How do mission goals become a stakeholder impact report?
For mission designers: turn named initiatives, beneficiaries and stated targets into a readable impact narrative while keeping goals separate from measured outcomes.
01
Read the initiatives
Each initiative lists beneficiaries, capability vectors and success metrics. Growth and resilience values are stated targets, not measured results.
The orchestrator loads YAML, constructs initiative summaries and serializes an impact report. It synthesizes a narrative rather than executing the described real-world programs.
Compare the recorded report with the configuration. Trace every quantitative claim back to its target or calculation before using it in a presentation.
{"revision":"5b4cebb309a83a7a6749d8911d8bf96a1921e042","sources":[{"file":"demo/superintelligent-empowerment/configs/mission.yaml","content":"story:\n headline: \"Empowered ecosystems bloom under superintelligent stewardship\"\n tone: \"Audacious yet grounded in measurable impact\"\n empowerment_hook: \"Communities, founders, and institutions co-create prosperity with AGI copilots\"\ninitiatives:\n - name: \"Community Catalyst Pods\"\n description: \"Deploy neighborhood-scale AGI labs that mentor citizens into high-leverage builders.\"\n beneficiaries:\n - \"Student innovators\"\n - \"Civic coalitions\"\n - \"Local climate projects\"\n capability_vector:\n - \"Hyperlocal foresight forecasting\"\n - \"Realtime grant and talent orchestration\"\n - \"Ethical guardrail co-design\"\n success_metric: \"80% of participants launch self-sustaining ventures within 9 months\"\n - name: \"Sovereign Supply Chain Weavers\"\n description: \"Fuse manufacturing telemetry with AGI negotiators to eliminate scarcity shocks.\"\n beneficiaries:\n - \"Sustainable manufacturers\"\n - \"Frontline logistics teams\"\n - \"Policy stewards\"\n capability_vector:\n - \"Planetary-scale demand anticipation\"\n - \"Trusted cross-border settlement protocols\"\n - \"Adaptive climate resilience simulations\"\n success_metric: \"40% reduction in critical supply disruptions year-over-year\"\n - name: \"Interstellar Entrepreneur Fellowship\"\n description: \"Launch founders with AGI copilots that manifest moonshot economies for all.\"\n beneficiaries:\n - \"Emergent founders\"\n - \"Impact investors\"\n - \"Global public\"\n capability_vector:\n - \"Transdomain synthesis and invention\"\n - \"Autonomous capital alignment\"\n - \"Empathy-first stakeholder storytelling\"\n success_metric: \"10x increase in equitable enterprise value generation\"\ngrowth_targets:\n - \"Empowered founders deliver 250% reinvestment into community-owned ventures\"\n - \"Civic resilience index improves by 3.4x across participant regions\"\nresilience_targets:\n - \"Critical infrastructure downtime reduced below 0.01%\"\n - \"Dynamic talent redeployment occurs within minutes of disruption\"\n","format":"text","sha256":"dc272c2d1b3444a84837b4b2a78ae554e0dc11941d0f7d2c85ef27bd37fdc4f9","bytes":2049,"download":"/AGIJobsv0/examples/dc272c2d1b3444a8-mission.yaml","source":"https://github.com/MontrealAI/AGIJobsv0/blob/5b4cebb309a83a7a6749d8911d8bf96a1921e042/demo/superintelligent-empowerment/configs/mission.yaml"},{"file":"demo/superintelligent-empowerment/code/run_demo.py","content":"\"\"\"Entry point for the Superintelligent Empowerment demo.\n\nThis script loads the scenario configuration, synthesises a narrative\nof empowered stakeholders, and emits an impact report. It is designed\nso the setup script can execute it end-to-end without manual\nintervention.\n\"\"\"\nfrom __future__ import annotations\n\nimport argparse\nimport json\nimport os\nfrom dataclasses import dataclass, asdict\nfrom datetime import datetime, timezone\nfrom pathlib import Path\nfrom typing import List\n\nimport yaml\nfrom rich.console import Console\nfrom rich.table import Table\n\n\nPROJECT_ROOT = Path(__file__).resolve().parents[1]\nDEFAULT_CONFIG = PROJECT_ROOT / \"configs\" / \"mission.yaml\"\nDEFAULT_OUTPUT = PROJECT_ROOT / \"output\" / \"report.json\"\nENV_CONFIG = \"SUPER_EMPOWER_CONFIG\"\nENV_OUTPUT = \"SUPER_EMPOWER_OUTPUT\"\n\nconsole = Console()\n\n\n@dataclass\nclass Initiative:\n \"\"\"Represents a single empowerment initiative.\"\"\"\n\n name: str\n description: str\n beneficiaries: List[str]\n capability_vector: List[str]\n success_metric: str\n\n\n@dataclass\nclass DemoReport:\n \"\"\"Structured output for the impact story.