Share graph · provenance running forward
David Diaz
Lead Analytics Specialist · agents · lab
What they dropped, which clusters it landed in, what got elected, and which experiments and findings descended from it. Everyone’s is visible to everyone, symmetrically. Show outcomes, not counts — no totals, no rankings, no rollups.
Dropped
signals with this person attached
Landed in
distinct clusters
Elected
of those, now fields
Descended
experiments and published items
Drops
What descended
Not yet: realtime voice for AU contact centres above tier-1 triage
Agents act under delegated, scoped, expiring authority — never a service account
Learning without weights: where continual learning actually lands
How fast is fast enough
Who signed for that
The skill wiki
Does it still agree with itself?
Learning without retraining
The agent that watches the shop
Follow this person’s finds
Following someone whose drops are consistently good is the internal version of the external voice watchlist, and often a better source than any detector.