Keyboard shortcuts

Press or to navigate between chapters

Press S or / to search in the book

Press ? to show this help

Press Esc to hide this help

FRAMES Weekly Call - 2026-05-18

lora model completion, rai-crits tool selection, shot list generation and Streamline (streamline-media)/Amici onboarding for one-small-crawl.

At a glance

FieldValue
Date2026-05-18-frames-call
Series#6 of 17 FRAMES weekly calls
TypeWeekly Call
Source“Weekly Call 18.05.26.docx” (Weekly Calls FRAMES.zip)
Participants8
Decisions8
Action items5

Participants

NameOrg / Role
alberto-ciprian-
roberto-iacoviello-
chris-vienneau-
davide-zappia-
tim-deussen-
John Hobbs (john-hobbs)Streamline (streamline-media)
Muki (muki)-
Ahsan MallickAmici

Key decisions

#AreaDecisionFollow-up
1loralora for the snail character at different ages trained successfully by Ciprian (alberto-ciprian); test prompts + parameters on Google Drive; compositing tests started, facial expressions need improvement-
2TraceabilityTrained images to be tagged + linked to the snail character in Yamdu for traceability (naming-schema, provenance)-
3Tool selectionrai-crits selected over edit-mind for metadata extraction: richer semantic output (audio transcription with speaker diarization, named entity recognition, scene analysis), shot-block granularity, human-readable IDs, MAM integration-
4Shot listTim (tim-deussen) produced a shot list mapping archive footage to script locations with timecodes + production notes; flags for archive clearance, brand/logo, likeness, music, + human validation of AI metadataAction 1
5Drive structureGoogle Drive folder structure + workflow documentation aligned to the MovieLabs ontology (omc-ontology); JSON, JSON-LD + TTL exports carry scene + character identifiersAction 2
6Streamline (streamline-media)John Hobbs (john-hobbs) demoed: AWS S3 + Neo4j graph database, versioning by humans + machines, comments as first-class assets, M2M API for agents; positioned as alternative to Frame.io-
7AmiciAhsan Mallick introduced Amici: AI governance platform for film/TV, launched an AI competency course based on the Alan Turing framework-
8Best practicesIdentifier best-practices folder planned for interoperability-

Action items

#ActionOwner
1Formally request Yamdu API support for shot list importTim (tim-deussen)
2Send MovieLabs RDF/ontology data + versioning spec to JohnChris (chris-vienneau)
3Onboard Real Dreams to the acceleratorMuki (muki), Iacoviello (roberto-iacoviello)
4Upload further archive metadata analyses to shared driveZappia (davide-zappia)
5Commit to AI workflow tasks in the shared listAll

Notes