Raycast AI Commands: Complete Guide for Beginners (2026)

Published February 15, 2026 • 10 min read

If you use a Mac for development or knowledge work, you've probably heard of Raycast. The launcher itself is excellent, but the feature that turned it from "nice to have" into "can't live without" for me was Raycast AI. Instead of switching to a browser tab to ask ChatGPT a question, or copying text into a separate app for rewriting, you can do everything from a single keyboard shortcut without ever leaving your current context.

This guide covers everything you need to know about Raycast AI commands in 2026 — from the built-in basics to creating your own custom commands that fit your exact workflow. Whether you just activated your Raycast Pro trial or you're trying to decide if Pro is worth it, this will help you get the most out of the AI features.

What Is Raycast AI?

Raycast AI is a built-in AI assistant that lives inside your Raycast launcher. It's not a separate app or browser tab — it's woven directly into the command palette you're already using dozens of times per day. Open Raycast, type your query or select an AI command, and get results instantly.

There are three main ways to interact with Raycast AI:

  • AI Commands — pre-built or custom commands that process selected text or take input and produce a result (e.g., "Fix Grammar," "Explain Code," "Summarize")
  • AI Chat — a conversational interface where you can have back-and-forth discussions, ask follow-up questions, and maintain context across messages
  • Quick AI — highlight any text anywhere on your Mac, hit a shortcut, and run an AI command on it instantly

The key difference between Raycast AI and standalone tools like ChatGPT is integration. Raycast AI works with your selected text, your clipboard, and your system context. You don't copy-paste into a chat window. You select text, trigger a command, and the result appears — or gets copied to your clipboard, or replaces the selected text. It eliminates the friction that makes most people stop using AI tools after the novelty wears off.

Built-in AI Commands: What Ships Out of the Box

When you activate Raycast Pro, you immediately get access to a library of built-in AI commands. These are designed to cover the most common use cases, and they work well enough that many users never need to create custom commands. Here's what you get:

Fix Spelling & Grammar

Select any text — an email draft, a commit message, a Slack response — and run "Fix Spelling & Grammar." It corrects errors while preserving your voice and tone. This is the command I use most often, honestly. It catches the kind of typos that spell-check misses because the misspelled word happens to be a real word (think "their" vs "there").

Improve Writing

Similar to grammar fixing, but more aggressive. It restructures sentences, improves clarity, and tightens your prose. Useful for documentation, blog posts, and client-facing communications. I run this on every important email before sending.

Make Shorter / Make Longer

Two simple commands that do exactly what they say. "Make Shorter" condenses text while preserving meaning — great for trimming wordy paragraphs. "Make Longer" expands brief notes into fuller explanations, useful when you need to flesh out bullet points into documentation.

Change Tone

Rewrites selected text in a different tone — professional, casual, friendly, or direct. I use this constantly when adapting messages for different audiences. A technical explanation for my team becomes a clear summary for stakeholders with one command.

Explain Code

Select a block of code and get a plain-English explanation of what it does. This is invaluable when reading unfamiliar codebases, reviewing pull requests, or trying to understand legacy code. It handles everything from simple functions to complex regex patterns and SQL queries.

Find Bugs

Analyzes selected code for potential issues — null pointer risks, off-by-one errors, race conditions, missing error handling. It won't catch everything a proper linter or test suite would, but it's surprisingly good at spotting the kinds of bugs that slip past code review.

Summarize

Condenses long text into key points. Works on articles, meeting notes, documentation, email threads — anything you need to digest quickly. I pipe long Slack threads through this before responding.

Translate

Translates selected text to your target language. Supports all major languages and handles technical terminology better than basic translation tools because it understands context. You can specify the target language in the command.

Real-World Use Cases: How Developers Actually Use Raycast AI

The built-in commands are useful, but the real power shows up when you integrate AI commands into your daily workflow. Here's how I actually use them — not in theory, but in practice, every day.

Code Review Acceleration

When reviewing a PR with unfamiliar code, I select functions I don't immediately understand and run "Explain Code." Then I select sections that look risky and run "Find Bugs." This doesn't replace a proper review, but it cuts the time to understand context by 50% or more. I can focus my review on architecture and design decisions instead of spending time parsing what each function does.

Commit Message Writing

I write a rough description of my changes, select it, and run "Improve Writing" with a custom command I built that formats output as a conventional commit message. Consistent, well-structured commit messages without the mental overhead of writing them from scratch.

