Share graph · provenance running forward
Adam Witanowski
Lab Director (acting) · Executive, Analytics · 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
Use a structured episodic store with summarised recall, not a raw vector memory
Agentic delivery works when the spec is the artifact; do not start with the code
Which memory layer should a new agent use?
Is the vendor's 'agentic' claim real?
When does on-prem inference make sense?
The direction of agentic development
Sovereign inference and the end of US default
Table stakes, not moats: what a right to play costs in 2026
Memory bake-off
Spec first, then agents
The skill wiki
Inference under seal
One context, whole pod
Nearest door into pharma
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.