Let me be honest, generating an AI image or video is no longer the difficult part.

The real problem starts when you want an output that you can actually use, since you can’t simply ask an AI video generator to generate a video because it feels like AI, is generic, and is of no use.

I’ve tried several AI video tools myself, and here’s one problem I see: generating a few impressive clips is easy, but turning them into a complete, polished video is a different story.

You still need to plan the scenes, create supporting visuals, add voice overs and captions, synchronize music, build motion graphics, and edit everything into a final video. That’s a lot of work, even when AI handles some of the individual steps.

That’s where I want to talk about Fotor Agent, which goes beyond simply generating video clips by planning and assembling a complete video project from your idea or existing assets, coordinating scenes, visuals, voiceovers, subtitles, music, transitions, and motion graphics, and organizing everything on an editable multi-track timeline.

You can also create animated charts, data visualizations, and motion graphics, then edit individual elements without rebuilding the entire video.

I wanted to explore how useful this approach could be in real content creation, so I tested a few workflows for promotional videos, explainers, and repurposing content.

Note: This post contains no affiliate links, so when you try any of these tools, I won’t be making a single penny. I test many AI tools every week and only suggest the workflows that can genuinely help and provide value to my readers.

My only intention with this post is to provide value, and if you find something helpful, you can subscribe to me on Substack.

With that said, here are 3 practical ways you can use Fotor Agent to streamline video production.

Workflow #1. Use Fotor Agent to Create Promotional Videos From Scratch

You know, one can create any type of video using a single AI tool called Fotor Agent, and this workflow is related to that.

Suppose you have started a new business and want to create a promotional video for it.

You may want to generate some assets and then generate a video, remove unwanted elements or clips, change the background, add text, and adjust the composition to make sure everything looks right.

Well, you can do all that within the Fotor Agent tool without jumping between different AI tools, and here’s the complete workflow for that:

First, visit the Fotor Agent website, create your account, and then inside the Video tab write down your prompt.

Here’s the prompt I wrote:

Create a 20-second, cinematic premium coffee advertisement for my specialty coffee brand, "Morning Ritual", using the two uploaded reference images:

• Product reference: Use the uploaded Morning Ritual coffee product photo as the exact reference for the packaging, colors, materials, proportions, and label design.
• Logo reference: Use the uploaded Morning Ritual logo as the official brand identity for the final shot.

The creative concept is "The world can wait. Your morning ritual cannot".

The video should feel like a high-end commercial for an independent luxury coffee brand, combining intimate morning storytelling, dramatic macro photography, warm natural light, and sophisticated product cinematography. Every shot must feel intentional, tactile, and beautifully art-directed.

So generate the scenes and script, and then generate a video based on that.

As you can see, I didn’t add my script or scenes. I simply wanted to see what Fotor Agent came up with.

And after I clicked the “Generate” button, it started planning and came up with a storyboard, which I needed to confirm or edit if I didn’t like it.

Now, it started generating the video, and it may take some time since it’s performing a lot of tasks in the backend.

After close to 5 minutes, I could see my video inside the Fotor Agent video editor. The video is divided into different scenes that can be easily edited, and I can even add text, transitions, filters, and more from the left sidebar. From the right sidebar, I can also prompt and edit the video the way I want.

Here, I simply added the text “GET YOUR DAY STARTED” at the start of the video, and I was happy with the output, so I downloaded it.

Here’s what the video looks like:

Workflow #2. Use Perplexity, ChatGPT & Fotor Agent to Create Explainer Videos

Now suppose I want to explain a complicated topic, such as how AI agents are changing the way small businesses operate.

I could write a detailed article about it as a writer, but some ideas are much easier to understand when you can actually see them.

For example, imagine showing something complicated like how an AI agent receives a customer request, checks inventory, updates a CRM, and sends a follow-up email.

A simple animated workflow can explain that process much faster than several paragraphs of text.

But the problem is that creating these explainer videos traditionally requires scripting, storyboarding, designing graphics, and editing everything together.

And that’s where you can use Perplexity, ChatGPT, and Fotor Agent to simplify the process.

Step 1: Research the topic with Perplexity

First, open Perplexity and research the topic you want to explain.

Don’t just ask for a general overview. You need specific information that can be converted into a visual story.

Try this prompt:

I'm creating a beginner-friendly explainer video about how AI agents are changing the way small businesses operate.

Research this topic using reliable, recent sources.

I want you to identify:

1. Three real business problems that AI agents can help solve.
2. A step-by-step explanation of how an AI agent handles each problem.
3. One concrete example for each workflow.
4. The difference between an AI agent and a traditional chatbot or automation tool.
5. The limitations, risks, and situations where human intervention is still necessary.

Prioritize practical examples over definitions and predictions.

Include source links for factual claims. Clearly distinguish between capabilities that exist today and examples that are hypothetical. And organize the findings so they can be turned into a 60 to 90-second explainer video.

This gives you the raw material for your video without having to figure out the entire structure yourself.

I always recommend that you have a clear understanding of the topic you’re talking about or the video you’re generating. And this process helps you with that.

Step 2: Turn the research into a visual script with ChatGPT

Now, take the research and open ChatGPT.

I prefer ChatGPT since I’ve extensively trained it on my writing style, tone, and format, so it generally generates content or scripts in my writing style.

And here, my goal is to generate a script where every scene explains something useful, informative, and specific that users actually want to know or understand.

So, use this prompt:

I'm creating a 35-second explainer video titled "How AI Agents Actually Work in a Small Business".

Using the uploaded research, and create a scene-by-scene video script.

