Why LexiSage? Reducing Waste by 6000%
Traditional data synthesis for language learning or professional exams is a high-friction manual process. LexiSage eliminates the search-and-entry waste by using a Python-based pipeline integrated with DeepSeek/OpenAI.
| Process | Manual Entry | LexiSage Automation |
|---|---|---|
| Data Synthesis | 120 Minutes | 2 Minutes |
| Precision | Human Variance | AI Context-Aware |
| Scalability | Linear Effort | Batch Execution |
Simplified Workflow: How it Works
1. Field Mapping (The Logic Set)
Instead of manual entry, users define "Source" (Words/Context) and "Target" fields. The AI then populates complex meanings based on custom prompts.
Figure 1: Automated Multi-Field Configuration
2. Batch Generation (The Time Saver)
The core optimization occurs here: One click processes hundreds of cards simultaneously using multi-threading concurrency.
Figure 2: Triggering Batch Execution
3. Real-Time Refinement
A single-button interface in the editor allows for instant updates, keeping the learning loop tight and effective.
Figure 3: Instant Edit Interface
Why it Delivers
- Context-Aware Parsing: AI intelligently analyzes core meanings based on example sentence context.
- Multi-AI Support: Direct integration with OpenAI, DeepSeek, and xAI for optimal cost-performance balance.
- Independent Config: Each field maintains its own AI instructions, ensuring tailored results for diverse data types.