Tools

Tools, unfiltered

I test the tools for you. I tell you where they shine and where they fall apart, no filter.

33 tools

Claude

AI Agents
Keeper

My favorite AI tool and the one I use most. It codes, writes, researches, builds slides and automates, all in one place, with memory and context across your projects.

Details
Best use cases

Building apps and tools with zero coding background, writing code, creating workflows, research, content and slides, and automating processes.

Perfect for

Business owners and creators who want one powerful tool that does it all. No technical knowledge required to start.

Cons

Hits usage limits on heavy sessions. Without extensions it isn't always connected to real-time data. Unlocking its full power (Projects, Claude Code) takes time.

Bottom line

If you only learn one AI tool, make it this one. On its own it replaces several.

Claude Code

Coding & Building
Keeper

Anthropic’s coding agent, in the terminal and the app. You build real apps with full control of the code and a GitHub flow that feels natural.

Details
Best use cases

Building and migrating real projects, refactoring existing code, and working a whole repo without losing control of what changes.

Perfect for

Anyone who wants to build real software and isn’t scared of the terminal. If you want control and a clean GitHub history, this is your place.

Cons

There’s an onboarding curve if you’ve never touched a terminal. Not for someone who only wants drag-and-drop.

Bottom line

If you’re serious about code and want to be in charge, this is the tool. Visual builders are faster to start, but here you don’t hit a ceiling.

Claude Copilot

Coding & Building
Keeper

Claude built right into your editor and browser as a copilot: it suggests, completes and edits while you work, without switching windows.

Details
Best use cases

Writing and fixing code without leaving your editor, drafting and replying inside your apps, and keeping Claude one click away in your daily flow.

Perfect for

Anyone with an existing workflow who wants Claude's power built right in, without copy-pasting between tabs.

Cons

Its reach depends on the app it plugs into. For building a whole project end to end, a dedicated agent gives you more control.

Bottom line

If you want Claude riding along inside the tools you already use, this is the lowest-friction way in.

Manus

AI Agents
Keeper

An agent that actually operates your computer: it browses the web, clicks around and completes multi-step tasks on its own. It doesn't answer questions, it executes them.

Details
Best use cases

Automating multi-step processes, research workflows, and building deliverables end-to-end while navigating across multiple platforms.

Perfect for

Business owners who want to delegate entire workflows without babysitting them. If you can explain it in plain words, Manus runs it, zero technical knowledge needed.

Cons

It's new and the community is still small. It can be slow and pricey on credits, and on long or ambiguous tasks it drifts, it still needs supervision and clear instructions.

Bottom line

If you're tired of copying and pasting between tools, this is the agent that does the work instead of just talking about it. It's the closest thing to a digital employee that executes, just don't leave it alone with anything critical.

Gemini

AI Agents
Keeper

Google's AI that already lives inside your Gmail, Docs, Calendar and browser. Wherever you see the little sparkle icon, that's Gemini. Zero friction to start.

Details
Best use cases

Summarizing YouTube videos, working inside Google Docs and Gmail, researching with access to massive data, and automating email and calendar without leaving Workspace.

Perfect for

Anyone already on Google Workspace who wants AI without switching platforms. If you use Gmail, Docs or Calendar, Gemini is already there waiting for you. Zero technical knowledge.

Cons

Not as strong for coding or complex multi-step tasks. Outputs can feel generic, and the features are scattered across different products without one unified workspace.

Bottom line

If you already live in Google's ecosystem, it's the lowest-friction way in: you start benefiting from AI without changing a thing in your routine. It earns its spot on integration, not raw power.

Cursor

Coding & Building
Keeper

AI code editing inside a VS Code you already know. Great for moving fast across files you already know.

Details
Best use cases

Editing and completing code on the fly, navigating your own project, and making targeted changes without leaving the editor.

Perfect for

People who already code and want a familiar editor with AI on top. If you live in VS Code, you’ll feel at home from minute one.

Cons

On large repos it loses context and is sometimes confidently wrong. Review everything it touches.

Bottom line

If you want speed inside an editor you already know, Cursor delivers. For building a whole project with full control, a terminal agent gives you more room.

Midjourney

Image Generation
Keeper

The prettiest out-of-the-box aesthetic you'll find. You describe an idea and get art that looks expensive, without being a designer.

Details
Best use cases

Visualizing your business vision, concepts and mood boards, product art, renders, and showing your team where you're headed with a single image.