For every scene, provide:

• Duration in seconds.
• Voiceover narration.
• The exact visual that should appear on screen.
• On-screen text, limited to 6 to 10 words.
• Animation or motion graphics that would make the concept easier to understand.
• A transition to the next scene.

Structure the video like this:

1. Open with a relatable business problem.
2. Show how the problem is currently handled manually.
3. Introduce the AI agent.
4. Visualize the agent completing the task step by step.
5. Show the practical benefit.
6. End with one important limitation or takeaway.

Avoid generic futuristic AI imagery, floating robots, and meaningless animations.

Use recognizable business interfaces, simple diagrams, and clear visual comparisons wherever possible. And keep the narration conversational and make sure the video can be understood by someone who has never used an AI agent.

And here’s what it generated:

Sure, you can even ask Fotor Agent to generate the script, and you can even edit it there as well. I just want to showcase another way or workflow where you can use ChatGPT with Fotor Agent.

Step 3: Build the video with Fotor Agent

Now comes the interesting part: Open Fotor Agent and use the script as your production brief.

Instead of asking it to generate a random video about AI agents, give it the complete structure, including the scenes, narration, visual instructions, and on-screen text, so it generates the script, storyboard and then the video based on what you want.

For example, here’s the prompt that I will paste into Fotor Agent:

Create a professional 35-second explainer video titled "How AI Agents Actually Work in a Small Business".

Use the scene-by-scene script below as the production plan.

Visual direction:

• Style: clean, modern business explainer.
• Aspect ratio: 16:9.
• Color palette: navy, white, and teal.
• Use clear diagrams, interface-style visuals, process flows, and animated text.
• Maintain a consistent visual style across every scene.
• Keep on-screen text short and readable.
• Use motion graphics to explain processes rather than adding decorative movement.

Build the video in a logical sequence. Make each scene communicate one idea and ensure the transitions feel natural.

Keep the narration aligned with the visuals. Do not invent statistics, business results, or factual claims that aren't supported by the script.

Here is the complete script and storyboard: [Paste the script here.]

As shared in the 1st workflow, it will first read the prompt, and provide me the script and the storyboard which I need to confirm, and then it will generate the video, as you can see below.

And here’s the generated storyboard:

I’ve simply confirmed both the script and the storyboard, and here’s the video it generated:

Here’s another long video generated using Fotor Agent:

As you know, you can edit the generated video via a prompt or through the editing features available right inside Fotor Agent.

For instance, if the diagram showing the agent’s workflow is too complicated, ask it to simplify the diagram and highlight only the three most important steps. The important thing is to review the result rather than assuming the first generation will be perfect.

I am okay with the generated output, so I won’t edit the video and will simply use it for my needs.

When this workflow is useful

You can use this approach to create:

• Educational videos explaining complex topics.
• YouTube explainers about technology and business.
• Training videos for employees.
• Product tutorials and feature demonstrations.
• Visual explanations of research, reports, and case studies.

The real advantage is that you use the specific and best AI tool for research, scriptwriting, and video generation instead of asking one AI tool to figure everything out at once.

Workflow #3. Turn One Idea Into a Week of Content Using ChatGPT + Fotor Agent

If you’ve read this far, you know that we have started with the basics, learned how to use Fotor Agent, and then learned how to use it with your favorite tools.

Now, let’s look at a workflow where we’ll see how to use ChatGPT + Fotor Agent to turn one idea into a week of content.

Step 1: Start with one piece of content

Start with an idea. It can be anything based on your expertise or what you write about.

I write about AI tools and how to use them practically in everyday tasks to save time and increase productivity. I then write articles sharing practical workflows, like the ones I’ve shared in this post.

And I can easily write an article by doing my research and then testing multiple AI tools in real workflows.

Sure, if you have trained ChatGPT on your drafts and it can mimic your writing style, you can generate content with it as well.

Now, the next step is to promote my content across LinkedIn, Instagram, and YouTube.

That’s where I first use ChatGPT and write a prompt like this:

I'm promoting an article titled "6 AI Tools That Save Me Hours Every Week (No BS)"

The target audience is professionals, freelancers, and content creators who want practical ways to use AI in everyday tasks.

I've uploaded the complete article for your reference. So develop a content repurposing plan using the original article as the source.

I need:

1. A LinkedIn visual concept that communicates the main takeaway.
2. An Instagram carousel outline with six slides.
3. A YouTube thumbnail concept with a strong, readable headline.
4. A short promotional video concept lasting approximately 20 to 30 seconds.
5. A consistent visual direction that connects all four assets.

For each asset, specify the headline, key message, visual composition, and intended audience.

Do not simply repeat the article title on every graphic. Find different angles that make each asset useful and interesting on its own.

Keep every factual claim consistent with the original article. Do not invent results or benefits.

With this prompt, I get a practical content plan that matches what I asked for:

Now, the problem is that I don’t have the motivation to create short or long videos to promote my content across LinkedIn, Instagram, and YouTube. I find it too boring, time-consuming, and that’s where I prefer using Fotor Agent.

Step 2: Create short or long videos with Fotor Agent

Now you already know that we can generate videos by writing a prompt.

But you can also generate videos using the “Quick Start” templates provided by Fotor Agent.

To access them, you just need to visit the Fotor Agent website and scroll down a bit, and you will see all the “Quick Start” templates.

Since I’m talking about the best AI tools, I think it would be ideal to go with the “AI Talking Presenter” option.

So, I simply selected the “AI Talking Presenter” option, added my own avatar and a simple sceipt, along with my content about the 6 best AI tools.

Then it asked me to confirm the script, select the voice, and so on. And based on that, here’s what it generated:

And here’s another video output shared by the Fotor Agent team:

Step 3: Build a repeatable system

Note that you don’t have to create all your assets every week. Start with the formats that matter most to your audience and repeat the workflow when it makes sense.

