🎧 Prefer to listen?
I run two blogs, a YouTube channel, social media accounts, and a full content pipeline — research, writing, images, audio narration, publishing. My total cost: $60 a month. No team. No office. No code. Just AI tools wired together in a way that most people don’t realize is possible yet. Here’s the exact stack and what each tool actually does.
The problem I was solving
Content creation is expensive. A freelance writer charges $200-500 per article. A designer charges $50-150 per image. A video editor charges $200+ per video. If you’re publishing 3-5 pieces of content per week across multiple platforms, you’re looking at $3,000-5,000 a month minimum with a human team.
I needed to publish high-quality, SEO-optimized content daily across two different blogs — each with a different audience, different voice, and different visual style. One blog covers AI tools and automation for beginners. The other covers health and wellness research for women over 35. Completely different domains, same content engine powering both.
The $60/month stack
Here’s every tool I use and what it costs:
ElevenLabs — $5/month (Starter plan) This handles all audio narration. Every blog post gets an MP3 version — readers can listen instead of read. I generate the audio from the blog post text, clean it up, and attach it to the post. The voices sound human enough that most listeners don’t realize it’s AI. Voice cloning is getting scary good — but for blog narration, the default voices work fine.
HeyGen — $24/month (Creator plan) This creates the talking-head videos. I use a consistent avatar (Rachel) across all video content. Feed it a script, get a 9:16 video with lip sync. This powers my YouTube Shorts, Instagram Reels, and any content that needs a face on camera. The quality isn’t Hollywood — but for social media, it’s indistinguishable from a real person talking to their phone.
ChatGPT Plus — $20/month The research assistant. I use it for keyword research, content outlines, competitor analysis, and drafting. I don’t publish raw ChatGPT output — that’s how you end up with generic content nobody reads. But as a starting point for research and structure, it saves 2-3 hours per article.
Cursor — $0 (free tier) This is the secret weapon. Cursor is an AI code editor that lets non-developers build and manage websites without writing code. I use it to manage my Hugo blog, fix deployment issues, and automate workflows. The free tier is generous enough for content management. If you need more, the Pro plan is $20/month — still cheaper than a developer.
GitHub — $0 (free) Hosts all my code and blog content. Free for public repos. Every blog post is a markdown file in a GitHub repo. Every deploy is automatic via Vercel. This setup replaced a WordPress site that was costing me $50/month in hosting alone.
Vercel — $0 (Hobby plan) Deploys both blogs automatically when I push to GitHub. Free for personal projects. Handles SSL, CDN, and global distribution. The blogs load in under 1 second worldwide.
MuAPI — $5/month Generates the cover images. Feed it a description, get a custom illustration. No stock photos, no Canva subscriptions, no design skills needed. Every blog post gets a unique, on-brand cover image.
Brave Search API — $0 (free tier) Powers my web research. Better than scraping Google, and the free tier gives enough queries for daily content research.
Total: ~$54-60/month depending on usage.
How the pipeline actually works
Here’s what happens when I decide to write a blog post:
Step 1: Research (10 minutes) I search for trending topics in my niche using a content scanner that pulls from RSS feeds, competitor blogs, and PubMed (for the health blog). The scanner flags high-relevance topics with keyword data. I pick one.
Step 2: Write (20-30 minutes) ChatGPT helps me outline the post based on competitor analysis. I write the actual content — adding my voice, my experience, my angle. The AI handles structure; I handle substance. AI tool overwhelm is real — but when you wire the right tools together, it’s a pipeline, not a pile.
Step 3: Image + Audio (5 minutes) The cover image generates via MuAPI. The audio narration generates via ElevenLabs. Both happen in parallel while I’m editing the post.
Step 4: Publish (2 minutes) I push to GitHub. Vercel auto-deploys. The post is live. I update Notion (my content calendar) with the URL and status.
Step 5: Social (5 minutes) A short talking-head video generates via HeyGen for Instagram and YouTube Shorts. The script is pulled from the blog post automatically.
Total time per post: 40-50 minutes. That includes research, writing, image generation, audio narration, publishing, and social content. A human team would take 4-6 hours for the same output.
What I automated vs what I didn’t
I automated the mechanical parts:
- Research aggregation
- Image generation
- Audio narration
- Deployment
- Social video creation
I did NOT automate:
- The actual writing (AI drafts, I edit heavily)
- Strategy (what to write about and why)
- Voice and angle (this is what makes content worth reading)
- Quality control (every post gets reviewed before publish)
This is the part most people get wrong. They try to automate everything, including the thinking. The result is generic content that reads like every other AI blog. The tools are assistants, not replacements. The human provides the direction. The AI provides the speed.
The cost comparison
| Approach | Monthly Cost | Output |
|---|---|---|
| Human team (writer + designer + VA) | $3,000-5,000 | 8-12 posts/month |
| My AI stack | $60 | 20-30 posts/month |
| Solo human (no tools) | $0 but 40+ hours/week | 4-8 posts/month |
The math isn’t even close. And the quality? The posts rank. They get traffic. They convert readers into subscribers. That’s the only metric that matters.
What you need to get started
You don’t need my exact stack. You need the principle: wire tools together so each one does what it’s best at. ChatGPT for research and structure. A writing tool for the actual content. An image tool for visuals. A deployment platform that auto-publishes.
Start with one blog. One topic. One post per week. Use the free tiers of everything. Get the pipeline working before you spend a dollar. Build your first automation and scale from there.
The expensive part was never the tools. It was the time. These tools give you the time back.
The bottom line
$60/month buys you a content engine that would have cost $5,000/month five years ago. The tools are real, they’re accessible, and they work. The gap isn’t technical skill — it’s knowing how to wire them together. That’s what No Code Required is here for. Start with one workflow. Build from there. The content engine is waiting.