Perfect for

Creators and leaders who think in images and need to show what's in their head. If you can describe it, it generates it in seconds.

Cons

Text inside the image comes out weak and fine control (poses, layer editing) is mostly absent. You can lose hours iterating.

Bottom line

For pure beauty and art that lands, it's hard to beat. For text inside the image, use Ideogram; for edits and consistent characters, Nano Banana.

Nano Banana

Image Generation
Keeper

Google's Gemini image model that shines at editing and keeping the same character across scenes. You talk to it like a person and it gets the edit.

Details
Best use cases

Editing images by instruction, swapping backgrounds or details without redoing everything, and keeping a character consistent across multiple shots.

Perfect for

Creators who already have an image and want to tweak it, not start from scratch. Ideal if you work with a recurring brand character.

Cons

Text inside the image comes out wrong and fine compositional control is limited. Artifacts show up now and then.

Bottom line

For editing and character consistency, it's among the best today. If you want striking aesthetics from scratch, Midjourney; for text, Ideogram.

Ideogram

Image Generation
Keeper

The best at putting text inside the image: posters, logos and phrases that actually read clean. Where others fail, this one nails it.

Details
Best use cases

Posters and flyers with legible text, logo concepts, covers and any design where the typography has to come out right the first time.

Perfect for

Creators and business owners who need images with words inside and are tired of mangled letters. If typography matters, start here.

Cons

Less photorealistic than Midjourney and with fewer editing controls. Not my first pick for realistic scenes.

Bottom line

For text and typography inside the image, it beats almost everyone. For aesthetics and realism, Midjourney; for edits and consistent characters, Nano Banana.

Higgsfield.ai

Video Generation
Keeper

One of the best platforms for generative video and AI B-roll. It bundles all the major video models into one membership so you test without jumping app to app.

Details
Best use cases

Generating B-roll for your videos, testing multiple video models in one place, and creating marketing content at scale without organizing shoots.

Perfect for

Creators, marketers and media teams who produce video regularly. If you can describe it, it generates it, and you save thousands on production.

Cons

Useless if you don't make video. AI quality is improving but isn't perfect for every case, and it's one more subscription to manage.

Bottom line

The future is generative video, and this is the platform where you test it all without paying for each model separately. If you make video, it pays for itself.

Suno

Music Generation
Keeper

An AI music platform where you create songs from scratch, voice and melody included. You describe the vibe or hand it lyrics and it does the rest.

Details
Best use cases

Creating brand jingles and music, adding personality to your content, background music for videos, and podcast intros and outros.

Perfect for

Creators and brands who want a unique audio identity without hiring a composer. You don't need any musical knowledge to start.

Cons

Let's be honest: it won't fill your bank account. It's more a creative boost than a revenue driver, and sometimes it sounds obviously AI.

Bottom line

It's not a money machine, but no other tool brings your brand to life with its own music the way this one does.

WisprFlow

Voice
Keeper

Voice-to-text that understands what you mean, not just what you say. If you correct yourself mid-sentence, it fixes it and leaves the text clean.

Details
Best use cases

Talking to your AI tools, coding by voice, and creating content faster when you think faster than you type.

Perfect for

People who express themselves better out loud than in writing. Zero technical knowledge: if you can talk, you can use it.

Cons

Wants a quiet environment to perform at its best. It takes practice to “think out loud,” and not every app integrates with it smoothly.

Bottom line

It doesn't compete with your AI tools, it powers them: it's the bridge between your brain and everything you write. You produce two to three times more than typing.

Atlas

Voice
Keeper

Voice AI receptionist that answers the phone, books appointments and qualifies leads while you do the work that gets paid.

Details
Best use cases

Handling inbound calls, scheduling appointments, qualifying leads by phone, and making outbound calls for events.

Perfect for

Local and service businesses (plumbers, dentists, freelancers) that get calls. You load your info and availability, and it handles the rest.

Cons

Only useful if your business gets calls; for online-only it adds nothing. Some callers still prefer a human, and it needs upfront setup.

Bottom line

If you ever missed a call that was a paying client, you already know why this matters. No text-based AI can answer the phone live for you.

Gumloop

Automation
Keeper

Business process automation for people who aren't super technical. You design something once and it runs perfectly every time, in the background.

Details
Best use cases

Automating customer onboarding, sales processes, financial reporting, and any repeatable multi-step task.

