Use Cases
Fluent keeps you focused on the task, by helping you where your work happens. You can use it for anything from polishing a Reddit comment to comparing Amazon product pages or generating a daily brief of key inbox messages and tasks.
While Fluent is a handy writing assistant, its context features, MCP support and RAG (which is essentially a Knowledge Base) allow for powerful automation workflows – written in natural language.
Write
Fluent's core feature is text processing. Whether you're writing an email, Slack message, WhatsApp reply, blog draft, note, support answer, or social post – Fluent comes handy right in the app you're working in. Select the text, call the Smart Panel, and run an action like Magic Refine, Fix Grammar, Summarize, Translate, etc. You can also assign custom shortcut to any action and call that action directly with that shortcut. Some of the default actions already have shortcuts assigned, e.g. Fix Grammar has Ctrl+Cmd+G.
Actions like grammar fix, translation, or "make shorter" are usually the safest ones to use with Auto Insert enabled. This feature lets you run actions "in background" without opening the Smart Panel.
Reply
Fluent gets more interesting when the task is not just "rewrite this", but "help me reply on this quickly". That is where context comes into play.
If you have a Gmail thread open, a chat conversation in Slack, or a note with some context, Fluent can use the surrounding context to enhance its response with some details. This works especially well for email replies, customer support answers, client follow-ups, etc. Make sure you have either app or browser context enabled. Read more about Context to learn how it works and how to configure it.
And once you combine that with Memory, the results will get even more better. Small Memory groups like My Email Replies, My Support Replies, Product Facts, or Team Style Guide can give Fluent some grounding to work with. On top of that, you can load your writing style examples into the Memory and have a custom action use that knowledge, so that your AI-generated writing hops on a completely new level, which is essentially ghostwriting.
First play around with context to understand how it helps you. When you're comfortable with actions infusing your context, you can jump into Memory.
Summarize
Summarization in Fluent is not limited to plain text.
You can summarize a browser tab, the current app, a PDF, a document, a note, a screenshot, an attached image, or a mix of several things at once. Sometimes the output you need is a classic summary. Sometimes it is a short brief, a clean list of key points, a meeting recap, or only the parts that matter.
This works especially well when the source material is already open in front of you. Instead of copying everything into a separate tool, you can call Fluent, attach the right context, and ask for the exact shape of summary you want.
Good idea is to have custom summarize actions for different types of data, e.g. "Summarize Text" that is already a default one, "Summarize Reddit Thread" that focuses on extracting user feedback and general post meaning.
Research
Say you are reading several web pages, a PDF, maybe a document on the side, and you need one clean output from all of it. Fluent is very good at combining multiple different context together. You can easily merge several browser tabs along with multiple applications and attached files. The only limit is the model you use.
Web Search
Agentic web search is one of the main power use cases of Fluent, because it can be used along with your context and data. You can call the Smart Panel on an Amazon product page, attach a few similar products from the other tabs, and ask Fluent to research the web as well. Instead of only comparing the pages you opened yourself, it can look for reviews, complaints, benchmarks, and general sentiment, then turn all of that into one practical verdict.
This is especially good when you want to decide between products, tools, services, or subscriptions and do not feel like manually opening twenty more tabs to spend an hour on comparing yourself.
Identifying "TOP 1" or "clear winner" works best when you ask for a verdict and the reasoning behind it. Otherwise LLM may just give you a neutral comparison table without any clear "winner points".
Learn
This is another use case that fits Fluent very naturally. A lot of people use AI not only to write, but to understand things faster. That can be a scientific article, a study material, a YouTube video transcript, documentation, or even just a single paragraph that is more complicated than it needs to be. Instead of opening a separate tutor or notes app, you can call Fluent right there and ask it to explain, simplify, summarize, or turn the material into something easier to work with.
One clever use case is to feed Fluent with the context of your material and get it to create study notes for you.
Sound Like You
This has already been touched briefly, but ghostwriting with Fluent's Memory (RAG) engine is surprisingly powerful. You can create Memory groups for your own blog posts, social media or email replies, product docs, and personal notes. Fluent can augment this data not only for amplifying your writing with the appropriate context, but to actually write in your style. This goes far beyond just "humanizing" the text, rather getting the models really understand how you write.
Good idea is to create separate Memory groups for different voices. Your blog voice, support voice, and social media communication voice are probably not the same thing.
Continue
With the follow-up tabs and History Fluent helps you keep iterating without losing what happened before, and you can come back later, reopen an old thread of work, and continue from there instead of starting over.
The follow-up tabs were intentionally designed to keep your focus on what matters, instead of spreading it all over in a long chat. However, as many users have already requested for that, traditional chat-like flow will also be supported soon.
You can re-open last chat with
Cmd+Shift+Thotkey, and use full-text search across all your chats in the History menu.
Plan
AI can be exceptionally good at organizing things. Say you have rough scattered notes or thoughts, a meeting summary, or a list of things to do. Fluent can help turn that mess into something clearer, and it's not just about making a more organized list of things, but actually about doing things. It is one of those use cases that doesn't come into mind, but becomes very valuable once you start using it every day.
Automate
Finally, Fluent is not only about generating text. With built-in integrations and external MCP servers, it can also help you automate the boring parts for you.
For example, Fluent can automatically check your Gmail inbox for urgent letters, clean up your Downloads folder or help to sort it out. Create daily briefs in Obsidian, set up reminders and calendar events. All of that either manually, or on a scheduled basis, thanks to Scheduled actions feature.
Small automations are usually the best ones. "Summarize my morning financial news sources" is a much better starting point than "run my whole day". Though, with a proper model, Fluent can do hundreds of steps in a single flow without losing the context.
Final Note
Fluent is a particularly good fit if you:
- Write in many different Mac apps
- Answer similar questions over and over
- Spend a lot of time reading and summarizing
- Want AI to sound more like you and less like a template
- Want one shortcut for repetitive tasks
- Care about keeping work local with Memory, History, and local models
It is also one of those apps that gets better the moment you stop using it like a chatbot and start using it like a part of your actual workflow.
If you only use Fluent to ask random questions, it will still be useful. But the real value starts when you create a custom action for a task you repeat often, assign a shortcut to it and run it on schedule or manually.
Simple like that.