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Owned by Duy

The Fuel Lab

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Science-backed sports nutrition for active people. Cut through the BS, fuel your training properly, and perform better. Join now.

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8 contributions to AI Automation Society
Day 1: AIS#7DaysChallenge (Newsletter automation for my soon-to-be-launched Skool fitness nutrition community)
Hey everyone! Here's my submission: https://fuellab.sharpr.cloud/newsletter/issue-001.html Quick intro: I'm a software engineer, Level 3 PT and Level 4 Advanced Sports Nutritionist, HYROX racer, half marathon runner, and getting ready for my first Ironman next year. You also saw my recent winning post on the community a few weeks ago: https://www.skool.com/ai-automation-society/community-wins-recap-apr-25-may-1?p=2b0f460e So when I started looking at what to build for Day 1 of Nate's 7-day challenge, the project that picked itself was tied to the thing I'm actually trying to launch on Skool — a fitness nutrition community for athletes and busy people who train hard. https://www.skool.com/test-community-3892 Why this was the right project to start with Soft launch is close. To get there I needed a landing page, an email list, a video sales letter on that page, the legal pages every site needs, and a way to actually publish weekly content without burning a full day every Wednesday. Nate's Day 1 brief said "build a newsletter automation." I figured I'd kill a flock of birds with one stone — newsletter pipeline, landing page, subscriber capture, VSL, and the legal footer, all in one connected system, all in one session. The stack I'd been wanting to try Claude Design for a while, so the landing page got built there first — pure React + Tailwind, no build step, the hand-drawn-coach aesthetic I'd been carrying around in my head for months. That gave me a real surface to attach the newsletter to. For the video sales letter, I used HeyGen — recorded one solid take, let it handle the avatar lipsync and the cleanup. The footage embedded straight into the landing page hero. Saved a half-day of trying to film myself in a quiet room. For the Privacy and Terms pages — every site needs them, nobody enjoys writing them — I just asked Claude. It produced two real, brand-appropriate pages that hold up. Five minutes from "we need legal pages" to "legal pages are live."
Day 1: AIS#7DaysChallenge (Newsletter automation for my soon-to-be-launched Skool fitness nutrition community)
0 likes • 5h
@Gautam Joshi Hey Gautam, great question! Honestly it came down to using tools I already know well. I built this with Claude Routines for the content generation side and n8n for the send workflow. Those are tools I’m comfortable with and already had running on my VPS. trigger.dev and Claude Managed Agents are both on my radar and something I genuinely want to experiment with, but I haven’t used them yet so I can’t tell you exactly what problem they’d solve here. My gut says they become more relevant at scale or for much longer or more complex tasks (someone please correct me if I'm wrong, although I'm sure n8n could handle it in production with no problem) if I were sending to 1,000+ subscribers, the infrastructure conversation looks very different. But right now this is a small community project, and picking tools I understand meant I could actually ship it and learn from it. Once I start playing with trigger.dev and managed agents I’ll probably do a follow-up post on where they fit in. Appreciate you raising it — it’s a question I’m asking myself too!
0 likes • 4h
Actually I just checked So trigger.dev vs n8n really comes down to 3 things: 1. Code vs visual — trigger.dev is TypeScript-first, lives in your codebase, gets version controlled and tested like normal code. With n8n you wire nodes together. Neither is better, it’s just a workflow preference thing. 2. Long-running durable execution — this is the real differentiator. n8n executions have timeout limits, typically a few minutes. trigger.dev is built specifically for jobs that need to run for hours, sleep mid-execution, wait for something, then resume. You can literally write await wait.for({ hours: 2 }) inside a job and it handles it natively. n8n isn’t designed for that. 3. Retries and resumability — if a trigger.dev job fails halfway through processing 500 emails, it picks up from where it stopped. n8n generally restarts from scratch. So it seems my earlier answer was slightly off — it’s less about subscriber count and more about how complex and long-running your task actually is. For a simple generate-and-send workflow that completes in a couple of minutes, n8n is genuinely the right call. trigger.dev would be overkill here.
Day 2: AIS#7DaysChallenge (Claude Code + Firecrawl: How I scraped my own niche in 10 minutes for $1.06 using Firecrawl MCP)
