Share graph · provenance running forward
Tom Okafor
Research engineer · 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
Voice agent latency floor for AU telco
Delegated-authority broker for agent tool calls
Compiling agent experience into a persistent skill wiki
Temporal decision memory for a claims agent
Non-weight-bound learning via retrieval-updated skills
Sensing agent over store telemetry
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.