DaVinciInterested?

The proof

From a cold start to 84% reuse in fifteen days

The test Fifteen simulated days against a live commercial LLM provider.

Cold start The system began blind, with no prior data, no stored reasoning, no clusters, no taxonomy and no human labels. Everything it served, it learned in the run.

Daily share by pathfigures above bars: daily reuse %
KNOWN, no model callPARTIAL, guidedNEW, full model call
100%75%50%25%0%
25
1
57
2
55
3
62
4
77
5
84
6
80
7
73
8
88
9
82
10
86
11
84
12
86
13
80
14
84
15
Day
Error rate per day, graded Synapse serves
10%5%0%
Day 1: 7.1%Day 15: 2.1%

95.6% correct across the run.

Day 15All fifteen days
Reuse84%74%
No model call66%55%
Fewer tokens75.1%65.3%

In theory: as a problem set saturates, every query becomes known, and serving approaches zero tokens, a tokenless response.

Compounds75% to 16%

of daily queries needed a new, paid answer, day 1 to day 15, as daily reuse rose from 25% to 84%.

Quality rises92.9% to 97.9%

correct answers, day 1 to day 15.

Economics75%

fewer tokens per query, before reuse vs day 15. Cost per query 76% lower by day 15.

Learns on its own & Self integratesNo human labels

It organised and policed its own knowledge without supervision.