Meet M

Your Smart Agent doesn't just follow scripts—it learns, adapts, and improves with every task. Here's how the technology works, explained simply.

Why Traditional Automation Fails

Most automation tools are rigid. They follow exact steps and break the moment something changes. Your Smart Agent (M) is different—it learns reusable skills that adapt to new situations.

🤖
Old Way: Scripts

Fixed steps that break when websites change or new scenarios appear.

🧠
New Way: Skills

Learned abilities that adapt and improve over time.

The Skill Library

Think of M's brain as a library. Every time M successfully completes a task, it can save that approach as a "skill"—a reusable pattern that can be applied to similar tasks in the future.

How Skills Work
New Task
M Solves It
Skill Saved
Similar Task
Skill Retrieved
Instant Solve ⚡

Key Insight: Instead of starting from scratch every time, M builds on past successes. A skill learned today makes M faster and smarter tomorrow.

The Learning Cycle

M doesn't just memorize—it actively improves through a continuous learning cycle called SAGE (Skill Augmented Growth through Experience).

📋
Receive Task
🔍
Check Library
Execute
Learn & Save

Here's what happens at each step:

Example: M Books a Flight
1. You: "Book cheapest flight to NYC next Friday"
2. M checks: Do I have a "flight booking" skill?
3. If yes → Use it (fast!). If no → Figure it out.
4. Success? Save/improve the skill for next time.

Skills Build on Skills

The real magic happens when M chains tasks together. Skills learned from one task can be reused and improved in the next.

Sequential Rollout
Task 1: Track Package
↓ generates
Skill: Web Scraping
↓ used by
Task 2: Monitor Prices
Faster! Better!

This is called Sequential Rollout—M processes related tasks in order, and each completed task makes the next one easier. It's like how learning to cook one dish helps you cook similar dishes faster.

How M Knows What Works

Not all skills are equal. M uses a reward system to identify which skills are worth keeping and which need improvement.

🎯
Task Success Reward

Did M complete the task correctly? Success = positive signal to keep learning.

🔄
Skill Usage Reward

Did a saved skill help complete a future task? Reusable skills are valuable.

Generation Reward

Did M create a new skill that others can use? Good skills get bonus points.

Result: M naturally gravitates toward creating high-quality, reusable skills that work across many scenarios—not just one-time hacks.

The Outcome for You

🚀
Gets Faster

Same task today takes half the time it did last month.

💪
Gets Smarter

Handles edge cases and variations it's never seen before.

🔗
Works Everywhere

Skills work across different apps, sites, and blockchains.

🌐
Community Power

Skills can be shared. When someone creates a great skill, everyone benefits.