For example, if you’re publishing one newsletter each week, you could create a LinkedIn graphic and an Instagram carousel using your own template, then generate a short video for the most useful or interesting topics using the Quick Start template inside Fotor Agent.

Also, keep a folder of your best-performing designs, brand colours, headlines, and prompts. Reuse them as references so you don’t have to define your visual identity from scratch every time.

And don’t assume every asset will perform equally well. Track clicks, saves, comments, watch time, or whatever metric matters to your goal, and use those results to decide which formats deserve more attention.

In short, build a repeatable system that can help you turn one idea into a week of content in a lot less time.

Let’s Wrap Up

So far, we’ve looked at 3 practical workflows that combine Fotor Agent with other AI tools to create professional videos without making the entire process complicated.

Here’s how I’d use them:

1. Use Fotor Agent when you already have an idea for a promotional video and want to turn it into a finished video using your own prompts and visual assets.
2. Use Perplexity + ChatGPT + Fotor Agent when you want to explain a complicated topic. Research it first, turn the findings into a visual script, and then use Fotor Agent to create the video.
3. Use ChatGPT + Fotor Agent when you have one piece of content and want to turn it into a week’s worth of videos instead of starting from scratch every time.

Notice the difference? The first workflow helps you create promotional videos, the second helps you explain complex topics, and the third helps you repurpose existing content into more videos.

Now, you don’t need to use all three workflows for every video or bring multiple AI tools into the process when there’s no need for them.

Start with one video you want to create, pick the workflow that fits your goal, and try it yourself.

Hope you like it.

That’s it — thanks.

Originally published at https://aimadesimple0.substack.com.

Most of us already use AI when we want to learn something. We ask ChatGPT to explain a concept or upload a PDF to NotebookLM for a quick summary.

But understanding a concept doesn’t always mean we can use it. The harder part is applying what we learn: handling a difficult client conversation, building the tool we need, completing a project, or remembering the idea a week later.

So, in this post, I’m sharing 4 practical AI workflows that help me go from understanding something to actually using it, along with prompts you can copy and adapt.

Note: This post was originally published in my newsletter, AI Made Simple.

And this post contains affiliate links, which means I may earn a small commission if you decide to try a tool, at no extra cost to you. I only recommend tools I’ve personally tested and found genuinely useful. My goal is to help you make the right choice, and I only earn when you get real value.

Let’s get started.

Workflow #1: Learn from a topic or a project using Fenzo and NotebookLM

This workflow is divided into 2 parts:

a) Start with a topic you want to understand

If you want to learn about a subject, you can use Fenzo to generate a course based on any topic I want to learn.

Suppose I want to learn about the digestive process after I eat food then I simply visit Fenzo and create a free account.

Then I write topics like “Explain the digestive process in humans”, and it generates an interactive, personalized, and structured course based on my uploaded files and my learning goals.

Along with that, it even generates quizzes, charts, images, and more to help you understand the topic clearly.

Once the course is ready, you can learn the way that suits you best. Work through the quizzes and interactive examples, review key ideas with flashcards, or ask the AI tutor whenever something doesn’t click.

And if you also like learning by listening, you can add the course link to NotebookLM and generate an audio overview to play while you’re on the go.

Using the same workflow, you can learn about investing, academic subjects, artificial intelligence, and much more.

b) Start with something you want to build

Suppose you want to learn something deeply, like how to automate your specific business task with AI.

What do you do? Go through YouTube videos, and then follow the exact steps, connect a few tools, and somehow it starts working. Or you may use ChatGPT or Claude or Gemini to create a specific project for that, and that works as well.

But another AI workflow you can use is to simply use Fenzo to create a course to learn everything that you need to build an automation.

To give you an example, I wrote this prompt inside Fenzo:

Create a beginner's course that prepares me to build this automation:

A website inquiry is submitted, its details are added to a spreadsheet, and I receive a notification.

I don't have a programming background.

Teach me triggers, actions, field mapping, webhooks, and basic error handling through this exact example.

Include exercises involving a missing email address, the same inquiry arriving twice, and a failed notification.

Help me understand what each step receives, what it produces, and how to tell where a failure happened.

And here’s the course it generated:

Now I have everything from the guided course, along with the images, charts, and quizzes to understand the complete workflow and remember it easily.

And when I want to understand a specific section deeply, I simply tag that section and use the “Explain this” feature.

And then there is a notes section where you can add a note from a specific part of the lesson or write one for the lesson as a whole.

Lastly, dive deeper into a topic or generate a follow-up sub-lesson by simply asking for that.

In the same way, this workflow will help you understand anything faster, and you can even come back to review it with all your notes, docs, and more.

If you get stuck on a concept, ask Fenzo’s AI tutor to explain it differently or walk you through an example. And when you start building the actual automation and something breaks, share the screenshot and error message with ChatGPT or Gemini. Explain what you expected and what actually happened, then ask it to help you investigate one step at a time.

Workflow #2: Practice a difficult conversation before the real person is on the call

You know, I was working as a web developer for a year after I got my BTech degree. And then I completely shifted to writing content, working with clients, and more.

It was actually hard to convince them about a budget hike, say “no” to extra work before the deadline, manage multiple clients, and so on.

But now we have AI tools like Fenzo where you can practice real-world interactions and communication skills with AI personas.

To try it yourself, visit the Fenzo website, and you can see the “AI roleplay” option in the left sidebar after creating your account.

Here, you can select any of the AI role plays based on the specific industry you work in, and then select the option “Start with voice mode” or “Start with text mode”.

