Scenario Agent
Outpod
AI-Powered Future Scenario Planning Engine. Transform scenario simulations into intelligence and robust strategic decisions.
7 structured steps. 4 plausible scenarios. 1 CEO-ready executive dossier.
Start AgentNot prediction. Exponential foresight.
The Outpod Scenario Agent helps you and your clients make better decisions today by testing strategy across multiple plausible futures. The goal is not to "predict the future" but to expand the decision-maker's mental model.
Final product: a complete scenario dossier with robust strategic options and monitoring indicators (weak signals) to anticipate changes.
7 Structured Steps
From decision scope to executive dossier. Each step produces specific artifacts that feed the next.
Scope
Formulation of the focal question, definition of the time horizon (1-30 years) and system boundaries: sector, geography, value chain and stakeholders.
A real decision that matters
Focal question + horizon + boundaries
2x2 Matrix: 4 Plausible Worlds
Each quadrant is a complete scenario with a strong name, central thesis and causal logic.
Multi-agent Simulation & Swarm Intelligence
Outpod operates as a new backend service, consuming outputs from the OASIS engine and GraphRAG.
Zep Cloud
Long-term memory and storage of artifacts generated at each Outpod step.
GraphRAG
Structured context (entities and relationships) for the PESTEL Exploration step.
OASIS Engine
Raw social interaction data that feeds the Experimentation (What-if) step.
LLM Client
Orchestrates calls to models (GPT-4o/Qwen) for narratives and critical analyses.
class OutpodAgent(BaseAgent):
def __init__(self, project_id: str):
self.project_id = project_id
self.zep_client = ZepToolsService()
self.steps = [
"scope", "mapping", "exploration",
"generation", "experimentation",
"action", "delivery"
]
async def run_workflow(self):
for step in self.steps:
artifact = await self.execute_step(step)
await self.zep_client.add_episode(
self.project_id, artifact
)Multi-Agent Version
5 specialized agents that collaborate to eliminate biases and increase scenario quality.
Scout
ExplorerLists drivers and trends by PESTEL, scans for weak signals in the environment.
Skeptic
AuditorHunts inconsistencies, biases and 'nice stories that don't add up'. Kahneman mode active.
Scenario Writer
NarratorWrites coherent narratives with rigorous causality. Each scenario must 'close' logically.
Stress Tester
TesterRuns what-if, extreme shocks and contradictions. Eliminates fragile scenarios.
Strategist
StrategistTranslates scenarios into robust options, conditional bets and monitoring indicators.
Not Fortune-Telling
Strict plausibility and consistency rules to ensure useful, non-fictional scenarios.
Plausibility, not probability
A 'nice' but incoherent scenario is worthless. Each narrative must be internally consistent and causally logical.
Causal narrative, not a list
Scenarios are stories with cause and effect, not collections of stacked trends.
Anti-bias (Kahneman Mode)
Automatic checking for overconfidence, tunnel vision and present-day extrapolation at every step.
Strategic Reframing
The goal is to change the decision-maker's mental model, not to 'predict 2040'. Expand the field of vision.
Final Executive Package
Everything the decision-maker needs to act with confidence in high-uncertainty environments.
CEO-Ready Summary
1 page with visual matrix and headline for each scenario. Straight to the point.
4 Mini-Narratives
Half to one page each. Causal stories of how each world materializes.
Decision Framework
No-regret moves, conditional bets with triggers and strategic hedges.
Monitoring
Measurable indicators with frequency and source. Weak signals that anticipate changes.