I'm 17 & I built an "Agentic AI" to kill the 15-minute Shopify listing grind

17 and already thinking in agentic workflows — respect.

One suggestion: "15-second task" is the real hook, lead with that even harder. The $0.99 early access is smart urgency but 47/100 spots — consider showing a live counter on the landing page, converts better.

Answered your question: most manual task AI hasn't solved well yet? Cloud cost anomaly detection that understands context — not just thresholds. Still mostly manual for me.

the 10-20 min copy-paste tax is one of those small repetitive bottlenecks that's perfect agent-bait. one ask: what's your retry/recovery story when a listing fails halfway through? that's where these agents earn their keep at boutique scale. 17 and shipping > a lot of us at 30+, keep going.

the 10-20 min copy-paste tax is one of those small repetitive bottlenecks that's perfect agent-bait. one ask: what's your retry/recovery story when a listing fails halfway through? that's where these agents earn their keep at boutique scale. 17 and shipping > a lot of us at 30+, keep going.

Great idea! Best of luck!

Crazy

This is actually really impressive, especially at 17 👀
How did you build the AI part – did you use existing APIs or train something yourself?

17 is crazy.

But success will depend less on “agentic AI” and more on reliability, edge-case handling, and seamless Shopify workflow integration.

Love the 'multi-cycle' approach you mentioned. Cleaning the data first, then feeding it back in for generation is exactly how you handle the messy edge cases that trip up single-pass agents. That retry logic is where the real value lies for high-frequency listers. How are you handling the context window limits if a supplier sheet has hundreds of SKUs?

Good stuff man, love to see a fellow 17 year old like me trying to achieve.

Cool idea! What's been your biggest challenge getting

the first users?

This is a sharp problem to tackle — messy supplier data is exactly where most “AI listing tools” fall apart.

How stable is Filleo when the input formats vary wildly between vendors?

curious what the agent's instruction set looks like once you're handling 100+ product types. the reusable instructions - 'what counts as a good listing' - are where these break down. everyone's thinking about the AI model, nobody's thinking about the instruction set.

Respect for building and shipping this early.

One thing I’m curious about — was the idea driven more by a real workflow problem you faced, or by exploring what’s possible with AI agents?

I’ve noticed a lot of AI tools struggle not with capability, but with fitting into actual user workflows. How are you thinking about that part?

This is a solid problem to go after — that “10–20 min per product” grind is real.

What I find interesting is that even when tools exist, people still stick to manual workflows because of trust and edge cases in the data.

Curious — how accurate is it right now with messy inputs? Like, do users still need to heavily review/edit before publishing?

Hey, same here — I actually built an AI tool myself when I was 18. It’s a highly personalized outbound email tool that consistently lands in the primary inbox. I’m offering a free trial right now, so if you’re interested, just let me know and I’ll unlock it for you with no time limit.

The "high-frequency listers" focus is smart. Trying to serve every Shopify merchant is a trap — the person adding 50 products/week feels this pain 10x more than someone adding 2/month.

One thing I'd watch: the $0.99 early bird might get you waitlist signups but could anchor your price so low that upgrading to $7.99+ feels like a 8x jump. Have you thought about offering the first 3 listings free instead? That way people experience the value without you training them to expect $0.99 forever.

Re: "would I buy it" — I'm not a Shopify seller, but I built something similar for launch marketing (turning raw product info into press pages + social copy). The pattern is the same: people will pay to skip repetitive formatting work. The 30s demo sells it better than any copy could.

What's your conversion rate from waitlist signup to actually trying the demo?

This is a really strong problem to go after—anyone who’s touched Shopify knows how painful listing products can get at scale.

I’m curious about one thing though: how well does it handle inconsistent supplier data? Like when different vendors format things completely differently or leave gaps—does your AI standardize that reliably or does it still need manual cleanup?

Also, the $0.99 early access is smart for traction, but I wonder if positioning it around “time saved per 100 listings” might convert even better—because the value here feels very ROI-driven.

I’m working on something in AI for fashion visuals, and messy input data has been one of the hardest parts—so this definitely resonates.

"Really interesting approach. The manual listing problem is real — I've seen it firsthand with small Shopify stores. Curious how you're handling the edge cases where supplier data is completely unstructured, like handwritten notes or weird Excel formats. Also validating my own idea right now (client vetting tool for freelancers) so I know how valuable early feedback is — good luck with the waitlist!"

best of luck!

Goodluck!

Great job. This is the realistic approach.

Great job at 17ysd. My concern is why shpify did not enable this feature. What’s the moat here? Maybe customers are not that happy with ai features or the products updating frequency is not that high?

I saw how Filleo cuts the Shopify listing grind down to 15 seconds—that's a brilliant niche to tackle at 17. Since you're in the pre-launch phase with growing traction, would you be interested in discussing how to scale the distribution of your product to reach even more high-frequency merchants?