And then you can talk directly with the specific AI persona that you have selected:

Before you start the roleplay, it helps to prepare your key points. After you end the session, it will provide detailed feedback based on what you talked about.

In a similar way, you can use Claude, ChatGPT, or Gemini to check your preparation with a prompt like this:

Help me prepare for a client conversation about additional work.

- Original scope: [details]
- New request: [details]
- Deadline: [date]
- Available capacity: [details]

Help me identify a clear boundary, two realistic alternatives, and questions I need to ask before agreeing.

Don't invent prices, contractual terms, or commitments. Keep the preparation to five bullets so I can speak naturally.

Once you’ve prepared, go back to Fenzo’s roleplay and rehearse the conversation. Then use Fenzo’s feedback to spot the mistakes you keep repeating, like:

• Maybe you over-explained.
• Maybe you offered alternatives before clearly stating the constraint.
• Maybe you ended without asking for a decision.

And then practice again.

This will help you practice how to communicate well on a topic before talking with a client, your manager, or your boss. And that’s where you get the confidence to convince them to agree with what you want.

Just so you know:

Everything I’ve shared here is something I actually use.

If this post changed how you think about AI even a little, that didn’t happen in isolation. It came from a much bigger shift in how I use AI overall.

That’s why I put that entire system down inside “The (Unfair) AI Workflow Playbook” with everything you need.

It’s the exact set of workflows I use daily to run my work faster than feels normal, and if you apply even a few of them, you’ll save hundreds of hours.

You can spend months figuring this out on your own, or you can steal my entire playbook right now.

Workflow #3: Build a simple tool that can help in your business

Let’s be honest, there are multiple small, local businesses that don’t have the budget to hire a freelancer but want some simple tools for their business.

Let’s take an example where you are a fruit vendor and you want to maximize your profit with some crazy hacks and bring more sales simultaneously by giving discounts. And that’s where you want a tool to predict how many extra products you must sell to earn the same profit after a discount, the marketing hacks you can implement yourself without being tech-savvy, and more.

Well, that’s where you can build a small tool or simulator where you can change the numbers and test your understanding, see which marketing hack worked, what you can do, and so on.

Here’s the workflow:

1. Upload your relevant document or a specific book into NotebookLM. Ask it to extract the formulas, assumptions, and worked examples based on your business details. You can even ask about the marketing hacks suggested by the author if you upload a specific book, and so on. Check its citations against your material, and clear all your doubts by asking more questions that come to your mind.
2. Copy or upload the explanation into Claude, and ask it to create an interactive simulator or a tool that you can install on your mobile by giving enough context.

Here, I’m going to build a simple, interactive tool to learn about discounts and profits. And here’s the prompt I used inside Claude:

Using the attached lesson, build an interactive learning Artifact about discounts and profit.

Include controls for selling price, cost per item, monthly units sold, and fixed costs. Let me apply a discount and calculate the sales volume needed to preserve the original profit.

Keep sales volume under my control; don't assume discounts automatically increase demand. Flag cases where preserving profit is impossible under the model.

Use only the supplied formulas and show the assumptions. Include the lesson's worked examples so I can check the calculations.

Based on the workflow, here’s what it generated:

This is just a basic example to open your mind, and share with you the workflow to build a specific tool that you can use to help in your business without needing a tech expert or a freelancer.

Workflow #4: Revise the concepts with ChatGPT Study Mode or Gemini’s Guided Learning

Let’s take an example: you spend a good amount of time understanding multiple complicated concepts while studying.

But after a week, you can’t remember a couple of concepts clearly, and want to review them.

Well, that’s where you can use “ChatGPT Study Mode” or “Gemini Guided Learning” which can become your own personal tutor by asking you questions, explaining concepts step-by-step, checking your understanding and more.

I’m going to use the ChatGPT Study Mode, and you can access it by clicking here, and here’s a guide about using Study Mode in ChatGPT.

And now suppose you have finished learning about triggers, actions, field mapping, and webhooks while building a business automation task. And now you want to revise these concepts clearly.

That’s where you can open the ChatGPT Study Mode (upload your own document as well), and use a prompt like this:

Here’s the prompt I used:

I'm learning how simple business automations work. I have attached my notes about triggers, actions, field mapping, webhooks, and error handling.

Start by asking me five questions to find the gaps in my understanding. Ask one question at a time and wait for my answer.

After each answer, tell me what I understood correctly and what I missed. Don't give me the complete explanation until I have tried to answer.

Use practical situations involving missing information, duplicate submissions, and failed notifications.

At the end, give me one small automation problem to solve without your help.

After that, try to answer the questions based on your understanding. And if you get something wrong, ask ChatGPT to explain that specific concept.

This will help you identify the specific parts you don’t understand instead of repeatedly studying the entire topic.

You can use the same workflow for academic subjects, business concepts, software skills, interview preparation, or almost anything you are trying to learn.

Let’s wrap up

Well, all 4 workflows have one thing in common: you are not using AI only to get an answer. You are using it to understand something, practise a real situation, build something useful, or check what you remember.

And you don’t have to try all of them at once.

Pick one workflow based on something you actually want to learn, practise, or build this week. Copy the prompt, change the details based on your situation, and see how it works for you.

And if you try any of these workflows, let me know in the comments which one you used and what you created or learned with it.

That’s it, thanks.

Also, don’t forget to check out “The (Unfair) AI Workflow Playbook” where I shared the exact set of AI workflows I use daily to run my work faster than feels normal.

Let’s be honest, the AI world is evolving faster than everyone thought.

On one side, we are seeing Dario suggesting that AI industry leaders slow down & Sam Altman agreeing to it. And on the other side, we are seeing them moving at a fast pace and introducing newer models like Claude Opus 5.5 & GPT-6 Sol and Luna.