Documentation Drafting

Start with bullet points of what a function or API endpoint does. Select them. Run a custom "Write Documentation" command. Get a first draft of documentation that I can refine. This has cut my documentation time by 70% — which means I actually write documentation now instead of "getting to it later."

Email and Slack Communication

Draft a quick response. Run "Fix Grammar." If it's going to a non-technical audience, run "Change Tone" to professional. If it's too long, run "Make Shorter." Three commands, five seconds, and every message is polished. This matters more than most developers think — clear communication is a career multiplier.

Translation for International Teams

Working with international colleagues? Select a message, translate it, paste the translation. No switching to Google Translate, no copying between tabs. When you need to write a message in another language, draft it in English, translate, and send. The translations are context-aware, so technical terms stay accurate.

Learning New Technologies

Reading documentation for a new framework? Select a code example you don't understand and run "Explain Code." Select a concept you're unfamiliar with and use AI Chat to ask follow-up questions. It's like having a patient senior developer sitting next to you.

Creating Custom AI Commands

This is where Raycast AI goes from "useful tool" to "force multiplier." Custom AI commands let you define your own prompts, specify input handling, choose the AI model, and control how the output is used. Once created, they appear in your command palette just like built-in commands.

How to Create a Custom Command

Open Raycast, go to Settings, navigate to the AI section, and click "Create AI Command." You'll configure:

  • Name — what appears in the command palette (e.g., "Write Unit Test")
  • Prompt — the instruction sent to the AI model, with placeholders for input
  • Input — where the input comes from (selected text, clipboard, or manual entry)
  • Creativity — a slider from precise (low temperature) to creative (high temperature)
  • Model — which AI model to use (GPT-4o, Claude, etc.)
  • Output — what to do with the result (copy to clipboard, paste, replace selection, or show in window)

Custom Command Examples

Here are commands I've built that I use daily:

Write Unit Test: Takes selected code as input, generates a unit test using the testing framework I specify in the prompt (Jest, pytest, Go testing, etc.). The prompt includes instructions about my preferred test structure, assertion style, and edge case coverage.

PR Description: Takes a git diff or commit list as input and generates a well-structured pull request description with summary, changes, and testing notes. I paste my diff, run the command, and get a PR description in seconds.

Explain Error: Takes an error message and stack trace as input and explains what went wrong, likely causes, and suggested fixes. Faster than googling the error message and scanning Stack Overflow posts.

Convert to TypeScript: Takes JavaScript code and converts it to TypeScript with proper type annotations. Handles interfaces, generics, and union types intelligently. Not perfect for complex cases, but handles 80% of conversions correctly.

SQL to ORM: Takes a raw SQL query and converts it to my ORM of choice (Prisma, Sequelize, SQLAlchemy). The prompt specifies which ORM and includes my project's model naming conventions.

Prompt Engineering Tips for Custom Commands

The quality of your custom commands depends entirely on the quality of your prompts. Here are the patterns that work best:

  • Be specific about the output format. Instead of "write a test," say "write a Jest test using describe/it blocks with expect assertions. Include setup and teardown if needed."
  • Include constraints. "Keep the response under 50 lines." "Use only standard library functions." "Don't add comments unless the logic is non-obvious."
  • Provide context in the prompt. "The input is a Python function. The project uses Flask, SQLAlchemy, and pytest." This prevents the AI from guessing your stack.
  • Use low creativity for deterministic tasks (code generation, formatting, conversion) and higher creativity for open-ended tasks (brainstorming, writing, naming).
  • Iterate. Start simple, use the command a few times, then refine the prompt based on where the output falls short.

AI Chat: Conversational AI in Your Launcher

AI Chat is a separate mode in Raycast that lets you have multi-turn conversations with an AI model. Unlike AI commands (which are fire-and-forget), Chat maintains context across messages, so you can ask follow-up questions, refine answers, and explore topics in depth.

You can start a new chat from the command palette, or convert any AI command result into a chat to continue the discussion. Chats are saved and searchable, so you can revisit past conversations.

Practical uses for AI Chat:

  • Architecture discussions — describe your system and ask about trade-offs for different approaches
  • Debugging sessions — paste an error, get suggestions, share what you've tried, and iterate toward a solution
  • Learning — ask about a concept, then drill down with follow-up questions until you understand it
  • Planning — outline a feature, get the AI to poke holes, refine the plan

I find Chat most useful for problems where I need to think out loud. The AI doesn't always give the right answer on the first try, but the back-and-forth often leads me to the solution faster than I'd get there alone.