Day 2 of the 7 day challenge. Claude Code and MCPs are already my daily drivers, so neither of those was new tonight. The new piece was Firecrawl, and to explain why it landed the way it did, I want to walk through the side of my world that has been heavy on scraping since the end of last year. A business I run called CreatorsForge (https://creatorsforge.co). CreatorsForge is a Shadow Operator setup. I find Instagram creators who have built real, engaged audiences but who have no monetisation in place. No products, no offers, no funnel. I partner with them on a revenue share. They keep posting, and behind the scenes I build the entire business under their name. Their brand is the front. My operation is invisible. The AI involvement is different at each price tier. - For low-ticket, Claude generates the digital product itself; the creator advertises it to their followers, who buy on my platform, and the whole thing rides on a 14-day launch strategy my Claude agents put together. - For mid-ticket and high-ticket, the creator records everything themselves. They are the expert in their niche, I am not, and that's the whole point. The videos and the 1:1 coaching live on my platform; my job is the launch strategy and the infrastructure, not the content. None of this works without knowing two things cold. The creator's audience: where they hang out, what they actually want, what language they use. And the creator themselves: how they talk, how they phrase things, the cadence of their voice. Because every digital product Claude generates has to sound like the creator wrote it, not like a generic AI did. For both of those jobs, since early this year, I've leaned on Apify. I use one Apify actor to find the right kind of creator: around 10,000 Instagram followers, strong engagement, comments full of buying intent and no link in bio. Once we're working together, two more actors do the heavy lifting. One pulls every Reel and Post the creator has ever published and extracts the transcript captions, which feed a Claude agent that builds a voice DNA file: vocabulary, cadence, recurring phrases, the way they open and close. The other scrapes the comment threads at scale, and a different Claude agent clusters the pain points and surfaces the audience's actual language. Voice DNA on one side, audience pain language on the other. Both feed the product design and the launch copy, which is how a low-ticket digital product can plausibly read like the creator wrote it themselves.
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Day 2: AIS#7DaysChallenge (Claude Code + Firecrawl: How I scraped my own niche in 10 minutes for $1.06 using Firecrawl MCP)
🚀New Video: Overwhelmed By AI? Just Copy My Tech Stack
If you've been feeling overwhelmed by the constant stream of new AI tools, this video is my full breakdown of the stack I actually use day to day, ranked into a tier list. I cover what's earned a spot as a daily driver, what I've graduated from, and why a lean stack always wins. I also share the mindset shifts and decision framework I use to stay focused so new releases stop pulling me off my path.
1 like • 4d
Literally what I needed! Just wanted to say that I switched from Elevenlabs to Fish Audio as it's much cheaper and the voice clone sounds even more natural than Elevenlabs v3 for TTS
0 likes • 4d
@Ayomide Aderayo-salami yep it did :)
🏆 Community Wins Recap | Apr 25 – May 1
From AI roles and first clients to live receptionist systems and enterprise training deals - this week inside AIS+ showed what happens when builders stop watching and start executing. 🚀 Standout Wins of the Week inside AIS+ 👉 @Griffin Maklansky went from being laid off to landing an AI Workflow Builder role in just 1 month. 👉 @Ahmed Bin Faisal landed another $2,000 USD client — an interior design firm — and broke down exactly what led to the close 👉 @Narsis Amin built a working AI restaurant receptionist handling bookings, availability, and CRM logging end-to-end. 👉 @Josh Holladay closed a $4.5K (+$1K) client with half up front today — and dropped his top 10 lessons from the close 👉 @Dion Wang received his first official testimonial, validating real client impact and around 40 hours/month saved. 🎥 Super Win Spotlight | @Duy Nguyen Duy started as an engineer who was curious about AI — but unsure how to turn that curiosity into something real. After joining AIS+, he went from learning passively to building his own AI-operated business, Sharper Automations. Since then, he has: • Built a 24-agent AI business operating system • Landed 2 local paying clients through word-of-mouth • Created a system that improves itself weekly through feedback loops • Started moving toward his goal of leaving his corporate job His biggest shift? From “Can I really do this?” → to building a real business around AI automation.
🏆 Community Wins Recap | Apr 25 – May 1
1 like • 8d
@Sam Alder I've raced a dozen times ^^
0 likes • 7d
@Sam Alder 😄 best of luck! I started with Hyrox, then half marathons, then now I'm eyeing Ironman 70.3 and full marathons next year
April 7-Day Challenge Graduate Cohort! 🎓
Massive congrats to the first-ever class of 7-Day AIS Challenge graduates! These builders showed up, put in the work, and shipped 7 builds in 7 days, from beginner foundations all the way through advanced territory. April 2026 Graduates: 🎓 Antra Verma 🎓 Darshan Patel 🎓 Grant G. 🎓 Takumi Nozawa Finishing the challenge isn't easy. It means watching the lessons, doing the actual builds, hitting every checkpoint, and submitting a capstone that proves you can put it all together. These four did exactly that. If you've been on the fence about starting the challenge, let this be your sign. 7 days, 7 builds, zero fluff. You can move at your own pace, but the structure is there to take you from day-one beginner to advanced builder by the end. Huge respect to our April grads. Can't wait to see who joins the Graduates wall in May. 🚀 Cheers, Nate #AISChallenge
April 7-Day Challenge Graduate Cohort! 🎓
5 likes • 11d
congrats everyone! I'll give it a try over the coming weeks too!
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Duy Nguyen
3
32points to level up
@duy-nguyen-8446
Engineer-turned HYROX athlete & AI tinkerer. Level 4 Nutrition PT. Eat simple, fuel smarter, stay consistent.

Active 53m ago
Joined Jan 15, 2026
INFJ
Cambridge, UK
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