💡 When Miro meets ChatGPT: a Visual AI Workspace that built a Custom Meal Tracker in less than 2 hours

Visual thinking meets LLMs in a tool that reshapes how we create: Cove.ai

🍽️ The Meal Tracker That Built Itself

At first, I wasn’t trying to build anything.
And yet, one hour later, there it was: a functional, responsive, logic-aware meal tracker. Not some pre-built standard thing, not a spreadsheet.
A tool that actually fit.

But this isn’t a post about meal tracking.
Or at least, not only that.

This is a story about what happens when an AI tool doesn’t just answer your questions but lets you build something from the way you think. Something visual, modular, logic-aware. Something yours.

In my case, it started with food.

I opened Cove.ai on a whim. No blueprint, no plan. Just a vague idea floating in the back of my mind: maybe try this tool to test a new diet tracker, see if the space felt any different.
(Because if I have to be honest, no workout app or meal tracker has ever stuck with me for more than a few weeks.)

It wasn’t about tracking grams of protein, measuring olive oil by the teaspoon, bargaining with protein bars just to hit a number, regardless of how healthy they actually are.

But I wanted to try to find a system that was different than the pre-made ones. Something that can turn health into a game I actually want to play, with my rules.

That’s what made this new visual tool feel so different. Cove let me follow a hunch, chase a feeling, and build something small that opened a bigger door - without coding, of course.

This feeling that I could shape a system around how I think, not just what I need, is the part I can’t unsee.
Because when the building feels this natural, you start to wonder:
What else could I make?

🧰 So, what is Cove.ai, and how does it actually work?

Think of it as a visual workspace. Part canvas board, part thinking companion. Imagine an ideal fusion between Miro and ChatGPT.

You start with this screen, and as soon as you describe your topic, Cove opens a space filled with cards you can move around.

And you don’t just ask questions. You build with it. Every note, table, PDF, or screenshot becomes a card you can edit, connect, and evolve.

Ask something to the chat in the corner of your board, and the answer shows up as a new card. Then you tweak it. Link it. Let it grow in context, not in isolation.
Through the chat, you can also feed it documents, create logic flows, or ask it to turn what’s already on the board into something new.

Under the hood, Cove doesn’t rely on just one model. Depending on the task, it might call on OpenAI’s GPT series for generative reasoning, Claude for structured summarization, LLaMA for nuanced dialogue, or even Perplexity for web-enhanced queries. This multi-model approach means Cove can match the right brain to the right job, fast when it needs to be, deep when it matters most.

And here’s where it gets interesting: once the board has enough context, you can turn it into a fully functional app. A custom calculator. A dynamic quiz. A visual tracker that adjusts itself as your inputs change.
No code. No learning curve. Just logic, mapped visually.

And if you’re a visual learner and a visual thinker like me, this was the AI we were waiting for.

A Tracker That Reflects Me, Not Just My Macros

So, this is the app I ended up with. A clean, modular interface that scores what you eat based on how nourishing it is.

On the left, the rules I decided to play by. Fresh, fiber-rich, low glycemic: it gets points. Ultra-processed or sugar-laced: it takes some away. Each workout earns extra calories and a boost to your score. I choose my own personalized macros targets. Even fiber gets rewarded, because yes, that spinach actually counts for more than just a few calories.

The real magic is that I wrote the logic myself. Every formula. Every dropdown. Every visual stat. I chose what matters. I decided how to measure it. I built the score I wanted to chase.

And because it lives inside Cove.ai, every part of it (the food table, the workout multiplier, the health score graph) stays right there on my canvas. Ready to tweak. Ready to expand. Ready to be torn apart the next time I change my mind.

No rigid structure. No locked fields. Just my own logic, mapped out. And if tomorrow I decide that a calligraphy session earns me 100 points, I can add it in.

And by connecting the cards, you can also get personalized suggestions for your next meals, based on the macros and fibers you’ve already had during the day. Not just tracking, but responding.

🛠️ Is it perfect? Not even close.

Let’s be clear: I won’t pretend it took five minutes or landed flawless on the first try. It took almost a couple of hours of prompting to get to this simple result. And it’s still not exactly how I want it. Mostly because, at some point, I got tired of tweaking.

