Let's be honest: we're drowning in AI tools.
Every week there's a new app promising to save you 10 hours, automate your entire workflow, or somehow make you "10x more productive."
Most of them? You probably won't use them twice.
The interesting AI tools are the ones that quietly solve problems you already have. Instead of adding another complicated system to your workflow, they make something you're already doing a little easier.
Here are some of the AI tools I think are actually worth knowing about.
1. WorkBeaver
Automation sounds great until you actually have to build one.
You start with triggers, actions, integrations, conditions, and suddenly a five-minute task has turned into an hour of figuring out how the automation works.
WorkBeaver takes a different approach. You explain what you want in plain English, answer a few setup questions, and AI handles the workflow side of things.
That's useful if you have repetitive tasks but don't want to become an automation expert just to get rid of them.
Think of it as telling someone, "Whenever this happens, do this," instead of manually building the entire process yourself.
For developers and technical users, that doesn't mean traditional automation is going away. It just means there can be a much faster starting point for the boring stuff.
2. DoThisLingo
There's a funny moment when learning a language where you realize you technically understand the words... but nobody actually talks like the textbook.
That's where DoThisLingo gets interesting.
It focuses on real-life language rather than only teaching formal grammar. That includes slang, shortcuts, casual phrases, everyday conversations, travel situations, and the kinds of expressions you actually hear from locals.
It's less about memorizing another list of vocabulary and more about getting comfortable with how people really communicate.
That matters because knowing a language and actually being able to use it in a conversation aren't always the same thing.
You can take a look at it here: https://dothislingo.com/
3. ChatGPT
ChatGPT has become less of a novelty and more of a general-purpose tool.
You can use it to debug an idea, explain unfamiliar code, brainstorm a project, summarize documentation, write a first draft, or simply figure out where to start.
The important part is treating it as a thinking partner rather than an answer machine.
Give it vague instructions and you'll often get vague results. Give it context, constraints, examples, and the actual problem you're trying to solve, and it becomes considerably more useful.
4. Perplexity
Sometimes you don't need an AI to create something.
You just need it to help you find something.
Perplexity is useful for research because it combines search with AI-generated answers and source references.
It's particularly handy when you're trying to understand a new technology, compare options, investigate a topic, or get a quick overview before diving into the original sources.
For developers, that can mean spending less time jumping between search results just to understand the basics of something.
5. Canva
Not every developer is a designer.
And honestly, sometimes you just need a decent graphic without learning an entire design tool.
Canva's AI features make it easier to turn a rough idea into presentations, graphics, social posts, documents, and other visual content.
It's not going to replace a great designer, but for quick prototypes, project visuals, presentations, or documentation assets, it can save time.
6. Notion AI
Notion AI is most useful when your information is already living inside Notion.
Instead of copying your notes into another AI tool, you can use AI where your documentation, project notes, meeting notes, and plans already exist.
Summarizing long notes, cleaning up writing, generating ideas, and finding useful information become much less manual.
It's a small thing, but reducing the number of places you have to move information around can make a workflow noticeably easier.
7. Grammarly
Writing code isn't the only thing developers have to communicate.
There's documentation, pull requests, emails, project updates, proposals, README files, and the occasional message where you stare at the screen wondering if the sentence sounds weird.
Grammarly can help with grammar, clarity, tone, and rewriting.
It's especially useful when English isn't your first language or when you simply want another set of eyes before publishing something.
The best AI tool is usually the boring one
There's a temptation to collect AI tools.
You try one for research, another for writing, another for automation, another for coding, and suddenly you have 15 browser tabs open and somehow you're less productive than before.
I think the better approach is simpler.
Find the repetitive task that annoys you.
Find the thing you keep struggling to explain.
Find the information you constantly have to search for.
Then find the AI tool that removes that particular piece of friction.
That's where AI becomes genuinely useful — not when it looks impressive in a demo, but when you stop noticing that it's there because it has quietly made your workflow easier.
Top comments (0)