The same fast pace we are seeing in the release of new AI tools. We are seeing insanely good AI tools that can maximize your productivity by getting your work done faster.

And today I’m going to talk about some of the best AI tools that will blow your mind.

Note: This post was originally published in my newsletter, AI Made Simple. It’s basically where I document what actually works for me with AI, in real workflows.

And none of the links in this post are affiliate links, and my only intention with this post is to help you find AI tools that can genuinely improve the way you work.

With that said, let’s get started.

1. Artlist

If you create content using AI tools, you probably know how fragmented the entire process is.

• You have to use one tool to generate an image.
• Another to animate it.
• A separate tool for voiceovers.
• Then you search for background music, sound effects, stock footage, and something you can safely use in a commercial project.

That’s where you can use Artlist, which can generate images, videos, voiceovers, music, and more within the same ecosystem using the best AI models out there.

To try it out, simply visit their website and create your account. After that, you can select the “AI Toolkit” option to generate images, videos, voiceovers, and more by selecting the AI model you prefer, or the “Artlist Studio” option for high-end AI video production.

I went ahead with the “AI Toolkit” option and generated 2 different videos using the Kling 3.0 model.

Here are the prompts I used:

And here are the videos it generated:

The best part I like here is that you can go from an idea to a finished creative project within a single tool using the best AI models out there.

Talking about pricing, you can generate free voiceovers, images, a video, and music up to a limit, after which you’ll need one of its paid AI plans.

2. AI Workspace

Let me be honest, I spend a lot of time using different AI tools, refining prompts to make them ideal for my work on different tasks, and then I save them in ChatGPT, Claude, Gemini, or another tool like Notion.

But the main issue is that after a week, I don’t even remember where I saved a prompt. And I have to spend a lot of time finding that one prompt or start from scratch.

That’s where I started using AI Workspace. It’s a Chrome extension that lets you save prompts, complete conversations, useful snippets, and web context in one reusable library.

And then you can send chats to Gemini Notebook, Notion or Obsidian, even 20 at once.

To get started, install the AI Workspace Chrome extension, and create a few folders based on actual projects that you are working on.

For example, you can name folders like Writing Content, YouTube Scripts, Sponsor Outreach, and Product Launches, and then start adding prompts to specific folders, giving each prompt a name.

You can save chats and snippets to reuse later, or use Relay to carry the current conversation directly into another AI tool. For example, take a discussion from ChatGPT into Claude for a second opinion. Relay fills the destination’s message box so you can review it before sending.

My favourite part: type // in any AI chat to pull up a saved prompt, or /// to bring in a past conversation as context.

The extension is also local-first, so you can start building your library without creating an account.

Its free plan includes unlimited local prompts, templates, and manually saved conversations. While the Lifetime Workspace plan, which costs $59.99, provides 500 AI credits, adds cross-device sync, unlimited exports, and more.

So if you use several AI platforms and constantly repeat the same instructions, this is one of those simple tools that can quietly save you hours every month.

Just so you know:

Everything I’ve shared here is something I actually use.

If this post changed how you think about AI even a little, that didn’t happen in isolation. It came from a much bigger shift in how I use AI overall.

That’s why I put that entire system down inside “The (Unfair) AI Workflow Playbook” with everything you need.

It’s the exact set of workflows I use daily to run my work faster than feels normal, and if you apply even a few of them, you’ll save hundreds of hours.

You can spend months figuring this out on your own, or you can steal my entire playbook right now.

3. Resurf

This one ranked as the #1 product of the day on Product Hunt because there is a need for a tool like this.

But first let me ask you a question: where do you usually save all your notes, links, articles, PDFs, images, screenshots, videos, and more?

Most of you may say, “I use different tools like Notion or WhatsApp, or bookmark the links, and simply save the screenshots and videos to my laptop”.

Well, that’s where you can use a tool called Resurf that lets you save everything from notes, articles, links, PDFs, screenshots, images, audio, videos, code, and other files into one personal context library on your Mac, iPhone or iPad locally and privately.

And then you can search the complete library, ask questions across what you’ve saved, or send selected context to an AI agent using MCP or the command line.

To try it out, simply visit their website, and then download their app for free.

And then you can quickly capture files, links, notes and more using the keyboard shortcut, organize them around projects & tags, do an instant search, and ask questions across the context you saved.

And yes, your data stays on your Mac, and the app works offline with no account needed.

Talking about the pricing, the Mac free tier provides you with 50 captures and 4 Spaces, and then you need to upgrade to one of their paid plans. And also, the iPhone and iPad apps are free and unlimited.

4. Naise AI

You know that we have tons of AI tools that can write social media posts, generate images, find influencers, or create marketing strategies.

And for sure, we can write detailed prompts to generate marketing content, use AI tools to do market research, or use AI image generators to generate on-brand visuals.

But the problem is that we still need to use different tools for each task and manually connect everything.

That’s where you can use Naise AI, an AI teammate that can handle social media, influencer marketing, PR, and market research from a single brief.

To get started, simply visit their website and enter your Instagram profile or your brand website to run a free audit.

It then analyzes your recent content or brand presence, and even your competitors, lets you know what’s working, helps you create content like scripts, content ideas, and images, recommends when to post, monitors your results, and provides suggestions to grow further.

As for pricing, every plan comes with a 3-day free trial. And then its Entry plan costs $29.90 per month (their yearly plan) and includes two campaigns, along with access to its complete suite of marketing agents.

So, if you’re a startup founder, or a small team handling everything manually and have no time, then you can use Naise AI to save time on repetitive work, and manage your marketing work.

