
Free book · 200+ pages · tamnguyen.ai
The reference manual to read after you ship your first Claude project and want to ship 10 more. Models, Claude Code setup, skills, hooks, MCP, sub-agents, the Anthropic SDK, and 3 capstone labs you can run this weekend.
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Here's the setup that takes most of the book's Part 2. Run these now and you're live. The book picks up from here with what to build first.
Mac/Linux: open Terminal and paste:
curl -fsSL https://claude.ai/install.sh | sh
Windows: open PowerShell (not Git Bash, that one breaks) and paste:
irm https://claude.ai/install.ps1 | iex
Type claude in the terminal. It'll open a browser tab and prompt you to sign in with your Claude Pro ($20/mo) or Max account. After auth, you're back in the terminal, blinking cursor, ready.
Drop a file called CLAUDE.md at the root of your project. This is the single biggest upgrade. Even a 10-line version is enough to start.
# Project: Sales Ops Tools ## Stack - Node 20, TypeScript, Postgres ## Conventions - All scripts in /scripts, use npm run for entry - Never touch /vendor or /.archive ## Test commands - npm test - npm run typecheck
What's inside
10 questions, real answers
These are the actual top friction points I see from operators, builders, and founders trying to use Claude in their business. Each answer is the version I'd give in a 1-on-1 call. The book goes deeper on every one.
Claude is the AI model family (Opus, Sonnet, Haiku) — you can talk to it in a chat window at claude.ai. Claude Code is a separate tool: it runs in your terminal, reads files on your computer, writes and edits code, and runs commands. Same underlying model, but Claude Code has hands. You use claude.ai when you want a chat. You use Claude Code when you want something built or changed on your machine.
Open PowerShell (not Git Bash — Git Bash will throw a 'Raw mode is not supported' error) and run: irm https://claude.ai/install.ps1 | iex. Restart your terminal, then type 'claude' to launch. If the command isn't found after install, add the install path to your User PATH in System Properties → Environment Variables. On Mac or Linux, run: curl -fsSL https://claude.ai/install.sh | sh. You need a Claude Pro ($20/mo) or Max plan to authenticate.
No, but it helps to be comfortable in a terminal. Claude Code talks to you in plain English. You describe what you want, it writes the code, it asks before changing files. The buyers who get the most out of it are operators (marketing managers, sales ops, finance analysts) who already have technical problems they're paying engineers to solve. The book has 3 capstone labs aimed at non-engineers.
Default to Sonnet. It hits 90% of use cases at a fraction of Opus cost. Use Opus only for the hard stuff: long-horizon planning, complex multi-step reasoning, and tasks where one wrong step ruins the output. Use Haiku for high-volume structured tasks: JSON extraction, classification, ticket triage. The Bible has a decision tree on page 31 you can screenshot.
Yes, this is the single biggest improvement most people miss. CLAUDE.md is a file you drop in your project root that tells Claude Code how your codebase works: your stack, your conventions, your test commands, files to never touch. Claude Code reads it automatically on every session. It's the difference between Claude getting up to speed in 30 seconds vs. asking you the same setup questions 50 times.
Skills are markdown files that tell Claude what to do (e.g., 'when the user asks for a PR review, do these 5 things'). MCP servers are external tools Claude can call (your database, Slack, a custom API). Hooks are scripts that fire automatically at lifecycle events (e.g., 'always run the linter before committing'). Sub-agents are isolated Claude instances that handle heavy work in their own context window. Part 3 of the book has 1-page rulebooks for each.
Subscription path: Claude Pro $20/mo gets you light usage, Max $100 covers most professional work, Max $200 is unrestricted. API path: pay per token (Sonnet around $3-15 per million tokens depending on cache). Real-world: most operators run on Max $100 and stay well under the 5-hour token caps. The book has a cost-control chapter with prompt caching tactics that drop bills 50-90%.
Yes, with guardrails. Realistic wins for week 1: meeting notes → action items, multi-source weekly reports, ticket triage, lead enrichment, content repurposing. Not realistic: handing it a vague goal and walking away. Claude is a junior dev that's read everything but has no memory of your specific business. The book's capstone labs are the patterns that survive contact with reality.
Two main reasons. One: it interpreted your request as potentially harmful (legal advice, medical advice, anything sketchy). Fix: clarify intent and context — 'this is for my own personal use,' 'this is sample data,' etc. Two: it's uncertain and being cautious — sometimes false refusals happen on benign requests. Fix: rephrase, add context about who you are and why you need it, or switch to a stronger model. Don't argue with the refusal, just give it more context.
Three rules. (1) Never paste production credentials, customer PII, or unredacted financials into claude.ai — use the API or Claude Code with explicit data-handling rules. (2) Use Claude Code's permission system to restrict file access (Read-only mode for sensitive folders). (3) Run a sub-agent for anything touching sensitive data so its output is isolated. The Bible's Production and Safety section walks through Anthropic's enterprise data policies.
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Plus 3 capstone labs, the decision trees, the cost-control tactics, and the production safety checklist. Free.
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