Kheish's quality assurance system is built on a rigorous iterative feedback mechanism, and its workflow can be divided into four key phases:
iterative loop process
- Initial proposal: The Proposer generates the first version of the program based on inputs and contexts
- Professional review:: Reviewer assesses the proposal from multiple perspectives and offers constructive criticism
- optimization: Proponent to re-address issues and improve program based on feedback
- final verification: The Validator confirms the completeness and correctness of the program.
Quality assurance measures
- Multiple role checks and balances: Specialization of different roles to form a quality firewall
- many iterations: The cycle is not terminated until a preset criterion is reached
- Module Validation: Hands-on verification of key operations through modules such as File System, Shell, etc.
- Standardization of formats: ultimately it is the formatter who ensures the consistency and readability of the output
This mechanism mimics the collaborative model of a team of human experts, and the cross-checking of roles ensures that each solution is fully justified and validated, resulting in a highly accurate final output.
This answer comes from the articleKheish: multi-actor intelligences that review, validate and format output to produce high quality resultsThe
May not be reproduced without permission:AI productivity tools " How does Kheish's feedback iteration mechanism work? How do you ensure the quality of the end result?
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