AI-Powered Campaign Research Report Generator for Animal Advocates
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Empower animal advocates with automated, in-depth corporate campaign research. This workflow leverages AI to extract critical information about primary targets and their networks, then synthesizes it into comprehensive, actionable reports complete with strategic recommendations and full citations.
About This Workflow
Revolutionize your advocacy efforts with this n8n workflow, designed to streamline the laborious process of campaign research. It intelligently uses Large Language Models (LLMs) to first extract structured data on corporate entities and their 'sub-targets' from raw text. This structured information is then meticulously processed and aggregated before a second powerful LLM generates a professional, campaign-ready report. The report provides deep insights into exploitable vulnerabilities, a range of tactical opportunities (from moderate to radical), and crucial contact information, all substantiated with in-line citations. Focus less on manual data compilation and more on impactful campaigning.
Key Features
- Intelligent Information Extraction: Automatically identifies and extracts key sub-target names and their relevance from complex textual data using an LLM, structured via a defined JSON schema.
- AI-Driven Report Generation: Synthesizes extracted data into a cohesive, professional report, tailored for advocacy campaigns, complete with an introduction, campaign insights, strategic recommendations, and contact information.
- Actionable Campaign Tactics: The generated reports include a spectrum of campaign tactics—moderate, escalated, and radical—for both primary targets and their sub-targets.
- Comprehensive Citation & Sourcing: Ensures all claims within the report are backed by in-line citations and a consolidated list of URLs in the footnotes, enhancing credibility and verifiability.
- Customizable Report Structure: The detailed report generation prompt can be easily modified to adapt the output structure, tone, and focus to specific campaign needs or organizational guidelines.
How To Use
- Provide Input Data: Connect a preceding node (e.g., a web scraper, a document reader, an HTTP request) to feed raw text or research findings into the 'Information Extractor' node. This text should contain details about your primary target and potential sub-targets.
- Configure Information Extractor: Open the 'Information Extractor' node. Ensure your LLM model and API key are correctly configured. The node is set up to extract 'Sub-Target Name' and 'Relevance' based on the provided JSON schema; review or adjust this schema if you need to extract different fields.
- Review Split Out & Aggregate Nodes: The 'Split Out' node automatically processes the extracted sub-targets individually, and the 'Aggregate' node collects all processed data. These typically require no configuration for basic usage.
- Customize Write Final Report: Open the 'Write Final Report' node. Configure your LLM model and API key. Critically, review the detailed prompt to ensure the generated report aligns with your specific campaign goals, desired tone, and required sections. Modify sections, tactical descriptions, or emphasis as needed.
- Execute Workflow: Run the workflow to automatically generate a detailed campaign research report based on your input data and configurations.
Apps Used
Workflow JSON
{
"id": "077bc7b6-ab9f-4ab0-a638-3617500f1511",
"name": "AI-Powered Campaign Research Report Generator for Animal Advocates",
"nodes": 14,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 077bc7b6-ab9f...
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