Processing Pipeline
User Request Handling
Example: “What is the long-term analysis for Solana $SOL”
Sent via chat, UI dashboard, or API call.
ASKNOEL AI Research System
Identifies query type: market sentiment, price prediction, or code interpretation.
Multimodel Reasoning Layer
Model Selection: Picks the best model for the task (e.g., DeepSeek for textual reasoning, Grok for sentiment analysis).
Collaboration: Multiple LLMs collaborate for complex, multi-part queries.
Tool Interactions
ASKNOEL invokes specialized tools (on-chain analytics, sentiment analysis, financial modeling).
Aggregation & Finalization
Combines results from LLMs and ASKNOEL intelligence tools into a cohesive final answer.
Runs logic and consistency checks.
Dataset Logging
Archives key outputs for historical reference and model refinement.
Output Delivery
Final insights are delivered via:
Chat replies in web app
Interactive dashboard
PDF/HTML reports
Structured API responses
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