build research team automation with adaptive multi-agent design that forms sub-agents on demand, approves plans before spending tokens, and delivers branded PowerPoint or PDF reports.
Test research team automation demonstrates running ai agents to research top humanoid robotics companies and generate a five-slide PowerPoint deck in brand colors.
Build a personal CRM automation that syncs Notion databases with Vault people, Gmail contacts, and calendar attendees, generates Monday follow-ups, and drafts emails in Ryan's voice.
Build a two-mode meeting intel automation with pre-meeting prep and post-meeting processing. Pull calendar events, look up attendees in the CRM, search docs, and generate a one-pager dossier.
Build an email triage automation that classifies unread Gmail into act now, read later, or archive. Operate in interactive and scheduled modes, with Gmail drafts and human-in-the-loop approvals.
Build expense wrangler automates receipt capture from a photo or batch mode, extracts vendor, date, amount, and category, and updates a Notion database and branded Excel sheet.
test the expense wrangler automation by starting a cloud code session in the personal os folder, processing a receipt, updating notion and the excel sheet with meals category.
Explore how to test and run a content machine and content plan using slash commands to auto-generate cross-platform posts for LinkedIn, YouTube, Twitter, and more with Claude code and co-work.
Explore how tokens and the context window shape interactions with large language models, including tokenization basics, token IDs, cost, and managing context when orchestrating multiple agents.
Use the OpenAI tokenizer to compare prompts about supervised and unsupervised learning, record token counts, and reflect on an article by Sam Altman to explore token context in ai prompts.
Discover how tokenization and context drive AI agents, using the OpenAI tokenizer to count tokens and IDs, and learn that politeness can increase token usage and costs.
Learn prompt engineering techniques such as zero-shot and few-shot prompting, plus chain-of-thought prompting, to guide Claude and other LLMs with in-context examples and stepwise reasoning.
Advance the calorie tracker to phase two by using Gemini AI to convert text or image inputs into nutrition data, with three add options: type, snap, and quick add.
Extend the calorie tracker by integrating Gemini API calls in phase two. Build two back-end routes for text and image nutrition lookups and update cloud docs.
Install and run Ralph Loop in Cloud Code to improve the calorie tracker through three iterations, delivering a responsive front end with macros charts, meal categories, and loading states.
Implement Ralph loops and the front-end design skill in Claude Code to iteratively review and polish a calorie tracker app with a daily calorie goal, progress bar, and meal categories.
The greatest opportunity of our lifetime is here. Solo builders are now creating million-dollar AI businesses with autonomous agents, workflows, and automation systems, and this course shows you exactly how to build your own.
In this hands-on course, you will learn how to design, deploy, and operate a fully functional personal AI agent using Claude Code and Cowork. You will build production-ready automations that can research, write, manage workflows, process information, and execute tasks autonomously across your daily work.
This is not a theory course. Every section is project-based and focused on real-world implementation.
You will learn how to:
Build and deploy your own AI agent architecture
Build 10 interconnected AI automations that compound together over time
Create persistent AI identities using Soul Markdown files
Connect Gmail, Calendar, Notion, and external tools through MCP integrations
Build long-term memory systems using Vaults and Obsidian
Orchestrate multi-agent teams for research, writing, and analysis
Create custom skills, slash commands, plugins, and reusable workflows
Implement scheduling, triggers, approval flows, and autonomous execution
Operate AI agents directly from your phone using Dispatch
By the end of the course, you will have a complete personal AI operating system capable of automating research, reporting, content creation, inbox management, meeting preparation, and many repetitive workflows.
Whether you are an entrepreneur, analyst, consultant, developer, student, or knowledge worker, this course will give you the practical skills needed to leverage autonomous AI systems in your career and business.