Marketing
Contextual Email Generator
Client
InfoQ
Industry
Marketing
Services
Content Automation
Duration
Enterprise Grade
Executive Summary
Engineering resilience through InfoQ's transformation.
The objective was to develop an AI-powered tool for generating high-quality emails that are tailored to user specifications and enriched with external information. CleaLeaff used Retrieval-Augmented Generation (RAG) and specific prompt control for tone and style.
Contextual Communication
- Develop AI-powered tool for contextual email generation.
- Use RAG to enrich content with external data sources.
- Maintain consistent and personalized communication at scale.
- Address retrieval accuracy and contextual appropriateness.
RAG-Driven Generation
- Used advanced LLMs for accurate content tailoring.
- Implemented specific prompts to control tone and style.
- Automated classification and formatting for intent matching.
- Balanced richness and conciseness through iterative testing.
Measurable Outcomes
Measurable Impact
80%
Manual Input Reduction
90%
Tone Consistency
95%
Relevance Score
High-Quality, Enriched Communication
Refining the model through iterative testing achieved a balance between richness and conciseness while reducing manual input by over 80%. Relevance and tone consistency exceeded 90% across all email types.
Technical Stack
GenAIPythonRAGLLM Prompt Engineering
Core Disciplines
Email AutomationRAGPersonalization
