What you will learn
- What Claude, Muse and ChatGPT are each best at, in plain terms
- How to pick the right assistant for writing, coding, research and daily tasks
- How to write prompts that return structured, usable output
- How to use AI for automation, websites, social media and business tasks
- How to check AI output before you publish, send or act on it
- When to use one tool, and when to use two of them together
What each platform is best at
Claude, made by Anthropic, is a strong choice for long writing, careful editing, and working through documents and code step by step. Its chat interface keeps long conversations organised, and features such as artifacts let you see a draft, a document, or a piece of code as a separate result you can revise, rather than only as text in the chat. Projects let you group related chats and reference material together, which suits ongoing work such as a book, a course, or a client project. Claude Code, a separate coding tool, is aimed at developers who want an AI assistant inside their normal coding workflow.
Muse is Meta AI, the assistant built into WhatsApp, Instagram, Facebook, and the Meta AI app. Its main advantage is location: it is already where many people chat, share photos, and run business pages, so you do not need to open a separate app to ask a question, draft a reply, or generate an image. Voice mode suits hands-free use, and image generation suits quick visuals for posts and messages. Muse is the most convenient of the three for short, everyday tasks inside social apps, and the least suited to very long, structured documents.
ChatGPT, made by OpenAI, is the most general-purpose of the three. It covers chat, custom GPTs built for a repeated task, canvas for editing drafts and code side by side, voice conversation, deep research for multi-source questions, and image generation. That breadth makes it a good default if you only want to learn one tool well. Its weakness is the same as its strength: with so many features, it is easy to stay at the surface and never build a repeatable workflow for the work you actually do.
How to use this tutorial section
Each platform has its own hub page, and each hub links to 25 tutorials. The tutorials follow the same pattern across platforms, so you can compare like with like: getting started, prompt engineering, writing and editing, coding, data analysis, research, brainstorming, email, learning, productivity, privacy, power-user tips, and business use, plus practical topics such as automation, websites, voice agents, SEO audits, social media, video, and AI products. If you already use one platform, work through its hub in order. If you are choosing, read one comparison page first, then start with the winner for your main task.
Every tutorial ends with the same discipline: check the output before you use it. AI tools can state facts confidently, invent details, and produce code or text that looks finished but is wrong in a small, costly way. The tutorials teach you to verify numbers, names, and claims against a source you trust, to test code before you ship it, and to keep private or sensitive information out of prompts unless you have checked what the tool does with it. That habit matters more than any single prompt.
An example prompt to try first
Pick the assistant you already use and paste a version of this prompt, filling in the bracketed parts with your own task. It works because it states the job, the audience, the format, and the length, instead of asking an open-ended question.
Help me plan a [blog post / email / lesson] about [topic] for [audience]. First, list 5 angles I could take, with one sentence each. Then draft an outline with headings and 2-3 bullet points per section. Keep the tone plain and factual. Do not invent statistics or quotes.
Tip: When an answer is vague, do not start over. Reply with what was wrong and what you want instead, for example: shorter, with headings, and with the steps numbered. One correction usually beats a brand-new prompt.
Which platform should you learn first?
Learn Claude first if your main work is long-form writing, editing, research, or coding, and you want an assistant that handles long documents carefully. Learn Muse first if you live in WhatsApp, Instagram, or Facebook, and you want AI help inside the apps you already open every day, especially for messages, business pages, and quick images. Learn ChatGPT first if you want one general tool that covers chat, voice, images, research, and custom assistants, and you are willing to spend a little time learning which feature fits which job. None of these choices locks you in: the prompting skills transfer, and many people end up using two of them for different jobs.
A note on plans and features
Features, limits, and pricing for all three platforms change over time, and availability can vary by country and by app. This section describes well-known public capabilities and deliberately avoids quoting prices, plan names, or usage limits that may already be out of date. Before you pay for anything or build a business process on a feature, check the current plans and feature list inside the app or on the provider's own site.
Frequently asked questions
Which AI assistant should a beginner learn first?
Start with the one you already use. If you chat on WhatsApp, Instagram or Facebook, Muse is the easiest start. If you want one general tool, ChatGPT is a good default. If your work is mostly long writing or coding, Claude is a strong first choice. The prompting skills transfer between all three.
Are Claude, Muse and ChatGPT free to use?
Each platform offers free access in some form, and paid options with more capacity and features. What is included, and what the limits are, changes over time, so check the current plans inside the app before you rely on a feature for paid work.
Can I use more than one AI assistant?
Yes, and many people do. A common pattern is to use one tool for drafting and another for checking, or to use Muse for quick tasks inside social apps and Claude or ChatGPT for longer documents. Use the comparison pages on this site to decide which combination fits your work.
Do I need to know how to code to follow these tutorials?
No. Most tutorials need no coding at all. The coding tutorials explain each step, and the website and automation tutorials are written for people who want a working result, not a programming lesson.
How accurate is AI output?
AI output can be fluent and wrong at the same time, especially on facts, numbers, and quotes. Treat every answer as a draft: verify important claims against a trusted source, test code before shipping it, and never publish or send something you have not read.