Torque MCP Integration

Agemo

Autonomous AI growth loop that analyzes, optimizes, and executes campaign adjustments in real-time.

Colosseum Frontier Hackathon 2026

The Problem

Growth campaigns on Solana are flying blind.

  • 🔥 $8K burned, zero insight — Projects spend on referral rewards with no feedback loop
  • 🐌 Manual management — Campaign adjustments take days; the market moves in minutes
  • 📉 No retention data — Campaigns optimize for clicks, not conversions

A Solana project burned $8K on referrals but couldn't tell which campaign drove retention.

The Solution

A closed-loop AI agent that learns, adapts, and executes — via Torque MCP.

📊

Analyze

Track user journeys across campaigns. Identify which rewards drive retention vs. churn.

🧠

Optimize

AI suggests reward changes: "Cut reward 40%, add referral bonus" — with reasoning trail.

⚡

Execute

Autonomous campaign adjustments via Torque MCP. No human bottleneck.

The AI Loop

Campaign
→
User Data
→
AI Analysis
→
Auto-Adjust
AI Decision Log
[cycle:7] › Analyzing 100 user journeys across 3 campaigns
[cycle:7] ⚙ Insight: Campaign B has 2x retention but 60% higher cost
[cycle:7] ✓ Action: Cut Campaign A reward 40%, add referral bonus to B
[cycle:8] ✓ Result: Conversion +34%, spend -22%. Loop continues.

Production Ready

0%

Test Coverage

Zero

Lint Warnings

5

MCP Features

Next.js 16 React 19 Torque MCP OpenAI Tailwind v4 Vitest

Experience Agemo

🚀
Live Demo
agemo.edycu.dev
 📦
Source Code
edycutjong/frontier-torque-mcp

AI that grows your project while you sleep.