Background to the issue
Errors in technical documentation are often cascading and difficult to catch with traditional proofreading methods, and Kheish's feedback loop system effectively blocks the error propagation chain.
prescription
- Third-order verification system:: Proposer drafts → reviewer flags issues → validator finalizes
- Memory Module Applications: Store error history in the memories module to form a knowledge base.
- Formatted output: Ensure that the final document conforms to the standard template through the formatter role.
Implementation details
- Configuration documentation written in dedicated YAML, containing all authentication roles
- Enable RAG module association related specifications and reference documents
- Set autosave points to generate revisions for each iteration
- Key parameter: set a threshold of at least 3 review cycles
Effectiveness evaluation
Practical tests show that this solution can reduce the document error rate by 82%, which is especially suitable for API documents, technical white papers and other scenarios with high accuracy requirements.
This answer comes from the articleKheish: multi-actor intelligences that review, validate and format output to produce high quality resultsThe
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