Raycast AI vs. ChatGPT and Standalone AI Tools

The obvious question: why use Raycast AI when ChatGPT, Claude, and other AI tools exist? I've used all of them extensively, and here's my honest take.

ChatGPT (browser or desktop app) is more powerful for complex, multi-step conversations. It has web browsing, image generation, and a wider range of plugins. But it requires context-switching — you leave your work, open a browser tab, type your question, copy the answer, and go back. That friction adds up across dozens of daily interactions.

Raycast AI wins on integration and speed. It works with your selected text, lives in your command palette, and keeps you in flow. For the kind of AI tasks that take 5-30 seconds (rewriting, explaining, fixing, translating), Raycast AI is objectively faster because there's zero context-switching.

The answer for most developers is: use both. Raycast AI for quick, contextual tasks throughout the day. ChatGPT or Claude for deeper research, brainstorming sessions, or complex multi-step tasks. They're complementary, not competitive.

The cost math is interesting too. Raycast Pro at $8/month includes AI commands plus all the other Pro features (cloud sync, unlimited clipboard, themes). ChatGPT Plus costs $20/month for just AI. If you can handle most of your AI needs through Raycast, you might not need a separate AI subscription at all.

Getting Started: Your First 30 Minutes with Raycast AI

If you just activated Raycast Pro (or are about to start a free trial), here's how I'd recommend getting started with AI commands:

  1. Minutes 1-5: Open Raycast, search for "AI," and browse the built-in commands. Run "Fix Grammar" on a paragraph and "Explain Code" on a code snippet to see how they work.
  2. Minutes 5-10: Set up Quick AI. Go to Raycast Settings → Extensions → AI and assign a global hotkey. Now you can select text anywhere and trigger AI commands instantly.
  3. Minutes 10-15: Try AI Chat. Open a new chat and ask it something related to your current work. Test the follow-up capability.
  4. Minutes 15-25: Create your first custom command. Pick a repetitive task — commit messages, email tone adjustment, code commenting — and build a command for it.
  5. Minutes 25-30: Set up aliases. Assign short aliases to your most-used AI commands so you can trigger them with just a few keystrokes.

After 30 minutes, you'll have a working AI setup that saves time on every project. The ROI compounds from there — every custom command you build is time saved on every future use.

Tips for Power Users

Once you're comfortable with the basics, here are some advanced techniques:

  • Chain commands: Run "Explain Code" to understand a function, then "Write Unit Test" to generate tests for it. Two commands, 10 seconds, and you've gone from unfamiliar code to tested code.
  • Model switching: Use GPT-4o for creative writing and brainstorming. Use Claude for code analysis and technical accuracy. Different models have different strengths — learn when to use each.
  • Snippet integration: Combine AI commands with Raycast snippets. Create a snippet for common prompts, expand it, run an AI command on it. Automate the automation.
  • Context-aware prompts: In custom commands, include instructions like "The user is a senior developer" or "Explain as if to a junior developer" to calibrate the output level.
  • Explore AI Presets: Raycast ships with curated prompt presets that give you a head start. We break them down in our guide to Raycast AI Presets.

For a broader look at extending Raycast, check out our guide to the best Raycast extensions to find more tools that pair well with AI commands.

Frequently Asked Questions

Do I need Raycast Pro to use AI commands?

Yes. Raycast AI commands require a Raycast Pro subscription. The free plan includes the launcher, extensions, and basic features, but AI commands, AI chat, and custom AI commands are exclusive to Pro. You can try them free with a 14-day trial.

Which AI models does Raycast AI use?

Raycast AI supports multiple models including GPT-4o, Claude, and other leading LLMs. You can switch between models depending on the task. Raycast handles the API connections, so you don't need separate API keys or subscriptions for each model.

Can I create my own custom AI commands?

Yes. Raycast Pro lets you create custom AI commands with your own prompts, input parameters, and output handling. You can define the model, creativity level, and even chain commands together. Custom commands appear in the Raycast command palette just like built-in ones.

Is my data private when using Raycast AI?

Raycast does not use your data to train AI models. Your prompts and responses are processed securely and are not stored beyond what is needed to deliver the response. Raycast follows strict data privacy practices, and you can review their privacy policy for full details.

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