The question behind the work
Different models can bring different strengths to the same question. The council workflow explores how to collect those perspectives and make the review process explicit.
An exploration of local model orchestration: generate independently, review anonymously, then synthesize a final response.
Collect answers from several local models.
Ask models to rank anonymized responses.
Combine the peer rankings.
Let a chairman model assemble the final response.
Source and context from my portfolio
Different models can bring different strengths to the same question. The council workflow explores how to collect those perspectives and make the review process explicit.
Python, JavaScript and Ollama connect generation, anonymous peer review and synthesis. The repository contains the implementation and any upstream attribution.
A council is a workflow for comparing answers. Its final output still needs evaluation; agreement between models does not establish correctness.
Step through an illustration of the council workflow. These are sample responses, not live model inference.
SAMPLE QUESTION How should a team evaluate a multilingual summarizer?