# Example: Multi-project run — improve writing tools, then dogfood them
#
# This multi-run first improves ArcheFlow's artifact routing and Colette's
# voice validation in parallel (Layer 0), then uses the improved toolchain
# to write the second Giesing Gschichte (Layer 1).
#
# Invoke:
#   archeflow:multi-project --config examples/multi-project-giesing.yaml
#   archeflow:multi-project --config examples/multi-project-giesing.yaml --dry-run

name: giesing-story-v2
description: "Improve writing tools, then write story #2 as dogfood"

projects:
  - id: archeflow
    path: "."                          # archeflow repo itself
    task: >
      Add cross-project artifact summaries to the Explorer prompt so that
      dependent runs receive structured context from upstream completions.
      Update artifact-routing skill and add a test fixture.
    workflow: fast
    domain: code
    depends_on: []

  - id: colette
    path: "../writing.colette"
    task: >
      Add a 'voice drift' validation command that compares a draft chapter
      against the voice profile YAML and reports drift scores per paragraph.
      Include pytest coverage for the scoring logic.
    workflow: standard
    domain: code
    depends_on: []

  - id: giesing
    path: "../book.giesing-gschichten"
    task: >
      Write story #2 ('Der Nockerberg') using the improved ArcheFlow artifact
      routing and Colette voice validation. Target 3000 words, Giesing voice
      profile, include local landmarks and dialect color.
    workflow: kurzgeschichte
    domain: writing
    depends_on: [archeflow, colette]

budget:
  total_usd: 15.00
  per_project_usd: 8.00

parallel: true