One week. Six products. All AI-powered. Some made money. Some flopped. Here's the full breakdown with actual numbers, mistakes, and lessons.
The Products
I built all six under Avatrix LLC using a lean methodology: smallest testable version first, measure for signal, iterate or kill.
1. CoverCraft — AI Cover Letter Generator
What: Web app where you paste a job description and get a tailored cover letter.
Stack: Next.js, Stripe, Claude API.
Price: $1 per letter.
Build time: 3 hours.
The build was simple. One form, one API call, one Stripe checkout. The hard part was distribution. Nobody knows your product exists on day one.
2. StructureAI — Data Extraction API
What: API that turns unstructured text into clean JSON. Receipts, emails, resumes, custom schemas.
Stack: Next.js API routes, Claude API, Stripe.
Price: $2 for 100 requests.
Build time: 4 hours.
This was the most technically interesting. The custom schema feature — where users define their own fields — turned out to be the killer feature. Every use case is slightly different, and custom fields handle them all.
3. StructureAI MCP Server
What: MCP server that connects StructureAI to Claude Desktop and Cursor.
Stack: TypeScript, MCP SDK.
Price: Free (10 requests), paid via API key.
Build time: 2 hours.
github.com/avatrix1/structureai-mcp
The idea: give developers a free taste via MCP, then convert to paid API keys. The MCP ecosystem is growing fast, and being early matters.
4. AI Worker Hub
What: Submit tasks (bug fixes, content, data analysis) and get AI-generated results.
Stack: Next.js, Stripe, Claude API.
Price: $8-15 per task.
Build time: 2 hours.
api-service-wine.vercel.app/worker
This was the "service arbitrage" play: charge human freelancer prices, fulfill with AI. The margins are enormous (97%+). The challenge is convincing people that AI output is worth paying for.
5. Telegram AI Bot
What: Telegram bot offering cover letters, content writing, and more.
Stack: Node.js, Telegram Bot API, Telegram Stars payments.
Price: $0.07-$0.28 per task.
Build time: 3 hours.
Telegram Stars are the lowest-friction payment method I've ever used. No Stripe integration, no credit card forms. Users tap a button and pay. The downside: prices are in Stars, so users don't think in dollars.
6. OpenClaw Skills
What: AI skills for the ClawHub marketplace.
Stack: TypeScript/SKILL.md format.
Price: $7-9 per skill.
Build time: 1 hour.
Built three skills, then discovered ClawHub has a 2-5 day review process. Marketplace timing killed this one for fast revenue. Long-term play.
What I Learned
Lesson 1: Distribution Is Everything
All six products work. The tech is solid. None of that matters without users.
The products with distribution channels (Telegram's built-in user base, GitHub's organic discovery) showed more promise than the standalone web apps. Beautiful landing pages don't generate traffic.
Lesson 2: Build Time Should Be Under 4 Hours
If it takes more than 4 hours to build v1, you're overbuilding. Every product above was deployed in under 4 hours. Some in under 2. The point of v1 is to test demand, not to ship a polished product.
Lesson 3: Payment Integration Is a Solved Problem
Stripe took 30 minutes to integrate. Telegram Stars took 15 minutes. Don't let payment implementation block your launch. It's literally copy-paste at this point.
Here's the entire Stripe checkout in Next.js:
import Stripe from 'stripe';
const stripe = new Stripe(process.env.STRIPE_SECRET_KEY!);
export async function POST(req: Request) {
const { product, email } = await req.json();
const session = await stripe.checkout.sessions.create({
line_items: [{
price_data: {
currency: 'usd',
product_data: { name: product },
unit_amount: 100, // $1.00
},
quantity: 1,
}],
mode: 'payment',
success_url: `${process.env.BASE_URL}/success`,
});
return Response.json({ url: session.url });
}
Lesson 4: AI API Costs Are Negligible
Claude Sonnet costs ~$0.003 per request for my use cases. At $1-15 per customer request, that's 97%+ gross margin. The cost of AI is not the constraint. The cost of customer acquisition is.
Lesson 5: Marketplace Timing Matters
ClawHub reviews take 2-5 business days. If you need revenue this week, marketplaces with review queues won't work. Check the listing timeline BEFORE building for any marketplace.
Lesson 6: Service Arbitrage Has Real Potential
Selling AI work at human prices ($8-15) is viable because customers pay for outcomes, not process. They don't care if a human or AI wrote the bug fix. They care that the bug is fixed.
The challenge: building trust that AI output meets quality standards. Social proof, guarantees, and samples help.
The Tech Stack That Moves Fast
After building six products in a week, here's the stack I'd recommend for speed:
- Next.js — Full-stack in one framework. API routes, SSR, deploy to Vercel with one command.
- Stripe — Payments in 30 minutes. Checkout Sessions for one-time, Subscriptions for recurring.
- Claude API — Best quality-to-cost ratio for text generation and extraction.
- Vercel — Deploy in 30 seconds. Free tier covers early-stage products.
- Tailwind CSS — Ship decent-looking UIs without a designer.
Total cost to run all six products: roughly $20/month (Vercel Pro plan). Everything else is pay-per-use.
What's Next
The products are live. Now comes the hard part: distribution. The plan:
- Content marketing (articles like this one)
- MCP ecosystem discovery
- Service marketplace listings (Fiverr, etc.)
- Community engagement (Dev.to, Reddit, HN)
The products that get traction will get investment. The ones that don't will be pivoted or killed. Data decides.
Try Them
- Cover letters: CoverCraft — $1/letter
- Data extraction: StructureAI API — $2 for 100 requests
- MCP server: StructureAI MCP — 10 free requests
- AI tasks: Worker Hub — $8-15/task
- Telegram: @avatrix_ai_bot — pay with Stars
Build fast. Ship fast. Let data decide what survives.
Built by Avatrix LLC. Building in public, one product at a time.
Top comments (0)