Pi Fusion brings benchmark-tested model fusion to Pi agents. It runs independent model participants, synthesizes the strongest answer, and keeps the process inspectable with local artifacts, costs, token usage, and evidence summaries. Unlike vibe-only fusion demos, this launch ships with DRACO full10 scored validation and a public scoring recording.
I built Pi Fusion because most model-fusion demos stop at "run a few models and merge the text." I wanted a Pi-native version that can be inspected, reproduced, and scored end to end.
What makes this launch different:
- 10-task DRACO scored validation
- prompt-only generation before scoring
- scorer-only rubric access after answers are sealed
- local run artifacts for costs, token usage, evidence, and final synthesis
- open-source Pi extension
The goal is simple: make model fusion something you can verify, not just vibe-test.
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