\"\"\"\n\n generated_at: str\n executive_summary: str\n initiatives: List[Initiative]\n projected_outcomes: List[str]\n\n def to_dict(self) -> dict:\n payload = asdict(self)\n payload[\"initiatives\"] = [asdict(item) for item in self.initiatives]\n return payload\n\n\nclass DemoOrchestrator:\n \"\"\"Creates a narrative based on configuration inputs.\"\"\"\n\n def __init__(self, config: dict):\n self.config = config\n\n def build_initiatives(self) -> List[Initiative]:\n initiatives = []\n for entry in self.config.get(\"initiatives\", []):\n initiatives.append(\n Initiative(\n name=entry[\"name\"],\n description=entry[\"description\"],\n beneficiaries=entry[\"beneficiaries\"],\n capability_vector=entry[\"capability_vector\"],\n success_metric=entry[\"success_metric\"],\n )\n )\n return initiatives\n\n def craft_summary(self, initiatives: List[Initiative]) -> str:\n headline = self.config[\"story\"].get(\"headline\")\n tone = self.config[\"story\"].get(\"tone\")\n empowerment_hook = self.config[\"story\"].get(\"empowerment_hook\")\n return (\n f\"{headline}\\n\"\n f\"Tone: {tone}.\\n\"\n f\"Empowerment: {empowerment_hook}.\"\n )\n\n def compute_projected_outcomes(self) -> List[str]:\n growth_targets = self.config.get(\"growth_targets\", [])\n resilience_targets = self.config.get(\"resilience_targets\", [])\n return [\n f\"Projected growth: {target}\" for target in growth_targets\n ] + [\n f\"Resilience gain: {target}\" for target in resilience_targets\n ]\n\n def render_console_summary(self, initiatives: List[Initiative]) -> None:\n table = Table(title=\"Empowerment Initiative Portfolio\")\n table.add_column(\"Initiative\")\n table.add_column(\"Beneficiaries\")\n table.add_column(\"Superintelligent Capabilities\")\n table.add_column(\"Success Metric\")\n\n for initiative in initiatives:\n table.add_row(\n initiative.name,\n \"\\n\".join(initiative.beneficiaries),\n \"\\n\".join(initiative.capability_vector),\n initiative.success_metric,\n )\n console.print(table)\n\n def build_report(self) -> DemoReport:\n initiatives = self.build_initiatives()\n self.render_console_summary(initiatives)\n summary = self.craft_summary(initiatives)\n outcomes = self.compute_projected_outcomes()\n return DemoReport(\n generated_at=datetime.now(timezone.utc).isoformat(),\n executive_summary=summary,\n initiatives=initiatives,\n projected_outcomes=outcomes,\n )\n\n\ndef load_config(path: Path) -> dict:\n with path.open(\"r\", encoding=\"utf-8\") as handle:\n return yaml.safe_load(handle)\n\n\ndef _default_paths() -> tuple[Path, Path]:\n \"\"\"Resolve configuration and output defaults.\n\n Environment variables take precedence to keep CI and local runs\n hermetic. Falling back to repository-relative defaults lets a\n bare ``python run_demo.py`` succeed without extra flags.\n \"\"\"\n\n config = Path(os.environ.get(ENV_CONFIG, DEFAULT_CONFIG)).expanduser()\n output = Path(os.environ.get(ENV_OUTPUT, DEFAULT_OUTPUT)).expanduser()\n return config, output\n\n\ndef parse_args(argv: list[str] | None = None) -> argparse.Namespace:\n parser = argparse.ArgumentParser(description=\"Run the empowerment demo\")\n default_config, default_output = _default_paths()\n parser.add_argument(\n \"--config\",\n type=Path,\n default=default_config,\n help=(\n \"Path to the YAML configuration file. \"\n f\"Defaults to {default_config} or ${ENV_CONFIG} if set.\"\n ),\n )\n parser.add_argument(\n \"--output\",\n type=Path,\n default=default_output,\n help=(\n \"Path for the generated JSON report. \"\n f\"Defaults to {default_output} or ${ENV_OUTPUT} if set.\"\n ),\n )\n return parser.parse_args(argv)\n\n\ndef main(argv: list[str] | None = None) -> None:\n args = parse_args(argv)\n if not args.config.exists():\n raise FileNotFoundError(\n f\"Configuration file not found at {args.config}. \"\n \"Provide --config or set ${ENV_CONFIG} to override.\"\n )\n\n config = load_config(args.config)\n orchestrator = DemoOrchestrator(config)\n report = orchestrator.build_report()\n\n args.output.parent.mkdir(parents=True, exist_ok=True)\n with args.output.open(\"w\", encoding=\"utf-8\") as handle:\n json.dump(report.to_dict(), handle, indent=2)\n\n console.log(f\"Impact report saved to {args.output}\")\n\n\nif __name__ == \"__main__\":\n main()\n","format":"text","sha256":"9c8e840951fccc93438663b9ef52578247aa1a6fb982fc475ddc62bd26b38259","bytes":5930,"download":"/AGIJobsv0/examples/9c8e840951fccc93-run_demo.py","source":"https://github.com/MontrealAI/AGIJobsv0/blob/5b4cebb309a83a7a6749d8911d8bf96a1921e042/demo/superintelligent-empowerment/code/run_demo.py"},{"file":"demo/superintelligent-empowerment/output/report.json","content":"{\n \"generated_at\": \"2025-10-27T20:39:04.470174+00:00\",\n \"executive_summary\": \"Empowered ecosystems bloom under superintelligent stewardship\\nTone: Audacious yet grounded in measurable impact.