5. Hyperfocus

Let’s be honest, we have 100s of task-management apps that help us collect more work. But collecting tasks doesn’t mean you are making insane progress or focusing on your goals.

You feel motivated one day and write down 150 tasks in beautiful categories, and still finish the week without making progress on any important goal.

Yes, I face the same problem every week and regret it when I see too many tasks that I didn’t finish the previous week.

And that’s where I’ve started using a new tool called Hyperfocus, which is a free planner that starts with goals instead of an inbox.

To try it out, simply visit the Hyperfocus website and download the app.

And then you can write down what you actually want to achieve over the next few months. And then connect that goal to a weekly outcome, a daily priority, and finally a focused block of time.

And that’s how you complete the most important task, leaving the not-so-important tasks behind. There is even Hyperfocus AI, which reviews your goals and provides suggestions.

As for pricing, Hyperfocus is completely free to use, with no paid plans.

And if you want to use Hyperfocus AI, it provides a 14-day free trial. After that, you can connect an OpenRouter account and pay the model provider directly.

I have been using the Hyperfocus app without AI, so it’s completely free for me. And I can see that it’s local-first, works offline, and is currently only available for macOS.

Hope you like it.

That’s it — thanks.

Also, don’t forget to check out “The (Unfair) AI Workflow Playbook” where I shared the exact set of AI workflows I use daily to run my work faster than feels normal.

We all know how quickly the world of AI tools has grown, and we have even reached a point where every new tool is labelled as AI.

And thanks to this insane hype, we can see new AI tools being launched as the best AI headshot generators, best AI writing tools, best AI detectors, best AI presentation makers, best AI humanizer tools, best AI image generators, best AI website builders, and so on.

And now, individuals are focused more on automating their daily tasks, building AI agents, and more.

But honestly, I think the biggest problem is not finding AI tools anymore since you can search on Twitter, go through Product Hunt, and more.

The actual problem I can see is finding the ones that can actually solve a problem and save us time daily without making us feel overwhelmed.

Because most AI tools I use look impressive at first, but after trying them, I realise that they are either too complicated, too expensive, or simply not needed for my everyday work.

That’s why I spend a lot of time exploring new AI tools and only share the ones that I genuinely think would be helpful to you.

Note: This post was originally published in my newsletter, AI Made Simple. It’s basically where I document what actually works for me with AI, in real workflows.

Also, the links in this post will take you offsite to the respective AI tool platforms. None of these are affiliate links, and I don’t make a single dollar if you sign up. My goal is purely to share the tools that have genuinely optimized my workflow and can help you save time.

With that said, in this post, I’m going to talk about some of the best new AI tools that are actually worth your time.

1. Coursiv

Let me be honest, we all have started using ChatGPT, Claude, Gemini, and other AI tools almost every day to solve our problems.

But most of us didn’t really learn how to use these AI tools, and so we often don’t get great results because we don’t actually know what to ask, which AI tool to use, or how to turn AI into something useful for our work.

That’s where you can follow some creators who teach AI, like Ruben Hassid, Rowan Cheung, or me. Or learn from platforms like Coursiv, which teaches you how to use some popular AI tools through short guides, daily challenges, and real-world tasks.

To try it out, you just need to visit their website and then click on the “Start now” button, where you will be asked a couple of simple questions, and then you will get your courses.

As you can see, I can learn about different tools like Claude, ChatGPT, Kling, and more, along with a certificate, which is mainly useful for showcasing your skills when applying for a job.

Talking about me, I was going through their Claude course, where they talked about everything from the basics to using Claude for writing, strategic thinking, and using it with other tools, along with all the popular Claude features.

And I can see that they provide courses on different AI use cases as well, like using AI for marketing, accounting, product development, side hustles, personal finance, and more.

So I find it really good for anyone who wants to learn AI in the best and easiest way possible, and so I’m listing it here for everyone.

Talking about the pricing, this is a paid platform, and when I created my account, they were giving me 50% off their 1-week, 4-week, and 12-week plans as you can see below.

2. Dograh

This one got ranked as the #1 product of the day and the #1 product of the week on ProductHunt. Yes, it’s that popular.

But Nitin, what does it do? Well, it’s an open-source platform that lets you build inbound and outbound AI voice agents with its visual editor.

To try it out, visit their website and click on the “Try Now” button to create your account.

And then you can create your AI agent using a visual workflow by choosing your own language model and voice provider, and connect a phone number to start making or receiving calls.

As you can see, you just need to write down the use case and the description to create your AI voice agent.

And so if you run a real-estate business, you can create an AI agent that answers incoming calls, asks about the person’s budget and preferred location, qualifies the lead, and then sends the details to your CRM or team. You can also use it for customer support, appointment bookings, payment reminders, event RSVPs, and much more.

And if you work with sensitive customer information, you can even self-host Dograh on your own infrastructure so your calls, recordings, and transcripts stay within your data environment.

As for pricing, it starts with a 1¢ per-minute platform fee, while the open-source version is free to self-host.

Just so you know:

Everything I’ve shared here is something I actually use.

If this post changed how you think about AI even a little, that didn’t happen in isolation. It came from a much bigger shift in how I use AI overall.

That’s why I put that entire system down inside “The (Unfair) AI Workflow Playbook” with everything you need.

It’s the exact set of workflows I use daily to run my work faster than feels normal, and if you apply even a few of them, you’ll save hundreds of hours.

You can spend months figuring this out on your own, or you can steal my entire playbook right now.

3. Muse

We all save useful links, screenshots, writing ideas, tweets, videos, and random references while working to read later.

But honestly, most of them get lost inside browser bookmarks, Downloads, or folders with names like “Screenshot 2026–08–28”.

That’s where I started using Muse.

It’s an AI-powered visual bookmark manager for Mac that lets you save links, images, videos, screenshots, and notes locally on your device.

For example, if you are researching ideas for a newsletter, website, or YouTube video, you can save everything you find into a collection instead of keeping 20 tabs open. You can drag items into Muse, paste a link, use the browser extension, and more.

To get started, visit their website, download it for Mac, and create one collection for the project you are currently working on. Then you can save every useful reference or link there for a week to see whether it’s really useful for you or not.

I tried it myself for a week, and I can easily find things later just by searching for whatever my brain remembers about a specific link or source.

Yes, instead of remembering the exact file name, you can search for something like “dark landing page ideas” or “AI workflow screenshots,” and it will find what you need.

You can also create boards for different projects, arrange references visually, add notes, export a board as a PDF when you need to share it with someone, or use Muse Shelf, which sits at the edge of your screen, to review, find, or use anything.

Talking about the pricing, it provides a 30-day free trial with every feature, and then it costs $29 as a one-time purchase, after which you can use it forever.

4. Freebuff

You know, we have tons of AI tools like Lovable, Bolt, Replit, and others that can help you generate apps from a single prompt.

But the problem is that when you try building something serious, these AI tools become expensive, and you need to buy a lot of credits.

And that’s where you can start using a free AI tool called Freebuff, which lets you build full-stack web apps just by describing what you want to create.

To get started, you just need to visit their website and then download their app, or use their web, cloud, or any other provided option.

And then you can write something like, “Build a simple booking app for a fitness coach with user login and payment options,” and it will generate the app, show you a live preview, and let you deploy it.

You can then test the app in the live preview, make changes by writing follow-up prompts, and deploy it when you are satisfied.

And here, you can even manage your data and hosting, get API keys, and integrate with 500+ services or products.

It also lets you connect an existing GitHub project, so you can keep improving something you have already built.

The best part is that it is completely free, with no subscription or API keys required.

Note: Keep in mind that Freebuff is ad-supported, so just review its privacy terms before using it for sensitive client projects.

5. Keystroke

Let me be honest, nowadays, most people are interested in AI agents or building automations for their work.

But even there, we have tons of AI tools like Zapier, n8n, Flowise AI, and more.

But recently, a new tool has been released that claims to be the fastest way to build powerful internal agents and AI systems, all in a single platform.

I’m talking about Keystroke, and here you can get 1,000+ integrations with the tools you already use, add memory and context, orchestrate complex work, trigger agents automatically, and more.

To get started, simply visit their website, create a free account, connect the apps you use, and build an agent that checks your inbox every morning, identifies important emails, prepares draft replies, looks at your calendar, and sends you a summary on Slack.

And you can even create workflows where a new lead comes in, the agent researches the company, prepares a short brief, updates your CRM, and notifies your team automatically.

And the best part of these agents is that they have memory, can access files, browse the web, use connected apps, and run on a schedule or whenever a specific event happens.

As for pricing, Keystroke has a free Hobby plan, while if you are going with complex workflows, then you can buy their $20 subscription, where you get $40 of included usage credits along with some more features.

Hope you like it.

That’s it — thanks.

If this resonated with you, share it with someone who needs to read it or repost it, since most people want to learn practically about AI but won’t access posts like this.

And that’s where you can help someone you care about use AI practically and get ahead.

Also, don’t forget to check out “The (Unfair) AI Workflow Playbook” where I shared the exact set of AI workflows I use daily to run my work faster than feels normal.

Let me be honest: every week, tons of new AI tools are launched, but the reality is that most of them don’t actually solve the problems most of us have.

That’s why I spend hours testing 100+ new AI tools before recommending them, because I don’t want to waste your time with something you’ll forget after 5 minutes.

And so in this post, I’m sharing the 5 best AI tools that are genuinely built for real work and solve real problems.

More specifically, I’m sharing AI tools that can help you:

• work with multiple AI models from one place
• generate high-quality videos
• build AI agents with better web data
• automate repetitive work
• improve your SEO without spending hundreds of dollars every month

And I’ll even show you what each tool does, why it’s useful, how to get started, and whether the free plan is worth trying, so you can decide which ones deserve a place in your workflow.

Note: This post was originally published in my newsletter, AI Made Simple. It’s basically where I document what actually works for me with AI, in real workflows.

Also, the links in this post will take you offsite to the respective AI tool platforms. None of these are affiliate links, and I don’t make a single dollar if you sign up. My goal is purely to share the tools that have genuinely optimized my workflow and can help you save time.

With that said, let’s get started.

1. Halomate AI

You know, like most people, I also jump between ChatGPT, Claude, Gemini, Perplexity, and a couple of other AI LLMs depending on the task.

The problem is that every tool has its own chat history, memory, and files, which quickly becomes messy. You re-upload the same docs, re-explain the same project, and by midweek, your work is scattered across five tabs.

That’s where I started using HaloMate. Here, you can switch between models like GPT, Claude, Gemini, DeepSeek, Grok, and others from one place.

To get started, visit the HaloMate website, create an account, and open a Project first. Upload what you’re already working on, then pick a model whenever you need a reply.

The feature that I love to talk about is that you can create a Project for something that lasts longer than a single chat, drop in your outlines, past drafts, notes, or source files once, and keep working inside that same space. Come back later, and the context is still there.

Inside a Project, you can also set up Mates with their own long-term memory and role, so you’re not starting with a blank assistant every time.

And when a take feels thin, ask the same question with a different model using the same Project files and context. You’ll often get a much clearer perspective than arguing with one model forever.

