Most people use Claude like a search bar. Type question, get answer, move on. That’s roughly 20% of what it can do.
I’ve been using Claude 8+ hours a day for over a year — across consulting projects, content workflows, and code. These Claude tips cover the seven features that consistently separate casual users from people who get real work done with it.
1. Projects: Persistent Context That Remembers Your Work
What it is: Projects let you create dedicated workspaces with their own document collections and chat history. Each project gets a 200K context window — roughly 500 pages of reference material.
When to use it: Any recurring task where you need Claude to understand background context. Client work. Codebases. Research threads. Content calendars.
In practice: I keep a project for each consulting client. I upload their brand guidelines, product docs, and previous deliverables. When I start a new chat inside that project, Claude already knows the client’s voice, product names, and constraints. No re-explaining every session.
The actual difference versus regular chats: you stop wasting the first 3-4 messages on context-setting. That adds up fast.
2. Artifacts: Live Documents You Can Edit and Export
What it is: When Claude generates code, documents, diagrams, or structured content, it can render them as Artifacts — interactive panels alongside your conversation. You can edit them directly, iterate on them, and export the result.
When to use it: Code prototyping, document drafting, data visualization, SVG graphics, HTML previews. Anything where you want to see and modify the output, not just read it.
In practice: I use Artifacts to prototype landing page layouts. Ask Claude to generate the HTML/CSS, see the live preview in the Artifact panel, then iterate: “Make the CTA button larger, swap the hero image layout to two columns.” Each revision updates in place. When it looks right, export and drop it into your project.
Artifacts also support Mermaid diagrams, React components, and SVG — so you can build flowcharts, org charts, and simple interactive tools without leaving the conversation.
3. Custom System Prompts: Consistency Across Every Chat
What it is: System prompts are instructions you set at the project level that apply to every conversation within that project. They control Claude’s tone, formatting, constraints, and behavior before you type a single message.
When to use it: Whenever you need consistent output across multiple sessions. Brand voice. Report formatting. Coding conventions. Review criteria.
In practice: For content work, I set a system prompt like: “You are a senior editor. Write in active voice, short paragraphs, no jargon. Always include specific numbers or examples. Never use the phrase ‘it’s important to note.’” Every chat in that project follows those rules without me repeating them.
For code projects: “Use TypeScript. Prefer functional components. Use Tailwind for styling. No inline styles. Always include error handling.” That one prompt eliminates dozens of corrections per session. For five production-ready templates optimized for Claude’s XML handling, see these advanced system prompt templates for Claude.
4. Extended Thinking: Visible Reasoning for Hard Problems
What it is: Extended thinking mode lets Claude spend more time reasoning through complex problems before responding. You can see its thought process in real time — it’s not a different model, it’s the same model given more room to work through the logic.
When to use it: Math, multi-step analysis, debugging tricky code, comparing trade-offs, anything where a quick answer is likely a wrong answer.
When to skip it: Simple questions, creative writing, quick lookups. Extended thinking adds latency. Use it when accuracy matters more than speed.
In practice: I toggle extended thinking on when debugging. Claude walks through the code path step by step, catches edge cases it would miss in a quick response, and explains its reasoning. For a recent API integration issue, extended thinking found a race condition that three rounds of normal prompting missed.
5. Model Selection: Pick the Right Tool for the Task
Most Claude users stick with whatever model loads by default. That’s leaving performance (or money) on the table.
| Model | Best For | Speed | Cost (API) |
|---|---|---|---|
| Haiku | Quick tasks, classification, extraction, high-volume processing | Fastest | Lowest |
| Sonnet | Balanced everyday work — writing, coding, analysis | Fast | Mid |
| Opus | Complex reasoning, nuanced writing, multi-step problems | Slower | Highest |
In practice: On the Claude Pro plan ($20/month), you get access to all models. I use Sonnet for 80% of my work — it’s fast and good enough. I switch to Opus for pillar content, complex code architecture, and anything where I need the best reasoning. Haiku handles bulk tasks like summarizing meeting notes or extracting data from documents.
The key insight: model selection is task-dependent, not quality-dependent. Opus isn’t “better” in every situation — it’s better at tasks that require deeper reasoning. For straightforward work, Sonnet is faster and gives you more messages within your usage limits.
6. Prompt Patterns That Improve Output Quality
Three patterns I use daily that consistently produce better results:
Role + constraint + format: “You are a technical writer for developer documentation. Explain [concept] in under 200 words. Use one code example. No analogies.”
Few-shot examples: Paste 2-3 examples of the output format you want before your request. Claude matches the pattern far more reliably than when you describe the format in words.
Iterative refinement: Start broad, then narrow. “Draft an outline for X” followed by “Expand section 3 with specific examples” followed by “Make the tone more direct, cut any hedging language.” Three focused prompts beat one massive prompt every time.
These patterns work because they reduce ambiguity. The less Claude has to guess about what you want, the better the output. For a deeper walkthrough of each technique with before-and-after examples, see the full prompt engineering guide.
7. Power-User Workflow: Claude Code + MCP for Full-Stack Work
What it is: Claude Code is Anthropic’s terminal-based coding agent. Combined with the Model Context Protocol (MCP), it can read your files, run commands, search the web, and connect to external tools — all from your terminal.
When to use it: Multi-file code changes, project scaffolding, debugging across a codebase, automated workflows that need real context from your file system.
In practice: I use Claude Code for refactoring tasks that touch 10+ files. It reads the codebase, understands the patterns, makes coordinated changes, and runs the tests. For a recent project, I refactored an authentication module across 14 files in about 20 minutes — work that would have taken me 2-3 hours manually.
MCP extends this further by connecting Claude to databases, APIs, and services. Think of it as giving Claude hands, not just eyes. It can query your database, check your deployment status, or pull data from your CRM — all within the same conversation.
Claude Code is included in Pro and Max plans. If you write code and you’re not using it, you’re doing it the slow way.
Is Claude Pro Worth It?
At $20/month, Pro gives you 5x the usage of the free tier, access to all models including Opus, Projects, Claude Code, and extended thinking. If you use Claude for more than casual questions — for actual work — it pays for itself in the first week.
The free tier is fine for trying Claude out. But if you’re building workflows around it, the usage limits will stop you before lunch.
What to Do Next With These Claude Tips
Pick one Claude feature from this list you haven’t tried. Projects is the highest-leverage starting point — set one up for your most common type of work, upload your reference documents, and write a system prompt. You’ll notice the difference in your first conversation.
If you’re already using Projects, try Claude Code in your terminal. It’s the feature with the steepest learning curve and the biggest payoff.
Ready to go beyond the chat interface? The Claude API Python tutorial shows you how to build your first integration in 15 minutes — working code included.