Data Flow and Processing
Input → Processing → Output
Input Collection:
Twitter mentions and relevant discussions are captured
On-chain data is continuously monitored
Crypto news feeds are analyzed for significant events
Data Processing:
The Agent Core evaluates incoming data for relevance and priority
High-priority items are routed to the MCP Server for analysis
The Deep-Seek R1 model performs reasoning and analysis
Knowledge bases provide contextual information
Output Generation:
Analysis results are formatted for Twitter
Media content (memes, videos) is generated when appropriate
Tweets and replies are posted according to relevance and timing
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