How AI agents transform research requests into comprehensive dossiers
The AI Research Pipeline is the heart of Elusiv's research generation system. It transforms user queries into comprehensive, well-researched dossiers through a sophisticated orchestration of AI agents, tools, and validation processes.
The AI pipeline operates off-chain for flexibility and cost efficiency, while maintaining on-chain provenance and integrity guarantees.
Elusiv uses a multi-agent system where specialized AI agents collaborate to produce research:
Gather relevant information from curated datasets and external sources.
Analyze information, synthesize findings, and construct coherent arguments.
Specialized agents for specific domains (physics, economics, history, etc.).
Verify facts, check citations, and ensure quality standards.
The Agent Orchestrator coordinates the research process:
Routes requests to appropriate agent ensembles based on topic, domain, and complexity.
Maintains versioned prompts and runbooks for reproducibility and consistency.
Integrates domain-specific tools (simulations, models, databases) as needed.
Orchestrator receives on-chain event, analyzes query, and assigns to appropriate agent ensemble.
Retrieval agents gather relevant data from curated corpora, external sources, and user-supplied datasets.
Reasoning agents analyze information, identify patterns, and synthesize findings into coherent narratives.
Agents generate research outputs ranging from brief memos (3-10 pages) to comprehensive dossiers (30-70+ pages), with executive summaries, detailed analysis, citations, and visualizations.
Validation agents and reviewers check quality, verify citations, and ensure standards are met.
Elusiv uses Retrieval-Augmented Generation (RAG) to enhance research quality:
Before publication, research undergoes automated validation:
Checks for unsupported claims and factual errors
Ensures multiple sources are cited, avoiding single-source bias
Verifies compliance with safety and governance policies
Ensures proper formatting, citations, and document structure
For complex or sensitive topics, human reviewers may:
The Agent Orchestrator manages the entire research lifecycle:
Analyzes queries and routes to appropriate agent ensembles based on domain and complexity.
Coordinates multi-step research processes, managing dependencies between agents.
Integrates domain-specific tools (physics engines, econometric models, simulations) as needed.
Maintains structured logs of prompts, model versions, tool calls, and evaluation scores.
All research processes are logged for:
The attestation layer provides: