Lord1Egypt Scenario Forecaster
Stop guessing. Start forecasting. Let AI systematically map every possible future path and give you a tailored action checklist.
Core Capabilities
| Feature | Description |
|---|---|
| Multi-source data | News, academic papers, social media sentiment, government reports |
| Cross-validation | Verify facts across 2+ independent sources with confidence ratings |
| PESTEL analysis | Structured driver identification across 6 dimensions |
| Scenario mapping | Generate 3-5 logically self-consistent future paths |
| Probability assessment | Bayesian-informed probability estimates per scenario |
| Role-based recommendations | Tailored do/don't lists for investors, managers, policymakers |
Execution Protocol
- Collect - Gather information from 5 source types
- Validate - Cross-check facts, rate confidence
- Analyze - Identify drivers using PESTEL framework
- Map scenarios - Build paths with triggers and milestones
- Assess probability - Assign Bayesian-informed estimates
- Recommend - Generate role-specific action checklists
Input Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
| event_description | string | required | Event or topic to forecast |
| time_horizon | string | 6 months | Forecast period |
| focus_dimensions | list | Economic, Political, Technological | PESTEL dimensions |
| num_paths | int | 3 | Number of scenario paths (3-5) |
Quick Start
Forecast: Impact of Fed rate cuts over 6 months on global tech stocks.
Focus: Economic and Technological dimensions.
Full example in examples/output_fed_rate.md.