2026 AI tool Stack we use & why!
Seven jobs we do every week, and the two tools we keep for each: the one that does the job without complaint, and the one we actually open first. No affiliate links, no forty row spreadsheet.
Most tool arguments go wrong in the same place. Someone asks which AI is best, as if there is a single winner, and the answer is always a brand name. In practice the same tool can be the one we open first for one job and the one we quietly avoid for another. So we stopped ranking companies and started ranking them per job.
01 / At a glance
The whole stack in one table
The job | We skip | Good enough | Our pick
Generating image and video | Adobe Firefly | Magnific | Higgsfield
Making stills | Nano Banana | Seedream | GPT Image 2
Websites and apps | WordPress | Claude Code | Lovable
Finding what to post | ChatGPT | Claude | Sandcastles
Research | Wikipedia | Gemini | Perplexity
Writing | Grok | ChatGPT | Claude
Coding | The terminal alone | Claude Code | Lovable
The skip column is not a list of bad software. Those tools are aimed at a different job, a different team, or a different budget than ours, and we have nothing useful to add about them beyond that. So the rest of this page covers only the two we kept per job, and why the second one wins.
02 / Generation subscriptions
The subscription that makes images and video
01
Magnific
An upscaler that does not just enlarge an image, it invents plausible detail as it goes: skin texture, fabric weave, foliage. Freepik moved its whole toolset under the Magnific name in April 2026, so the upscaler now sits inside a wider suite.
good enoughNothing turns a soft render into something print sharp faster, but because it invents detail, faces and small type can drift away from the original.
02
Higgsfield
One account that fronts a shelf of video and image models, including Sora, Veo, Kling and Seedance, with preset camera moves you pick from a menu instead of describing in a prompt.
our pickIt replaces four or five separate logins with one, and the camera presets mean a junior can get a usable shot without knowing the vocabulary for it.
Agency insight
On a cost per generation basis, Higgsfield works out cheaper than Magnific for us, and it gives more flexibility and a deeper preset library on top. Magnific earns its place on a different kind of job: bulk generation, and exploring spaces and environments where you want volume rather than one exact frame. Both bill in credits, meaning an internal token that different models consume at different rates, so compare them on what a month actually buys at the model you plan to use, not on the headline price.
03 / Stills
Making images
03
Seedream
ByteDance’s image family. Seedream 5.0 can search the web while it generates, so it pulls in current visual references instead of relying only on what it learned during training.
good enoughThe cheapest sensible option for volume work, and the live reference lookup helps on anything trend led. Fine detail and typography still lag the top of the field.
04
GPT Image 2
OpenAI’s image model, released in April 2026. It appears in ChatGPT as Images 2.0 and in the API as gpt-image-2, and it runs a short reasoning pass before it draws anything.
our pickIt spells. Headlines, price tags, packaging labels and multilingual signage come out readable on the first try, which removes the Photoshop cleanup pass we used to budget for on every asset.
Agency insight
Nearly everything we make here is ad creative with the line baked into the picture, and GPT Image 2 handles words inside an image better than anything else we have tested, so it is the default rather than the occasional choice. Seedream comes out when the brief is straight photorealism, and it is also where we build moodboards and work out a visual direction, because it is fast and cheap enough to explore in.
04 / Shipping
Building websites and apps
05
Claude Code
Anthropic’s coding assistant, which works directly on files in a project you already have rather than in a chat window you copy out of.
good enoughPrecise and fast once a codebase exists. It assumes you already have somewhere to put the site, which is the exact step a non technical client does not have.
06
Lovable
You describe the site or app in plain English and it produces the whole thing: the pages you click through, a database behind them, a login flow, and a live web address, all from the browser.
our pickAn idea in the morning meeting can be a link we send to a client by the afternoon, and the client can click it rather than imagine it.
Agency insight
Claude Code is the better tool if you can read what it writes. Lovable wins on the thing that actually decides projects here: someone with zero technical background can execute in it, and get there faster. One caveat before you cancel anything. Leaving WordPress out of new builds is not the same as tearing out a site that already earns. This blog is published on WordPress, and we have no plans to move it, because a live site with traffic and a team that knows where the buttons are costs more to rebuild than the licence you were hoping to save.
05 / Ideas
Finding what to post
07
Claude
Give it a brand voice document and a few of your own posts, and it will stay inside that voice while it generates ideas.
good enoughThe ideas sound like you, which is more than most tools manage. It still has no idea which of them an audience has already rewarded.
08
Sandcastles
It watches channels you choose across Instagram, TikTok and YouTube and surfaces the outliers, meaning the videos that pulled far more views than that account normally gets. It then breaks down the hook and structure and drafts a script from it.
our pickIt starts from evidence instead of a blank page, so the argument in the room shifts from what we feel like posting to what has already proven it works.
