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Running
title: Programme World Model
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short_description: Evidence-grounded AI for complex programmes
Programme World Model
A research and engineering project by Bruno Chikeka, exploring evidence-grounded AI for complex programmes.
This Space presents the project’s approach, current implementation and research limits. It is a static overview, not a trained forecasting model or an interactive simulation service.
The current implementation includes a public-report evidence pipeline, a versioned SQLite index, resumable acquisition, source-review and reconciliation records, backup/restore, and a separate synthetic simulation kernel.
The initial pilot covers 15 implementation reports for World Bank project P126507. It retains original document hashes and cited observations. Source coverage, historical availability and independent extraction accuracy remain under investigation. No model is empirically calibrated.
Only this overview is published here. The implementation repository and source corpus are not included in this Space.
Profile: https://huggingface.co/Chikeka