You need to stop apologizing for your ADHD. About 6.0% of US adults, 15.5 million people, currently have an ADHD diagnosis, and most of them have spent a lifetime hearing that idea overload, chaos tolerance, hyperfocus, pattern recognition, and a high tolerance for failure are the problem.
In the age of AI, those five traits are exactly what gets rewarded. The one gap left was always execution, turning the idea into the finished thing.
So here is my actual AI stack, not a hypothetical one, organized the way an ADHD brain actually needs it: capture the idea before it evaporates, shape it, research it, build it, and ship it.
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Capture: Wispr Flow
The idea is gone in about four seconds if you have to stop and type it. Wispr Flow turns speech into clean, formatted text inside any app on my computer, and it adapts the output to context automatically, a Slack message comes out casual, an email comes out polished, neither needs editing after. This is the tool that catches the idea before your brain has already moved on to the next one.
Shape: Stanley
A raw idea is not an angle. Stanley is what I use to turn a vague "I should post about this" feeling into an actual angle worth publishing, which is the exact step ADHD brains tend to skip on the way from idea to a graveyard of half-drafts.
Research: Perplexity
Chaos tolerance is a gift until you are five tabs deep and cannot find your way back to the original question. Perplexity's Deep Research pulls from hundreds of sources and generates the actual deliverable, a slide deck, a spreadsheet, a dashboard, instead of a summary I still have to reformat myself. Model Council runs the same question through GPT, Claude, and Grok at once, so I am never stuck relying on one model's blind spot.
Write: Claude
Pattern recognition gets you the connections. It does not get the words on the page in a voice that sounds like you for ten pages straight. Claude holds a consistent voice across long documents, whether I am drafting a newsletter, a script, or a book chapter, and Claude Code and Cowork extend it past writing into managing files and running multi-step tasks end to end, the actual execution part.
Images: ChatGPT
Hyperfocus moves faster than a design queue can keep up with. ChatGPT Images 2.0 finally renders text inside images correctly, menus, diagrams, packaging, which used to be the one thing every AI image tool got wrong, and it holds the same character or product consistent across up to 8 images in a single batch.
Video: Higgsfield
Higgsfield puts more than 15 leading video models, including Sora 2, Veo 3.1, and Kling 3, behind one subscription, so there is no switching between five different apps mid-hyperfocus to find the right look. Its camera control and physics-aware motion are built for real branded content, not tech demos.
Design: Canva
For carousel content specifically, nothing touches Canva. It is not the flashiest tool in this stack, but it is the one I would be most stuck without if I had to cut it tomorrow, the fastest way to turn a pattern-recognition idea into something a stranger can scroll past and actually understand.
Infographics: Gamma
When a pattern in your head needs to become a chart or a system somebody else can follow in five seconds, Gamma is what builds the high-fidelity infographic. Of everything in this stack, this is the one my audience responds to the most.
Build: Cursor
Chaos tolerance means you can operate without a stable system. It does not mean you want to write every line of code yourself. Cursor's Agent mode takes a plain instruction like "add user authentication" and writes the code, runs it, and fixes its own errors without me touching the terminal. Background Agents keep working on a task while I move on to something else, which is the difference between a smart autocomplete and an actual second engineer.
Keep working: Grok Bot
Hyperfocus only turns into output once the admin disappears. Grok Bot gives each agent its own persistent cloud computer with a browser, filesystem, and terminal, so it keeps working through multi-step jobs after I close my laptop. It signs into the tools I already use with my own credentials to handle work like CRM updates, invoice processing, and outbound campaigns, and multiple Bots can coordinate with each other in the same group chat.
Organize: Notion
Somewhere all of this has to live or the chaos wins. Notion AI keeps my content calendar, my emails, and the weekly sends to hundreds of thousands of followers and 100K+ subscribers organized in one place. It is where an idea funnels through from first draft to published, and it quietly replaced three separate subscriptions I used to pay for on top of it.
Ship: Beehiiv
None of the above counts until it actually goes out. Beehiiv is what gets this newsletter into almost 100,000 inboxes every week, and it is the backbone of the whole operation. Idea generation is not worth much without a reliable send sitting behind it.
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Paperwork: Adobe
And the boring part still has to happen. Adobe Sign and Acrobat handle contracts and signatures instead of paying for DocuSign on top of everything else. The tools were already sitting in the stack, I just was not using them for this until I looked.
That is the full stack, capture to shipped, thirteen tools, one operation. As somebody with ADHD who will likely raise a neurodivergent kid, I am not scared of this shift, I am genuinely excited about it. If you want more of how I think about building in the age of AI, follow me on LinkedIn, Instagram, and TikTok so you do not miss what is coming next.
Hit reply and tell me: which of these are you already running, and which one are you adding first? I read every response.
Jenny
P.S. If you want a weekly version of this specifically focused on AI, my other newsletter, The Women AI Weekly, is built exactly for that.
