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docs: update website hero stats with 400K eval results#405

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BYK merged 1 commit into
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docs-website-stats
May 19, 2026
Merged

docs: update website hero stats with 400K eval results#405
BYK merged 1 commit into
mainfrom
docs-website-stats

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@BYK BYK commented May 19, 2026

Summary

Update the three hero stats on withlore.ai with results from the new eval suite.

Before

  • 85% Coding Recall Accuracy (old eval system)
  • 7.4x Cheaper per Correct Answer (old eval system)
  • 19x Compression Ratio

After

  • +47% Preference Recall vs Default
  • 4.92 out of 5.0 at 400K Tokens
  • 19x Compression Ratio (unchanged)

Why these numbers

The preference recall metric is our strongest and most defensible result. Tested at 400K tokens (realistic coding session length) across 3 scenarios: explicit preferences, implicit behavioral patterns, and preference evolution. Lore scores 4.92/5 vs tail-window baseline at 3.34/5.

Files Changed

  • docs/index.html — hero stats section

Replace old stats (85% accuracy, 7.4x cheaper) with new eval numbers:
- +47% Preference Recall vs Default
- 4.92 out of 5.0 at 400K Tokens
- 19x Compression Ratio (unchanged)
@BYK BYK self-assigned this May 19, 2026
@BYK BYK merged commit 81e7095 into main May 19, 2026
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@BYK BYK deleted the docs-website-stats branch May 19, 2026 21:17
This was referenced May 21, 2026
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