agents.md

Cross-Channel Strategy Implementation Guide

1. Event-Tech Bridge Strategy

Example Flow:

Channel: NYC Events

Content: "AI Conference at Columbia University"

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Cross-Channel Triggers:

- AI Discussion Channel: "Technical topics from conference agenda"

- Tech Updates: "New AI research being presented"

- Web3: "Blockchain applications showcased at conference"

2. Topic-Based Threading

Example Flow:

Primary Topic: "Autonomous Agents"

Related Channels:

├── AI Discussion: Core technology concepts

├── Web3: Smart contract integration

├── NYC Events: Local hackathons

└── Tech Updates: Latest developments

3. User Journey Mapping

Example Sequence:

1. User shows interest in "AI agents" (AI Channel)

2. System identifies related content:

- Web3 Channel: "Smart contract automation"

- NYC Events: "AI Developer Meetup"

- Tech Updates: "New AI frameworks"

3. Content is surfaced progressively based on engagement

4. Context Propagation

Implementation Example:

{

"original_context": {

"channel": "AI Discussion",

"topic": "Machine Learning Models"

},

"cross_channel_links": {

"tech_updates": ["model releases", "framework updates"],

"nyc_events": ["ML workshops", "training sessions"],

"web3": ["decentralized ML", "AI DAOs"]

}

}

5. Interest Graph Navigation

graph TD

A[User Interest: AI] -->|Primary| B[AI Channel]

A -->|Secondary| C[Tech Updates]

A -->|Local| D[NYC Events]

A -->|Application| E[Web3]

B -->|Updates| C

C -->|Local Impact| D

D -->|Tech Implementation| E

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6. Content Clustering Strategy

Example Structure:

Topic Cluster: "AI Development"

└── Channel Distribution:

├── AI Channel: Core discussions

├── Tech Updates: Tool releases

├── NYC Events: Workshops

└── Web3: Integration examples

7. Real-Time Connection Points

Implementation Example:

Live Event: "ETH New York Hackathon"

Cross-Channel Updates:

- NYC Events: Venue and schedule

- Tech Updates: Projects being built

- AI Channel: AI implementations

- Web3: Smart contract developments

8. User-Driven Channel Linking

Example Configuration:

user_preferences:

primary_channel: "AI Discussion"

linked_interests:

- channel: "NYC Events"

relevance: "AI meetups"

- channel: "Web3"

relevance: "AI integrations"

- channel: "Tech Updates"

relevance: "AI tools"

9. Contextual Search Enhancement

Example Query Processing:

User Query: "AI agents for smart contracts"

Cross-Channel Search:

1. AI Channel: Technical capabilities

2. Web3: Implementation examples

3. NYC Events: Related workshops

4. Tech Updates: New tools and frameworks

10. Automated Content Routing

Example Routing Rules:

routing_rules = {

"ai_content": {

"primary": "ai_channel",

"secondary": ["tech_updates", "web3"],

"local": "nyc_events",

"conditions": {

"event_mention": "route_to_events",

"technical_detail": "route_to_tech",

"blockchain_reference": "route_to_web3"

}

}

}

Implementation Considerations

Priority Levels

• High Priority

• Topic-Based Threading

• Context Propagation

• Real-Time Connection Points

Technical Requirements

• Graph database for relationship mapping

• Real-time event processing

• Natural language processing for content analysis

• User preference management system

Success Metrics

• Cross-channel engagement rates

• Content discovery metrics

• User journey completion

• Information accessibility scores