Agency insight
Claude will do this job, but only once you build it a skill, meaning a saved set of instructions it loads for a specific task, or download one somebody has already published on GitHub. Then you can point it at Instagram accounts, have it audit them and pull out what went viral. Sandcastles has all of that plumbing already built in: likes, views, outlier performance and the rest, sorted for you. If you would rather not assemble the workflow yourself, that is the whole argument.
06 / Research
Checking whether something is true
09
Gemini
Google’s assistant, which can search the live web before answering and is already sitting in the browser most of us have open.
good enoughQuick and current, and fine for a single fact. Following its reasoning back to the page it came from takes more clicks than it should.
10
Perplexity
A search tool that writes an answer and footnotes it, with numbered links beside each claim so you can open the source that produced it.
our pickWe have to defend numbers in client decks, and a claim we cannot trace back to a page is a claim we cannot use.
Agency insight
Gemini works, and for a quick answer it is usually right. We have also caught it stating things confidently that turned out to be wrong, which is expensive when the claim is already in a client deck. Perplexity leads with the citation instead of burying it, so checking a number is one click rather than a second search. No tool is a substitute for opening the source, but one of them makes that easy.
07 / Words
Writing the long stuff
11
ChatGPT
The fastest way from an empty document to a rough shape you can react to, which is often all a first draft needs to be.
good enoughClean and quick, with one cost: a default register that readers now recognise, so every draft needs a pass to strip it out.
12
Claude
Hand it a style guide and a long brief, and it holds both to the end. Paragraph forty still obeys the rule you set in paragraph one.
our pickEditing is where the hours go, and a draft that already respects the brief is worth more to us than a draft that arrived faster.
Agency insight
ChatGPT is the stronger creative writer of the two, and if the brief is open and the voice does not matter much, it will get there first. Claude is what we use when the piece has to sound like a specific person, because you can train it on your voice with a skill and it will hold that tone across the whole draft rather than the first two paragraphs.
08 / Code
Getting something built
13
Claude Code
It reads the whole project, changes several files in one go, runs the tests and reports what broke.
good enoughThe right tool for surgery on something that already exists, which is most of a developer’s week and almost none of ours.
14
Lovable
The code it writes is ordinary React and can be synced to GitHub, the standard place developers store and version code, so a real developer can take over later without a rewrite.
our pickMost internal tools we build get used a handful of times and then retired. Lovable matches that shape: cheap to make, easy to hand over, no regret if it dies.
Agency insight
Claude Code is genuinely excellent, and running on Claude Fable 5 we have not found anything that beats it. All of that holds if you can read what it produces and tell it when it is wrong. If you cannot, none of the power helps you, and Lovable is the one that gets a working tool or app out the door.
09 / Watch out
Common mistakes when building an AI tool stack in 2026
- Buying the benchmark winner instead of the job winner. A model can top a leaderboard for photorealism and still be the wrong choice for a poster with six words on it.
- Paying twice for one job. Two subscriptions that both generate video is the most common line item we find when we audit a client’s spending.
- Treating a table like the one above as permanent. These models change every few weeks. Set a reminder to re-run your own comparison each quarter, using your own brief, not ours.
- Shipping the first output. Even the pick in each row gets a human pass. The tool removes the blank page, it does not remove the edit.
- Remixing without adding a view. Rebuilding someone else’s video with your logo on it gets you a copy of their audience’s attention, once. What people come back for is what you think about it.
10 / FAQ
Questions we get asked
What is the best AI tool overall in 2026?
There is no single best one, and any answer that names one tool is selling something. The useful question is narrower: which tool is best for writing, or for images with text in them, or for finding out what your audience already watches. Pick per job and you will end up with four or five tools rather than one.
Why does the same tool appear as both good enough and as your pick?
Because a tool is only ever good at a specific task. Claude is what we write with, and merely fine for generating ideas from scratch. Lovable ships our apps, and Claude Code is better if you are already deep inside an existing codebase. Ranking companies hides that. Ranking jobs shows it.
Why do you not explain the tools in the skip column?
Because we do not use them, so anything we wrote would be a guess dressed up as a verdict. They are in the table for context, not as a warning. Several of them are excellent software that simply suits a different team, and a few of them may well be the right answer for you.
Do I need all of these to start?
No. Start with two: one you write and think with, and one for whichever job eats the most of your week. Add a third only when you can name the specific hour it will save you. Most stacks bloat because tools get added on curiosity rather than on a job.
Is a bundled subscription better than paying for tools separately?
It is better when you genuinely use three or more of the things in the bundle, and worse when you are really only there for one. Add up what you currently pay for the tools the bundle would replace, then check that the bundle’s allowance covers your normal month at the quality you actually publish at. If it only covers a light month, the bundle is a second bill rather than a replacement.
Quick summary · key points
- ✓The whole stack in one table
- ✓The subscription that makes images and video
- ✓Magnific
- ✓Higgsfield
- ✓Making images
- ✓Seedream