What if AI agents could argue with each other?
Most AI tools are single prompt, single response. You ask, it answers, you move on. MAX is different.
Four specialist agents with distinct expertise enter a structured 3-round debate about financial risk scenarios. One proposes. Three challenge in parallel. The first rebuts. What comes out is sharper than any single agent could produce.
The finance domain is just the sandbox. The real point is the orchestration pattern: peer-to-peer agent debate as a protocol. Agents don't just answer prompts. They challenge each other's reasoning, find blind spots, and build on disagreements.
Each agent has its own "soul" (system prompt), memory file, and inbox. They communicate through a file-based message routing system. The orchestrator manages the debate lifecycle, tracks risk scores across 6 domains, and archives results for future reference.
Automating on a platform that fights back.
Xiaohongshu (Little Red Book) is one of the most aggressive anti-scraping platforms in the world. Real-time behavioral analysis. Device fingerprinting. Typing pattern detection. Most automation gets caught in minutes.
This tool bridges two platforms: Qian Gua (a third-party analytics platform) for influencer discovery, and Xiaohongshu for outreach. Find targets on one, contact them on the other, while staying under the radar.
The challenge isn't writing the code. It's thinking like a human. How fast does a real person type? How long do they pause between actions? Do they scroll before clicking, or click immediately? Every behavior pattern is a signal, and XHS is watching all of them.
Three pivots. One viral launch. Zero ad spend.
Started as a body journaling app. Track your injuries, log your recovery. Nobody cared.
Pivoted to BJJ-specific body journaling. Closer. People in the Brazilian Jiu-Jitsu community got the problem. But they didn't want to journal. They wanted to roll.
The community kept asking the same question: "Where can I find open mats near me?" No good answer existed. So the app pivoted again. Became an open mat finder.
Posted on Reddit. It went viral. 60+ gyms submitted their open mat info within weeks. All organic, all free, all because the product finally matched what people actually wanted.
GTM operator turned builder. These are the side experiments. The case studies live on the main portfolio.