Hello, Cove icon stuck forever inside a card.
Hello, “unexpected server error” when all I asked was to translate something into English.
I gave up. The app is still partially in Italian, my native language. Eh, pazienza.

And when the logic gets slightly too complex, your mini app might ghost you. No crash. No feedback. Just silence.

There’s a Discord space with a few user templates, but it’s mostly quiet. If you need real help, there’s no chat support. Only an email address waiting somewhere in the background.

What I do like, though, is the credit system. You spend credits only when creating new cards. You can even copy someone else’s workspace without using any. That makes experimentation feel generous instead of punishing.

And here’s a little pro tip from experience: when something’s not working, ask the AI why. Literally.

I typed: “I added some foods but they were added to yesterday’s list too. Why is that?”
It replied:
“The app is saving and showing all the foods entered so far, not just those for the current day. To solve this and display only today’s foods, we need to update the app to handle data based on date. If you want, I can update the app to implement this functionality.”

Yes. The AI explained how to fix the bug I created. And offered to help. That still blows my mind a little.

🧪 Other Experiments and Ideas

My meal tracker was just one use case. But that’s the beauty of Cove.ai: the same tool shapeshifts to match the mind that’s using it. What starts as a food log can just as easily become a sales pipeline, a ten-year roadmap, or a one-day workshop. No new tool. Just new context.

Here’s what others are building:

🏋️ Build Your Fitness Program
Wyndo’s the reason I even discovered Cove in the first place. In one of his posts, he walks through how he built a complete visual gym program. Personalized workouts, nutrition guides, even a dynamic progress tracker. All without code, and in less time than it takes to find your gym shoes. (You can read the original article here.)

🧠 Content Repurposing on Autopilot
Feed it a 45-minute webinar and watch it become a summary, a draft newsletter, SEO keywords, punchy quotes with timestamps, and five LinkedIn posts. One upload. Multiple formats. All coherent, all connected (some ideas here).

📊 Lead Generation Without Spreadsheets
Set up a research flow to surface AI startups that raised over $5M. The AI pulls company names, scrapes headlines, drops in LinkedIn links, and structures everything into a table (some ideas here).

📊 AI Workflows for Marketers
From campaign timelines to post-event emails, Cove can help build modular workflows that stay in sync as your strategy evolves. While some users have explored segmentation dashboards and pricing tools, others are experimenting with outreach flows that personalize emails based on attendee lists.

🎯 Feedback That Thinks Back
Drop in your NPS scores, survey data, or raw customer feedback. Ask: What do people love? What frustrates them most? Cove clusters themes, highlights patterns, and surfaces insights right on the board. You’re not just staring at data. You’re working with it.

🚢 Long-Term Planning? No Problem
One user drafted a ten-year plan to build an aircraft carrier. Yes, really. The system generated an outline, a high-level budget, a risk management summary, and a communication strategy. All in under an hour. What would’ve taken weeks became a sketch you can scale.

🏛️ Strategic Workshops for Governments
A city team designed a planning retreat focused on economic development. Cove suggested venues, built agendas, and tailored icebreakers for cross-department collaboration. When they added more context, the AI reshaped the day. Fast. Collaborative. Responsive.

🎥 Course Planning Without the Mess
Another user structured a 60-minute course on B2B video. They set constraints, mapped the session flow, and included integrations like Zapier and batch processing. One canvas. Zero chaos.

🗂️ More in the Gallery
And if you’re curious to see more, Cove has a public gallery of templates. It’s still a bit empty for now, but you’ll already find things like a “date night idea generator” that mixes inspiration with surprise.

🔄 What’s next?

This way of thinking, visual, modular, elastic, it’s a perspective shift. And honestly, I love working like this.
Next step? I’ll try to recreate the same tracker in other AI tools. See if they handle complex systems better or respond more gracefully under pressure.
Do you know any?
Drop them in the comments. Or better yet, show me what you’ve built.
Would love to see if any of this nudged you into making something of your own.

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✍️I’m a B2B marketer exploring how AI is reshaping creativity, strategy, and the way we work. This newsletter is where I experiment out loud. Subscribe to follow along as I test, learn, and share what actually works.