Workflow

    MLNNA portfolio sync and review loop

    The workflow that turns scattered repository activity and manual context into a reviewable portfolio dashboard: sync GitHub activity into Notion, attach conversation/task context, run AI synthesis, export snapshots, review rendered dashboard evidence, and let the human operator correct the source-of-truth records before the next run.

    github syncnotionai synthesissnapshot exporthuman reviewMLNNANotion Project Dashboard Automation

    Workflow steps

    1. 1

      Operator decides whether to correct Notion/source context, accept the current evidence, or rerun the workflow before publication

      Decision

    2. 2

      Operator configures Notion access, GitHub token, repository allowlist, and dashboard environment before running the loop

      Action

    3. 3

      GitHub sync reads configured repositories and upserts project and activity records into Notion with stable keys

      Process

    4. 4

      Operator logs conversations, tasks, and decision context so source records include more than raw repo telemetry

      Action

    5. 5

      AI repo synthesis builds evidence bundles and writes structured goals with confidence, rationale, and evidence links

      Process

    6. 6

      AI portfolio analysis infers purpose, phase, top goal, risk flag, focus signals, and recommendations across all projects

      Process

    7. 7

      Snapshot export creates JSON and CSV artifacts that feed private and public dashboard data paths

      Action

    8. 8

      Human operator reviews dashboard proof surfaces including KPIs, project health, goals, activity, and repo drilldowns

      Decision

    Workflow diagram

    Part of projects

    MLNNAParent projectNotion Project Dashboard AutomationSubproject of MLNNA
    MLNNA portfolio sync and review loopThis workflow