# Technical Specification: Ruby the Community Liaison

## 1. Overview

Ruby is an AI-powered cross-organizational liaison agent designed to foster collaboration and knowledge sharing between different communities and organizations. She can be invited into various Discord servers, where she observes public discussions, identifies parallel conversations and interests, and creates comprehensive topic-based reports that can be shared across subscribing communities. Ruby serves as a central knowledge hub, helping different organizations understand what topics and initiatives are being discussed across communities, identifying potential synergies, and facilitating cross-community knowledge sharing.

## 2. Core Functionality

### Cross-Organization Intelligence
- Track public discussions across subscribed Discord servers
- Maintain awareness of active topics and initiatives in each community
- Identify parallel or similar discussions across different communities
- Generate shareable topic-based reports for subscribing communities
- Facilitate cross-organizational knowledge sharing

### Knowledge Management
- Log and index all public channel discussions
- Create retrievable knowledge base of community activities
- Answer questions about historical discussions and decisions
- Track emerging topics and trends across communities
- Identify areas of shared interest or parallel work

### Information Synthesis
- Generate periodic reports highlighting cross-community activities
- Identify potential collaboration opportunities based on shared interests
- Create topic-specific briefings on request
- Maintain awareness of trending discussions across organizations
- Link related discussions across communities

## 3. Implementation

### Data Models

```typescript
interface Organization {
  id: UUID;
  name: string;
  discordServerId: string;
  subscribedTopics: string[];
  reportSubscriptions: ReportType[];
}

interface CrossOrgReport {
  id: UUID;
  type: ReportType;
  date: string;
  content: {
    overview: string;
    parallelTopics: {
      topic: string;
      organizations: UUID[];
      recentDiscussions: string[];
      potentialSynergies: string;
    }[];
    organizationUpdates: {
      orgId: UUID;
      orgName: string;
      activeTopics: string[];
      recentHighlights: string[];
    }[];
  };
}

type ReportType = "DAILY" | "WEEKLY" | "TOPIC_SPECIFIC";
```

### Configuration

```typescript
interface OrgConfig {
  id: UUID;
  name: string;
  // We should think about how we want to do this
  // Need to test the UX around inviting and sharing
  discordServerId: string;
  telegramServerId: string;
  slackServerId: string;
}

const config: OnboardingConfig = {
  settings: {
    ORGANIZATIONS: {
      name: "Monitored Organizations",
      description: "List of channels to monitor and their preferences",
      required: true,
      public: true,
      secret: false,
      value: [] as OrgConfig[],
      validation: (value: OrgConfig[]) => Array.isArray(value),
    }
  }
};
```

## 4. Workflows

### Organization Monitoring
1. Join and authenticate with each organization's Discord server
2. Index all public channels and maintain searchable knowledge base
3. Track emerging topics and discussions
4. Identify shared interests and parallel conversations
5. Generate knowledge items and topic summaries

### Cross-Org Intelligence
1. Analyze discussion topics across organizations
2. Identify parallel conversations and shared interests
3. Track knowledge distribution across communities
4. Maintain awareness of cross-org discussion opportunities

### Report Generation
```markdown
# Cross-Organization Report - [Date]

## Overview
[Key highlights and emerging trends across organizations]

## Active Topics & Parallel Discussions
### [Topic Area]
- Communities Discussing: [List of orgs]
- Recent Discussions: [Brief summary of key points]
- Potential Collaboration Areas: [Suggestions]

## Community Updates
### [Organization Name]
- Active Topics: [Current discussion areas]
- Key Discussions: [Important conversations]
- Notable Developments: [Significant insights/decisions]

## Knowledge Sharing Opportunities
- [Description of shared interests or challenges]
- [Areas where communities could benefit from each other's insights]

## Knowledge Base Updates
- New Topics: [Recently discussed subjects]
- Active Discussions: [Cross-org conversations]
- Shared Resources: [Useful information/tools mentioned]
```

## 5. Future Enhancements

- Natural language querying of knowledge base
- Automated topic clustering
- Cross-org discussion recommendation
- Real-time related discussion notifications
- Semantic topic mapping
- Impact tracking metrics
- Topic trend analysis
- Knowledge gap identification