Simpledot learns every night.

Every answer produces outcome signals — which engine an independent judge picked, what our critic flagged, what users thumbed down. Each night those signals are distilled into a new policy that shapes the next day's answers. No query text is ever stored, only outcomes. This page is the public record of what Simpledot learned.

1. 2026-10-19Policy v2450 signals analyzed
   • Deferred engine priority ranking because the 24-hour sample size was too small to reliably distinguish engine quality.
   • No new prompt rules or search hints were added due to low overall defect counts.
2. 2026-10-12Policy v2362 signals analyzed
   • Chat answers now prioritize OpenAI, followed by Google and Anthropic, based on head-to-head judge win rates over the last 24 hours.
3. 2026-10-06Policy v2289 signals analyzed
   • No policy updates applied.
4. 2026-10-05Policy v2153 signals analyzed
   • Prioritized OpenAI for chat tasks based on leading judge win counts.
   • Omitted code engine ranking due to insufficient sample size.
5. 2026-10-04Policy v20131 signals analyzed
   • Chat answers prioritize OpenAI, which led with 45 judge wins, followed by Google (34) and Anthropic (14).
   • Code evaluation volume (18 tasks) was too low to confidently establish an engine ranking tonight.
   • Zero thumbs-down ratings or regenerations were recorded across both tasks.
6. 2026-10-02Policy v1978 signals analyzed
   • Chat engine priority updated to Google, OpenAI, Anthropic based on 31, 17, and 9 judge wins across 68 queries.
   • Code engine prioritization omitted due to insufficient evaluation volume (10 queries).
   • No prompt rules added as individual critic defect counts remain too low to establish consistent patterns.
7. 2026-10-01Policy v1889 signals analyzed
   • Chat engine priority updated to OpenAI, Google, Anthropic based on 78 judge evaluations.
   • Code engine priority omitted tonight due to insufficient sample volume (11 queries).
8. 2026-09-29Policy v17142 signals analyzed
   • Chat engine priority set to OpenAI, Google, and Anthropic based on 137 judge evaluations.
   • Code engine ranking omitted due to low volume (5 evaluations).
   • Added a prompt rule against fabricating product details when images or sources are not provided.
9. 2026-09-27Policy v1656 signals analyzed
   • Chat routing now prioritizes OpenAI, followed by Google and Anthropic, based on 32 judge wins across 50 evaluations.
   • Code routing was not updated due to low evaluation volume (6 queries).
10. 2026-09-21Policy v1533 signals analyzed
    • Chat engine priority updated to rank OpenAI ahead of Google based on judge wins.
    • Code engine routing remains unchanged due to insufficient volume.
11. 2026-09-20Policy v1489 signals analyzed
    • Prioritized OpenAI engines for chat tasks after leading with 48 out of 83 judge wins.
    • Omitted code engine priority updates due to low evaluation volume (6 queries).
12. 2026-09-17Policy v1386 signals analyzed
    • Chat routing prioritized OpenAI models, which secured 57 out of 68 judged wins, followed by Google and Anthropic.
    • Code task sample size (7 evaluations) was insufficient to reliably update engine rankings.
13. 2026-09-15Policy v1264 signals analyzed
    • Prioritized OpenAI models for general conversation based on winning 65% of evaluated chat judgments.
14. 2026-09-10Policy v11119 signals analyzed
    • Chat engine ranking updated to OpenAI, Anthropic, and Google based on 111 judge outcomes.
    • Code evaluations had insufficient volume to reliably rank engines.
15. 2026-09-08Policy v1080 signals analyzed
    • Prioritized OpenAI models for chat tasks based on 32 judge wins, followed by Anthropic (27) and Google (11).
    • Deferred code engine ranking due to insufficient sample volume (3 total runs).
16. 2026-09-05Policy v963 signals analyzed
    • Chat routing now prioritizes Anthropic and OpenAI engines, which tied with 22 judge wins each over Google's 7.
    • Code evaluations were omitted from priority updates due to insufficient sample size (2 queries).
17. 2026-09-03Policy v880 signals analyzed
    • Chat routing now prioritizes OpenAI, Anthropic, and Google based on 68 evaluation wins.
    • Code sample size was too small to reliably rank engines.
18. 2026-08-31Policy v728 signals analyzed
    • Observed truncated scripts in code answers; added a rule to ensure code is complete and fully executable.
19. 2026-08-25Policy v646 signals analyzed
    • Chat engine priority updated to rank OpenAI ahead of Anthropic based on 29 judge wins out of 34 scored comparisons.
    • Code engine prioritization deferred due to low sample volume (3 total interactions).
20. 2026-08-23Policy v560 signals analyzed
    • Chat engine priority set to OpenAI (32 wins), Anthropic (8 wins), and Google (5 wins) based on 55 judge evaluations.
    • Code task engine ranking omitted due to insufficient sample volume (5 total requests).
21. 2026-08-18Policy v430 signals analyzed
    • Chat answers now prioritize OpenAI engines based on leading judge win rates over the last 24 hours.
    • Code engine prioritization omitted due to insufficient query volume.
22. 2026-08-16Policy v354 signals analyzed
    • Chat routing now prioritizes OpenAI engines based on leading judge win share.
    • Code routing left unchanged due to insufficient sample size over the last 24 hours.
23. 2026-08-13Policy v2150 signals analyzed
    • Omitted engine priority updates as judge wins were concentrated entirely within OpenAI models.
    • No prompt rules or search hints were generated due to zero recorded defects and thumbs-down signals.
24. 2026-08-10Policy v1198 signals analyzed
    • Prioritized OpenAI engines for chat tasks based on top judge win counts over the last 24 hours.
    • Maintained empty prompt rules and search hints due to low overall defect and feedback rates.