\\nEmpowerment: Communities, founders, and institutions co-create prosperity with AGI copilots.\",\n \"initiatives\": [\n {\n \"name\": \"Community Catalyst Pods\",\n \"description\": \"Deploy neighborhood-scale AGI labs that mentor citizens into high-leverage builders.\",\n \"beneficiaries\": [\n \"Student innovators\",\n \"Civic coalitions\",\n \"Local climate projects\"\n ],\n \"capability_vector\": [\n \"Hyperlocal foresight forecasting\",\n \"Realtime grant and talent orchestration\",\n \"Ethical guardrail co-design\"\n ],\n \"success_metric\": \"80% of participants launch self-sustaining ventures within 9 months\"\n },\n {\n \"name\": \"Sovereign Supply Chain Weavers\",\n \"description\": \"Fuse manufacturing telemetry with AGI negotiators to eliminate scarcity shocks.\",\n \"beneficiaries\": [\n \"Sustainable manufacturers\",\n \"Frontline logistics teams\",\n \"Policy stewards\"\n ],\n \"capability_vector\": [\n \"Planetary-scale demand anticipation\",\n \"Trusted cross-border settlement protocols\",\n \"Adaptive climate resilience simulations\"\n ],\n \"success_metric\": \"40% reduction in critical supply disruptions year-over-year\"\n },\n {\n \"name\": \"Interstellar Entrepreneur Fellowship\",\n \"description\": \"Launch founders with AGI copilots that manifest moonshot economies for all.\",\n \"beneficiaries\": [\n \"Emergent founders\",\n \"Impact investors\",\n \"Global public\"\n ],\n \"capability_vector\": [\n \"Transdomain synthesis and invention\",\n \"Autonomous capital alignment\",\n \"Empathy-first stakeholder storytelling\"\n ],\n \"success_metric\": \"10x increase in equitable enterprise value generation\"\n }\n ],\n \"projected_outcomes\": [\n \"Projected growth: Empowered founders deliver 250% reinvestment into community-owned ventures\",\n \"Projected growth: Civic resilience index improves by 3.4x across participant regions\",\n \"Resilience gain: Critical infrastructure downtime reduced below 0.01%\",\n \"Resilience gain: Dynamic talent redeployment occurs within minutes of disruption\"\n ]\n}\n","format":"json","sha256":"609909f62365ce4faef1859c0b77af033896e4805f073f1c2b23cd7ad67aabaa","bytes":2363,"download":"/AGIJobsv0/examples/609909f62365ce4f-report.json","source":"https://github.com/MontrealAI/AGIJobsv0/blob/5b4cebb309a83a7a6749d8911d8bf96a1921e042/demo/superintelligent-empowerment/output/report.json"}]}
FROM READING TO A REPRODUCIBLE RUN
Try the selected path.
Isolated Python environment
Use Python 3.12 in a virtual environment. Install this demo’s tracked requirements file when present, then run python -m pip check. Some variants have additional requirements: follow the selected implementation’s guide, not an unrelated demo’s dependency list.
The terminal displays initiative information and writes /tmp/empowerment-report.json. No real-world impact is measured by this command.
The source inspector above reads bundled repository material. Local commands run separately on your computer. Recorded examples may contain historical timestamps, placeholders and simulated metrics.
MAKE IT YOUR OWN
One useful experiment.
Copy mission.yaml, replace one initiative with your own measurable acceptance criterion, and run with --config. Identify the evidence you would later collect to assess it.
THE SYSTEM, MADE VISIBLE
Architecture & relationships
Architecture diagram · source preserved belowView original Mermaid source
%% Mermaid diagram for empowerment demo architecture
flowchart TD
A[Scenario Config YAML] -->|Load| B(Demo Orchestrator)
B --> C{Capability Engines}
C -->|Synthesise narrative| D[Impact Story]
C -->|Quantify| E[Projected Outcomes]
D --> F[Console Visualization]
E --> G[JSON Impact Report]
F --> H[Storytelling Assets]
G --> H
H --> I[Community Empowerment Briefings]
Confirm the active virtual environment and the selected demo’s requirements. Run python -m pip check; do not install unrelated demo requirements over a working environment.
Unexpected result or missing file
Check the selected entry point, configuration and output argument. Keep the seed and implementation fixed before comparing outcomes.
TRACE THE CHECKS
Verification & next steps
1 tracked test source files are available in this directory. Inspect the tests and their environment before choosing a suite; file counts do not establish test results.