llm-forge

To improve a document using peer review and synthesis, you can route the artifact through five specialized agents who produce parallel improvements, conduct anonymized peer reviews, and deliver a final synthesized version with traceable justifications.

Refining code through multi-agent drafting involves five specialized agents generating parallel improved versions, followed by anonymized peer reviews and a master synthesis that combines the strongest elements into a final forged artifact.

Yes, automated artifact improvement applies to strategy proposals by routing them through five specialized agents who craft parallel improvements, conduct anonymized peer reviews, and synthesize a superior final version with a shareable report.

Anonymized peer review for artifact improvement works by having five specialized agents produce improved versions, then reviewing each other's outputs anonymously to ensure the final master synthesis is merit-based and combines the strongest elements.

Yes, artifact synthesis provides traceability by delivering a comprehensive output that includes the forged artifact alongside a detailed report and transcript, ensuring every improvement and review step is documented.

Use multi-agent synthesis instead of a single LLM pass when your artifact already works but needs significant improvement, as the parallel drafting, anonymized peer reviews, and master synthesis produce a superior version with structured justifications.