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Stop Watching Tutorials - Build These 4 Claude Projects to 10x Output
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Summary
Austin Marchese recommends building four practical Claude Code projects instead of spending time watching tutorials. The projects are designed to solve real problems, improve Claude’s context over time, and make it easier to build and deploy useful tools.
1. AI board of advisors
Create a board of AI personas based on experts whose work is publicly available.
- Ask Claude to interview you about your goals and career plans. Tell it to rely on information you provide rather than make assumptions.
- Choose advisors and provide links to their interviews, videos, or other materials for Claude to use.
- Create a reusable “Ask the Board” skill that consults each advisor and combines their perspectives when answering questions.
- Use speech-to-text tools such as Whisperflow or Hex to answer Claude’s interview questions more quickly.
2. A specialized command center
Build a small tool for a workflow you already have rather than inventing a hypothetical product. Examples include a personal finance tracker or a YouTube planning dashboard.
- Map out the problem and plan the needed features with Claude before coding.
- Build a minimum viable product, use it, and add features as real needs emerge.
A personal tool is more likely to get used, avoids the challenge of choosing a problem from scratch, and helps clarify your workflow. It also does not need to be polished for an audience.
3. An AI-optimized personal website
Create a public profile that makes a strong impression on people and helps AI systems represent you accurately.
- Decide what visitors should think or take away, then choose the site’s structure and style accordingly.
- Gather design inspiration and ask Claude to create an initial Node.js site.
- Add links that open AI chat tools with a prewritten prompt asking about you, alongside conventional social links.
- Deploy through Hostinger’s Claude Code connector, which uses an API key to deploy from the terminal.
The presenter also mentions Hostinger’s AI log-scanning troubleshooter and says GitHub-based deployment may be preferable for a more scalable product.
4. An internal operating system for AI
Set up reusable files and processes that give Claude consistent context and help improve its future results.
- Knowledge: Reference material such as notes, voice samples, trusted frameworks, articles, and advisor content.
- Skills: Repeatable processes, including the “Ask the Board” workflow.
- Projects: Work in progress, such as the command center or website.
Use a root claude.md file to explain the system and tell Claude how to use its folders. You can also:
- Create an
/improveskill to capture feedback from completed work. For example, if Claude’s first email draft is too long, revise it and record your preference so future drafts are more concise. - Create a resource-intake skill to file new materials—such as articles, transcripts, and videos—in the right place.
- Optionally store the system on GitHub to track changes and make them reversible.
The presenter recommends starting with a useful foundation and improving it through actual use rather than trying to perfect everything upfront.
Guides, tools, and related recommendations
- The video provides step-by-step guidance for building all four projects, including planning prompts, setting up Claude skills and folders, and deploying a website.
- Hostinger: Promoted for Claude Code hosting and deployment. The presenter discusses its MCP connector, troubleshooting feature, and first-year domain offer.
- BuildPartner: A Claude Code plugin mentioned for auditing an operating-system setup, suggesting improvements, and updating files.
- Andrej Karpathy: The presenter points to a separate tutorial about Karpathy’s version of an internal AI operating system.
Main speaker and sources
- Austin Marchese: Main narrator and project demonstrator.
- Sources and tools discussed: Claude Code, YouTube and other public expert content, Whisperflow, Hex, Hostinger, BuildPartner, GitHub, and Andrej Karpathy’s internal-system example.
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