Popular Lesson
Understand when to use Claude instead of your daily driver for code-heavy work and rapid prototyping.
Compare Claude’s models Opus, Sonnet, and Haiku so you know which to pick for speed or depth.
Create production-ready web sections from a screenshot and export or embed the generated code.
Build an interactive dashboard from a CSV or Excel file and publish it for sharing.
Use artifacts to publish, version, and remix small apps, tools, and templates with a public link.
Generate visual assets like infographics through code and iterate with quick, targeted prompts.
Claude is a large language model and AI chatbot from Anthropic. While ChatGPT and Google Gemini may remain your daily drivers for writing and research, Claude often produces stronger results for coding tasks and building interactive outputs. In this lesson, you will see how Claude turns screenshots into working web pages, converts spreadsheets into dashboards you can present, and publishes those outputs as artifacts you can share or remix.
You will also learn how Claude’s model lineup affects your work. Opus is the most capable model for complex builds, Sonnet sits in the middle, and Haiku is best for fast, lightweight responses. The free tier is limited for the top model, and even with a modest paid upgrade you can run into usage caps, so the lesson shows how to get the most value out of the time you do have with Opus.
This lesson matters if you need to move quickly without waiting on a design or engineering queue. Examples include generating a landing section from a page screenshot to test a concept, publishing a dashboard for a team meeting, or remixing existing artifacts like an email assistant or a habit tracker. The goal is to help you use Claude as a practical builder when you want real outputs you can copy, embed, present, or share.
If you need working code or interactive visuals without a long build cycle, this lesson will help you get there. Claude is especially useful when you want to iterate quickly, refine with follow-up prompts, and publish a shareable result.
Use Claude when your next step is a working interactive asset, not just text. Typical points in a project include turning a mock or screenshot into a web section you can copy and embed on your site, or transforming a CSV into an interactive dashboard for a weekly check-in. Claude’s artifacts make sharing simple. You can publish a link for a meeting, present it full screen, and refine with quick prompts without rewriting everything.
Two practical examples:
Claude fits alongside your daily tools. Use ChatGPT or Gemini for everyday writing and research, then switch to Claude when code, dashboards, or mini apps are the outcome.
The manual way to do this work often involves a design request, a handoff to developers, and a waiting period measured in days. Spreadsheet reporting tends to be static, and design iterations for graphics or infographics can be slow. Claude changes the pace by generating usable code and interfaces in minutes, and by updating the existing build with targeted prompts rather than rewriting everything from scratch.
Two high-impact use cases:
This approach improves speed and clarity. You get production-ready outputs faster, with cleaner iteration loops, and you can choose to export code or publish a link depending on privacy and workflow needs.
Scenario: You have a simple CSV of orders, leads, or signups from the past quarter and you want to present trends to your team.
Steps:
Reflection: Compare this result to your usual spreadsheet deck. What did you explain better with the interactive view, and what would you change before sharing it more widely?
This lesson sits in the middle of the 14-Day AI Boot Camp where you are comparing leading AI tools by real outcomes. You have seen how daily drivers handle writing and research. Now you have a focused look at Claude for code, dashboards, graphics, and artifacts you can ship quickly. Next you will explore AI powered search to improve how you find and present information. Continue through the course to build a practical toolkit that uses the right model for the job and helps you move from idea to usable output with less friction.