Perfect for

Business owners who want to automate without hiring a developer. If you understand your processes and can follow a template, you're ready.

Cons

Initial setup takes time and thought. It's not as flexible as n8n for highly custom flows, and it depends on third-party AI models.

Bottom line

It sits in the sweet spot: easier than n8n, more powerful than drag-and-drop options. It runs while you sleep, with nothing to trigger.

NotebookLM

Knowledge & Notes
Keeper

One of the best tools for learning fast. You load your sources and chat with an AI confined to them, with no hallucinations from the open internet.

Details
Best use cases

Learning new topics fast, creating research-based content, and generating infographics, slides, and even podcasts from your documents.

Perfect for

Curious minds and creators who need to become experts on something fast. Zero technical knowledge: if you can upload a document or paste a link, you can use it.

Cons

It only knows what you give it, so if your sources are incomplete, your outputs will be too. It's not for breaking news and it builds nothing, it only informs.

Bottom line

Plenty of tools summarize documents and help you learn deeply, but the auto-generated podcasts, the call-in feature, and the visual infographics are unique. If you love learning, you'll love this.

Granola.ai

Knowledge & Notes
Keeper

It takes meeting notes and slips into any Zoom call without the awkward bot the other person has to accept. It captures everything said, automatically.

Details
Best use cases

Transcribing meetings with no visible bots, feeding your other AIs with real data from your conversations, and keeping context alive across projects.

Perfect for

Anyone with frequent meetings who wants to capture every detail without the embarrassment of a recording bot. Zero technical knowledge: if you join a Zoom, Granola works in the background.

Cons

It's only useful if you have lots of calls. It doesn't make money on its own, it feeds other tools; without a system to use that data, it just sits there.

Bottom line

Granola is the glue: it captures every conversation and turns your other tools into geniuses by giving them everything you've discussed. It captures, they think and act on it.

Notion AI

Knowledge & Notes
Keeper

One of the best tools to become your AI's long-term memory. Everyone uses it as the storage for the brain of their systems, with connectors and built-in AI.

Details
Best use cases

Storing your AI's long-term memory, managing projects, centralizing business knowledge, and feeding context to your agents.

Perfect for

Organized thinkers and teams who want a central hub for all their knowledge. Low technical knowledge: if you can create pages and tables, you can use it.

Cons

Its built-in AI isn't that impressive: it's more a storage layer than an action layer. If you don't keep it active, it becomes a graveyard of notes.

Bottom line

It doesn't make money directly, but it's the infrastructure that makes everything else smarter. Notion is the library; your AI tools are the genius reading from it. They work best together.

Astro

Dev Stack
Keeper

The framework I built this site with. It ships almost zero JavaScript by default, so your pages fly and SEO comes out clean without a fight.

Details
Best use cases

Fast, content-first sites: portfolios, blogs and landing pages. If your thing is publishing and loading instantly, this is exactly what you need.

Perfect for

Anyone who wants to launch a real site that's fast and ranks well without bloating the browser with code nobody uses. You write content, Astro does the rest.

Cons

When the app is highly interactive (dashboards, complex state), the “islands” model adds friction. Not the best fit for a heavy SPA.

Bottom line

If you're building a content site, start here and don't look back. For something heavily interactive, look elsewhere.

Vercel

Dev Stack
Keeper

Where I deploy my sites in minutes. You connect GitHub, push, and it's live, with a preview URL on every change before you ship it to the public.

Details
Best use cases

Publishing and updating sites without touching servers. The GitHub flow is one of the simplest I've used: every push becomes a URL you can review.

Perfect for

Anyone who wants to focus on building, not configuring infrastructure. If the word “server” scares you, Vercel takes that weight off your shoulders.

Cons

Pricing scales fast with traffic and function limits. It's easy to get locked into its ecosystem and costly to leave later.

Bottom line

To get started and deploy fast, nothing is more comfortable. Just watch the bill once you start to grow.

Supabase

Dev Stack
Keeper

A Postgres database with login and storage ready in minutes. It gives you a real backend without building one from scratch.

Details
Best use cases

Launching a real product: storing data, handling users and files. Perfect when your app needs memory and not just static pages.

Perfect for

Anyone building an app with accounts and data who doesn't want to be a database expert. It hands you the serious pieces without demanding a PhD.

