Training Workflow

End-to-end Agent training pipeline — from data collection to continuous iteration

1

Data Collection

Data Prep

Collect 100+ quality articles from the target domain as training material, covering mainstream styles and topics on the target platform.

2

9-Dimension Analysis

Analysis

AI performs deep 9-dimension analysis on each article — platform traits, title patterns, opening strategy, structure, tone, ending — extracting actionable writing rules.

3

Prompt Distillation

Training

Aggregate all analysis results and historical feedback, distill new system_prompt and content_prompt via LLM, iteratively refining writing guidelines.

4

Batch Generation

Generation

Using the best training version prompts + adopted topics, with RAG material enhancement, batch-generate 500–800 word high-quality articles.

5

Multi-Role Auto Review

Review

Three AI judges (expert, ops, user) auto-score each article from different dimensions, identifying quality issues and improvement directions.

More steps available

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Above are only some core steps. The complete training pipeline includes more details and customization. Contact us for the full picture.

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