Share graph · provenance running forward
Dev Sharma
Sector owner · Retail · firm
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
Agentic delivery works when the spec is the artifact; do not start with the code
Not yet: realtime voice for AU contact centres above tier-1 triage
Put backpressure on agent fan-out before you put it on the model
The direction of agentic development
Voice agent latency floor for AU telco
Spec-first agentic delivery on a live internal repo
Compiling agent experience into a persistent skill wiki
Backpressure patterns for agent fan-out
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.