Cons

Row-level security has a learning curve and is easy to get wrong. At scale it needs real tuning, and that takes some craft.

Bottom line

If your app needs to store real data, start here. Just spend time understanding security before you open it to the world.

ChatGPT

AI Agents
Situational

The one that came first and the name everyone knows, the Kleenex of AI. Still decent, but no longer the standout choice for getting business done.

Details
Best use cases

General-purpose Q&A for casual users, basic content drafts, and taking your first steps into AI.

Perfect for

People brand new to AI who want to start with the most familiar name. Zero technical knowledge. Think of it as your training wheels.

Cons

Its memory and tool usage have fallen behind. The interface is cluttered with features that don't perform like dedicated tools, and it's losing ground fast.

Bottom line

If you started here, great, it did its job. But today it's no longer the best option for anyone serious about AI: other tools do the same with more memory and better integrations for the same price.

Grok

AI Agents
Situational

The tool for research when you're about to make big decisions. It gives answers that feel more grounded and less filtered, with real-time access to what's happening on X.

Details
Best use cases

Deep research for big business decisions, trend analysis, strategic planning, and understanding where markets and industries are heading.

Perfect for

Owners, strategists and decision-makers who need to read macro trends before making a move. Zero technical knowledge, if you can ask, you can use it.

Cons

It's being rebuilt from scratch, so it's in transition. It has few integrations, is tied to the X ecosystem, and can't build or execute workflows.

Bottom line

Its real value today is deep research and strategic thinking, especially if spotting social trends in real time weighs on your decisions. If not, other tools cover the research just as well.

Perplexity

AI Agents
Situational

AI-powered search that gives you complete answers with cited sources. It also launched its 'computer' feature, which browses and interacts with the web for you.

Details
Best use cases

Search with cited answers, quick research, getting complete answers with their sources, and competitive research.

Perfect for

Researchers, content creators and business owners who need fast, sourced answers without digging through Google. Zero technical knowledge, if you can type a question, you can use it.

Cons

The search-only version feels redundant if you already use another AI with web access. Its 'computer' feature isn't on par with dedicated agents, and pricing adds up with heavy use.

Bottom line

It's a jack of all trades, master of none: it cites sources well and automates a little, but it's rarely the best at any one thing. Worth it if you want a lightweight, fast search experience with trustworthy sources.

OpenClaw

AI Agents
Situational

An open-source, free AI agent that's the peak of what an agent can do. Incredibly powerful, but it does so many things that it ends up confusing most people.

Details
Best use cases

Building custom AI agents (for technical users), automating complex business workflows, and handling multi-tool integrations with full control.

Perfect for

Developers and teams with engineering resources who want full infrastructure-level control. Requires real knowledge of software, security and infrastructure, not for non-techies without someone to manage it.

Cons

It needs technical knowledge to set up and maintain. It opens major security holes if misconfigured, has no customer support, and most people can't keep an instance running.

Bottom line

If you're technical, it's incredible and the possibilities are endless. If you're not, don't get discouraged: look for managed alternatives that give you the same power with far less complexity.

Codex

Coding & Building
Situational

Generates and refactors code at a good pace, especially for well-scoped, clearly described tasks. It delivers when you ask for something concrete.

Details
Best use cases

Solving well-defined, one-off tasks, generating standalone functions, and refactoring chunks of code you already have clear.

Perfect for

Anyone who needs a quick push on concrete tasks and can describe exactly what they want. Not for starting a project from scratch blind.

Cons

For whole-repo work it feels like less control, and it sometimes invents APIs that don’t exist. Always review before you trust it.

Bottom line

For scoped tasks it performs well. When the project grows and you want real control of the repo, other agents keep you in charge with more confidence.

Base44

Coding & Building
Situational

Validating an idea very fast without writing code. Perfect for getting the first prototype out and seeing it work.

Details
Best use cases

Standing up a prototype in minutes, testing an idea with real users, and showing something that works before investing in building it properly.

Perfect for

Anyone who wants to validate an idea now, without touching code. If you just need to see whether the thing makes sense, this saves you weeks.

Cons

Becomes the ceiling when a project needs to grow. Little code control and hard to version properly.

Bottom line

Use it to validate and start, not to live in it. Once the idea works, move the project to an agent with real code control.

Lovable

Coding & Building
Situational

The no-code app builder that kicked off the whole conversation. It gives you a guided, simple experience to put something together fast.

