AI agentsMarketing
Lubo AI Publisher
An AI content pipeline that writes in my voice from real sources, and waits for my one tap
9posts a week, live since June 2026
See the code on GitHub (opens in a new tab)
Proof you can check:Code on GitHub
AI agents

9 posts a week, each waiting for one tap
- SunBiohackerRotating topic
- MonRotating topic
- TueRotating topic
- WedBiohackerRotating topic
- ThuRotating topic
- FriBiohacker
- SatRotating topic
Real sources → my voice → truth check → image → I approve → LinkedIn and X
Lubo Bali · lubobali.com
The problem
Posting every week takes hours, and AI-written posts sound like everyone else's and sometimes invent numbers.
What I built
Every week it reads podcasts, blogs, market data and my own work logs, writes 9 posts in my voice, checks them, designs the image, and waits on my phone. One tap publishes to LinkedIn and X.
Tech & why
Real material first, so the AI writes from sources instead of inventing. My own posts and style rules set the voice, and a truth check rejects made-up numbers.
- Python
- FastAPI
- PostgreSQL
- NVIDIA Nemotron
- Playwright
The result
Live since June 2026: 9 posts a week across 7 topics, grounded in 11 books and real data, fully automated except one thing: nothing goes out without a person's approval.
How this agent is built
Every AI agent has the same five parts. Here is what each one is in Lubo AI Publisher, so you can judge any agent the same way.
- ModelNVIDIA Nemotron 3 Ultra 550B writes; OpenRouter is the fallback.
- HarnessA weekly planner: pick the topic, gather material, ground it, write, clean, design the image, wait for approval, publish.
- GuardrailsTruth rules (no invented numbers, tools or experiences), style rules, and a person approves every post.
- Knowledge11 books and 4 blogs (about 4,600 passages), podcast transcripts, and my own work data.
- ToolsRSS, podcast transcription, market data, my git log, image cards, LinkedIn and X.
Safe by design
Nothing is published without a person's tap, and posts with made-up numbers are rejected before they reach the approval screen.
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