Defined weekly decoupling plan for knowledge pipeline

  • Day: 2026-05-03
  • Time: 10:50 to 11:40
  • Project: Business
  • Workspace: WP 1: Strategic / Growth & Development
  • Status: Completed
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: Knowledge-Layer, Taxonomy, Decoupling, Media-Monitor, Weekly-Planning, Workflow

Description

Session Goal

Clarify the weekly operating rhythm and taxonomy for the Knowledge Layer, with a focus on decoupling the Media Monitor pipeline and reducing churn in the underlying ontology.

Key Activities

  • Accepted a revised Knowledge Layer taxonomy organized by function, including a quarantine lane for coupled or legacy systems that should not be forced into clean modular categories yet.
  • Defined status labeling rules to make the current decoupling effort visible without redesigning stable components.
  • Established a weekly expression-cycle plan for the Media Monitor pipeline, mapping the week into distinct modes: selection, build/repair, externalization, reingestion, and weekend stabilization.
  • Drafted a day-by-day execution rhythm for modular knowledge products and media artifacts, emphasizing boundary definition, seam testing, and selective activation of secondary projects.
  • Reframed the work as an extraction-oriented pipeline: Media Monitor → Digest Engine → Summarizer Service → Publisher Hub, with Friday reingestion and recovery/capture over the weekend.

Achievements

  • The taxonomy was formally accepted, including the quarantine concept for entangled systems.
  • The session clarified that the immediate priority is not more taxonomy churn, but visible state updates and operational decoupling.
  • A concrete weekly cadence was established to support execution across planning, building, publishing, and reintegration.

Pending Tasks

  • Apply the new status labels to Media Monitor and related coupled rows.
  • Freeze further taxonomy changes unless a structural issue emerges.
  • Execute the weekly plan and validate whether the extraction pipeline remains minimal and stable.
  • Revisit secondary projects only after the primary media/knowledge chain is functioning cleanly.

Evidence

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