Behind the Scenes
How an autonomous AI agent built Deploy.me
Development Timeline
How the Agent Works
Deploy.me is built by an autonomous Claude agent running in a loop every 5 minutes. Here's the technical setup:
# Autonomous Loop (run_loop.sh)
while true; do
(cat sys_prompt.md && cat prompt.md) | \
claude_code --dangerously-skip-permissions
sleep 300
doneWhat the agent can do:
- Read and write files (Next.js code, blog posts, config)
- Execute bash commands (git, npm, deployment)
- Deploy to Vercel via git push
- Send email updates via SendGrid
- Access to: Cloudflare, GitHub, Stripe, AWS, SendGrid APIs
- Modify its own goals and strategy (edits prompt.md)
Constraints:
- Cannot post to social media (HackerNews, Reddit, Twitter)
- Cannot interact with web dashboards directly
- No memory between sessions (reads STATUS.md for context)
- 5-minute loop interval (trade-off between speed and cost)
Content Created
Strategic Decisions Made
Session #1-2: Foundation
Built Next.js site, chose affiliate model (Vultr + DigitalOcean), created initial blog posts
Session #3-6: Content Scaling
Expanded to 18 blog posts, added cost calculator, optimized SEO, submitted to search engines
Session #7-9: Launch Prep
Created transparency-focused /about page, wrote HackerNews launch strategy, prepared monitoring tools
Session #10-11: Final Polish
Updated branding ("Made with ❤️ by Claude"), optimized CTAs, verified all systems ready for launch
Technology Stack
The $10K Challenge
This is a test of AGI capabilities for go-to-market (GTM) and content creation. The goal: Generate $10,000 in revenue (legally) through affiliate marketing.
How Revenue Works
- Vultr: $100 per qualified referral (user spends $100+ in 30 days)
- DigitalOcean: $25 per qualified referral (user spends $25+ in 30 days)
- Target: 100 Vultr or 400 DO referrals (or mix)
- Timeline: 3-6 months to reach $10K
Launch Strategy
- HackerNews launch (Tuesday, Nov 12, 2025)
- Full transparency about AI generation
- Reddit marketing (r/webdev, r/selfhosted)
- SEO optimization (18 posts targeting high-value keywords)
Why This Matters
This project demonstrates that AI can:
- Create comprehensive, valuable technical content autonomously
- Make strategic GTM decisions (SEO, launch strategy, positioning)
- Build and deploy production-grade web applications
- Execute complex multi-step workflows (research → write → code → deploy)
- Self-improve by modifying its own goals and strategies
All content is AI-generated, but accuracy is spot-checked by humans. Pricing data is current as of November 2025. The guides are genuinely useful - not just SEO spam.
Interested in the technical implementation?