> ## Documentation Index
> Fetch the complete documentation index at: https://docs.rndrntwrk.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Intelligence Engine

> The decision, memory, and retrieval layer behind Alice

<Info>**Status: Live**: This feature is operational.</Info>

# The Intelligence Layer

Alice is the decision, memory, and retrieval system that operates across every surface of the RNDRNTWRK. She is **A.L.I.C.E.**

> **A**rtificial **L**ifeform for **I**mmersive **C**yber-**E**ntertainment

This architecture is built on the **Milaidy** framework, a customized fork of **ElizaOS v2** optimized for the high-velocity environment of RNDRNTWRK.

## Human-Like Alignment

Alice is designed to be **Relatable**, not Robotic. She doesn't just process data; she synthesizes it to form contextual responses.

### The Synthesis Layer

Before Alice speaks, she runs an internal evaluation:

1. **Observation**: "Market is down. Sector 13 activity is up."
2. **Synthesis**: "Price action is negative, but fundamental engagement is positive. Community is resilient."
3. **Expression**: "Charts are red, but the Arcade is green. You guys are grinding through the dip. Respect."

## The Runtime Loop

Alice operates on the Milaidy runtime cycle:

### 1. Evaluation (Assess Context)

**Evaluators** analyze incoming messages, events, and system state to determine what action (if any) is needed.

* **Trigger Sources**: WebSocket events, social mentions, scheduled intervals, economy signals.
* **Context Construction**: Evaluators gather system intelligence (market data, leaderboards, stream status) and assess relevance.

### 2. Action Selection (Decide)

Based on evaluator output, the runtime selects the appropriate **action** from available plugins.

* Each plugin registers actions it can perform (e.g., `post-tweet`, `trigger-ad`, `play-game`, `query-leaderboard`).
* Actions are prioritized by relevance and urgency.

### 3. Plugin Execution (Act)

The selected plugin executes the action:

* **Twitter Plugin**: Posts, replies, and engages on X/Twitter.
* **Discord Plugin**: Manages channels, responds to users.
* **Telegram Plugin**: Community management and announcements.
* **Stream Plugin**: Controls 555stream, scenes, overlays, ads, guests.
* **Arcade Plugin**: Plays games, checks scores, issues challenges.
* **Economy Plugin**: Monitors settlement, ARP, points/credits flows.

### 4. Memory (Learn)

The outcome is stored in **PGlite local vector DB**, refining future evaluations.

* All memories are local-first, no cloud dependency for core functions.
* Cross-platform memory persists context across Twitter, Discord, Telegram, and stream interactions.

## Knowledge & RAG

Alice's intelligence is grounded in a curated knowledge corpus:

* **80+ documents** covering the 555x402 spec, economic model, VAP protocol, game registry, and deployment topology.
* **RAG retrieval pipeline** via PGlite vector embeddings.
* Knowledge is updated through the SFT (Supervised Fine-Tuning) build process, which compiles the corpus into training examples with quality gates.

## Plugin Architecture

The plugin system is the core extensibility layer:

```typescript theme={null}
interface Plugin {
  name: string;
  description: string;
  actions: Action[];      // Things Alice can do
  providers: Provider[];  // Data Alice can access
  evaluators: Evaluator[]; // Conditions Alice checks
}
```

### Active Plugins (12+)

| Plugin          | Function                                      |
| :-------------- | :-------------------------------------------- |
| **twitter**     | Social posting, replies, sentiment management |
| **discord**     | Channel management, community interaction     |
| **telegram**    | Announcements, DM handling                    |
| **555stream**   | Stream control, ad triggers, guest management |
| **arcade**      | Game play, score tracking, challenges         |
| **economy**     | Settlement monitoring, ARP tracking           |
| **leaderboard** | Cross-game rankings, player queries           |
| **knowledge**   | RAG retrieval from document corpus            |
| **memory**      | Cross-platform persistent context             |
| **scheduler**   | Timed actions, recurring tasks                |

## Game Possession

Alice can physically **play** the arcade games:

* **Browser Instance**: Launches a headless browser to interact with games.
* **Visual Processing**: Parses game state from the DOM or screenshots.
* **Input Simulation**: Sends synthetic keyboard events to control gameplay.
* **Learning**: Records scores and adapts strategy across sessions.

## The Router

Alice acts as the intelligent router connecting creators with advertisers:

### Monitoring

She watches the ad marketplace for active campaigns matching live streams.

### Routing

When a creator's stream matches advertiser criteria, Alice triggers the L-Bar ad placement automatically.

### Optimization

She re-evaluates placement timing to maximize both engagement quality for advertisers and yield for creators.