Build a Sovereign Deep Research Agent

Protecting Your Competitive Advantage While Using AI

Enterprises frequently use AI to perform deep online research—scanning legislation, competitor reports, academic papers, and patents. However, a critical problem exists: these research findings are often proprietary.

When you use standard AI tools for this research, you risk exposing your strategies to foreign vendors who may log your data or use it to train future models. The GLBNXT platform allows you to run open-weight LLMs in a fully sovereign European environment. This ensures your insights remain strictly inside your organization.

The Deep Research Agent Workflow

In this tutorial, we utilize n8n on the GLBNXT dashboard to create an agent that automates complex research tasks without external data leakage. The agent is structured in three distinct stages:

1. The Planning Stage

• Input: You provide a specific query or research topic.

• Action: An LLM analyzes the request and breaks it down into relevant sub-topics or "chapters" to investigate.

• Configuration: You can specify the depth of the report (e.g., requesting a 5-chapter analysis).

2. The Content Stage

• Action: The agent executes the research plan step-by-step.

• Deep Dive: It investigates each identified topic individually, gathering data from available sources.

• Traceability: You can monitor the execution flow in real-time to see exactly what the agent is researching.

3. The Finalize Stage

• Compilation: All collected information is synthesized into a cohesive document.

• Formatting: The system generates a polished PDF report.

• Delivery: The final report is automatically emailed directly to your inbox.

Real-World Example: EU Data Act Analysis

In the video demonstration, we task the agent with a complex query: "Investigate the impact of the EU Data Act on the Dutch hosting market."

The Result:

• The agent successfully split the query into five distinct research topics.

• It automatically generated an 18-page PDF report.

• Crucially, the report included cited sources at the end, making the AI's findings verifiable for the organization.

Why Build This on GLBNXT?

• Zero Data Leakage: There are no external APIs transferring your research strategies to third parties.

• No Model Training: Your proprietary findings are never used to train the model for other users.

• Sovereign Infrastructure: The entire process—from query to PDF generation—runs securely inside a European sovereign platform.