Details
Best use cases

Prototyping fast with zero coding, building a landing page or a simple app, and showing a working idea without touching code.

Perfect for

Beginners who want a very guided experience to build their first app. If you’re just starting, it holds your hand.

Cons

Today almost every major platform does the same thing inside its own product, so it’s one more subscription for something you already have elsewhere.

Bottom line

It’s still a friendly entry point for non-technical folks. But if you’re going to learn one tool, one that builds apps with more context and control gives you a lot more.

OpenArt.ai

Image Generation
Situational

An aggregator that gathers many image models and workflows in one place, with templates and a community so you can start without getting lost.

Details
Best use cases

Trying several models without paying for separate subscriptions, comparing styles fast, and learning image workflows by copying what already works.

Perfect for

Anyone exploring who doesn't yet know which model fits. If you want to test the waters before committing to one tool, this is where you do it.

Cons

The interface overwhelms, quality depends on the model you pick, and credits drain fast. Less precise control than dedicated tools.

Bottom line

Great for exploring and learning, but once you know what you need, a dedicated tool like Midjourney, Ideogram or Nano Banana gives you more control.

n8n

Automation
Situational

Open-source automation platform with full back-end control. You can self-host it and don't pay per task, so it scales cheap.

Details
Best use cases

Complex back-end automations, high volume without per-task pricing, and custom integrations across many platforms.

Perfect for

Developers and technical teams who want full control and no per-task pricing limits. If you have someone who builds systems, hand it to them.

Cons

It's overkill for most business owners. It needs developer-level skill to set up and maintain, and if something breaks you debug it yourself.

Bottom line

If you're technical, the ceiling is unlimited. If you're not, Gumloop gives you almost the same with far less headache.

Figma

Design
Situational

The industry standard for UI/UX design and prototyping, now with AI to suggest layouts and speed things up. Powerful for teams that need pixel-perfect mockups.

Details
Best use cases

Complex design systems for large teams, detailed UI/UX work, and real-time collaboration across multiple people.

Perfect for

Professional designers and teams working on complex products with multiple stakeholders. You need design knowledge to get value from it.

Cons

It's overkill for a quick edit and huge files get slow. The curve is steep if you're not a designer, and handoff to code still needs translation.

Bottom line

If you're a business owner who just wants something that works, today you can build the real site instead of drawing a picture of it. Figma shines for big design teams; for everyone else, it's been left behind.

Kittl

Design
Situational

AI design tool for print, merch, logos and vectors. You reach something presentable without ever opening Illustrator or knowing design.

Details
Best use cases

Creating logos, designs for shirts and products, print graphics, and quick vectors from templates and AI.

Perfect for

Entrepreneurs and creators who sell merch or need graphic pieces without hiring a designer or learning complex software.

Cons

It's not a full vector editor and results can look “template-y.” Watch the export and credit limits.

Bottom line

For print, merch and logos it more than does the job and saves you hours. If you need detailed professional vector control, it'll fall short.

Gamma

Presentations
Situational

You paste your raw data and it hands back a polished deck in minutes. One of the best for cranking out slides fast without overthinking it.

Details
Best use cases

Turning notes or research into visual presentations, prepping keynotes, building training material and client decks without losing hours.

Perfect for

Speakers, consultants, and anyone who presents often and hates wrestling with PowerPoint. Zero technical knowledge: paste your notes and go.

Cons

It's one more subscription for a single function. Customization is limited and it doesn't connect to the rest of your business data.

Bottom line

If you need slides now and don't want to think about it, Gamma delivers. But if you want presentations that pull in your full business context, an all-in-one tool gives you more with fewer subscriptions.

Jasper / Copy.ai

Writing
Situational

They were the writing stars early in the AI wave. Today they're legacy tools: they do one thing that general-purpose models now do as well or better.

Details
Best use cases

Template-based marketing copy and content for teams already locked into the platform. Nearly everything else is already covered by a general model.

Perfect for

If you already use it and it works for your team, fine. But if you're choosing today, there's no reason to start here. Zero technical knowledge either way.

Cons

You pay a separate subscription just to write, when a general tool gives you that plus everything else. The price doesn't match what you get.

Bottom line

They're from an earlier era of AI. Today a general-purpose tool writes with more context and nuance, and on top of that builds, researches, and automates. If you're still paying for writing alone, it's time to consolidate.