What I liked more than the model list, though, is finishing work in the same loop. When the work needs to leave the chat, I can generate the actual files in the same workspace, decks, docs, and the stuff I’d send to someone else, without exporting a wall of markdown and rebuilding it in another app.

As for pricing, it offers a free plan with 1,000 daily credits, which is enough to test whether the Project workflow fits you. Paid plans start at around $9.90/month if you need more room or heavier daily use.

2. MiniMax H3

We all know that AI video generation has become incredibly good, but most AI video tools still struggle with consistency, and they charge a lot even for generating a single video.

That’s where MiniMax H3 caught my attention. It’s an open-weight, general-purpose model that achieves frontier-level coding capabilities, a million-token context window, and multimodal capabilities like only a handful of closed-source models.

And here, we’re going to use it specifically as a video generation model.

To get started, simply visit the MiniMax website, create your account, and click the “Try Code Now” button.

Then you can write your prompt, use reference images and videos, and let the model generate the final result.

That’s all.

And then it will create high-quality videos in up to 2K resolution with multiple aspect ratios depending on your needs, like this one:

You can further edit existing videos, replace or remove objects, change backgrounds, transfer motion from one clip to another, and even maintain the same character across multiple scenes.

So if you’re creating YouTube videos, advertisements, product demos, or social media content, this can save you a huge amount of creating and editing the video.

Talking about the pricing, I generated 2 to 3 videos for free, and I don’t know how many credits it gave me. But after a certain limit, you need to upgrade, and the pricing plans are shown below.

Just so you know:

Everything I’ve shared here is something I actually use.

If this post changed how you think about AI even a little, that didn’t happen in isolation. It came from a much bigger shift in how I use AI overall.

That’s why I put that entire system down inside “The (Unfair) AI Workflow Playbook” with everything you need.

It’s the exact set of workflows I use daily to run my work faster than feels normal, and if you apply even a few of them, you’ll save hundreds of hours.

You can spend months figuring this out on your own, or you can steal my entire playbook right now.

3. Context.dev

If you’ve ever built an AI agent, you probably know that the biggest challenge isn’t the AI model.

It’s getting reliable, up-to-date information from the web.

And that’s why we end up using multiple tools for web scraping, crawling, screenshots, structured data extraction, and brand information, which makes the entire workflow more complicated than it needs to be.

That’s where you can start using “Context.dev”.

But Nitin, what does it do?

Well, it gives you a single API that can scrape websites, crawl entire domains, convert web pages into clean Markdown, capture screenshots, extract structured data, retrieve logos, colors, fonts, product information, and even generate complete brand profiles.

Also, you can define the exact data you want to extract from a website.

For example, if you’re building a sales assistant, competitor analysis tool, or an AI research agent, you can automatically pull pricing, product details, company information, or documentation into a structured format instead of manually parsing messy HTML.

The best part is that everything is optimized for AI agents and LLM-powered applications.

As for pricing, it offers 500 free credits without requiring a credit card, which is enough to test the platform before upgrading to one of the paid plans.

4. Albato

If you use multiple apps every day, you’ve probably found yourself copying the same information from one tool to another.

A new lead arrives in your CRM, then you manually send a Slack message, update a Google Sheet, create a task in Notion, and maybe even send a follow-up email.

It gets repetitive and tedious very quickly, and that’s where you can use Albato. It’s a no-code automation platform that lets you connect more than 1,000 apps and automate your workflows without writing a single line of code.

To get started, simply visit to their website, create a free account, choose the apps you want to connect, define the trigger and the action, and let Albato handle everything in the background.

The feature that I loved here is its AI Copilot, where you can build complex automation workflows by simply describing what you want in plain English. It’s currently available for free while it’s in beta.

As for pricing, it offers a free plan with 100 monthly transactions and support for up to 2-step automations, which is enough to test the platform.

And if you need more complex workflows, higher transaction limits, faster execution, and additional premium features, you can upgrade to one of the paid plans.

5. OpenSEO

If you’ve ever tried doing SEO, you’ve probably noticed that most SEO tools are incredibly expensive.

And if you’re not a big company or a creator making six figures, paying over $100 every month just for keyword research, rank tracking, backlinks, and site audits isn’t practical.

Well, that’s where you can use OpenSEO.

OpenSEO is built for you and your AI agent. It brings keyword research, competitor analysis, backlink monitoring, rank tracking, technical site audits, and AI search visibility into one modern platform starting at just $10 per month.

To get started, simply create an account, enter your website, and start researching keywords, tracking rankings, auditing pages, or analyzing your AI visibility.

The interface is clean, and you don’t need to spend hours learning how everything works.

With this tool, you can also check whether your brand is being mentioned in AI search engines like ChatGPT and Google AI Overviews, which is becoming increasingly important for SEO today.

You can even connect tools like Claude, ChatGPT, and Codex directly to OpenSEO through MCP, allowing AI to perform keyword research, analyze competitors, inspect Google Search Console data, and generate SEO insights.

This tool has been especially helpful in ranking articles like “Best AI Headshot Generators”, “Best AI Website Builders”, “Best AI Writing Tools”, and many others on Google by guiding me through keyword research, competitor analysis, technical SEO, backlink analysis, and AI search visibility in one place.

As for pricing, OpenSEO offers a free trial with credits to test the platform, while its paid plan starts at just $10/month, making it significantly more affordable than many traditional SEO tools.

Hope you like it.

That’s it — thanks.

If this resonated with you, share it with someone who needs to read it or repost it, since most people want to learn practically about AI but won’t access posts like this.

And that’s where you can help someone you care about use AI practically and get ahead.

Also, don’t forget to check out “The (Unfair) AI Workflow Playbook” where I shared the exact set of AI workflows I use daily to run my work faster than feels normal.