How to use Claude to build a resource disruption study

The author used Claude Code as an orchestration layer for research into resource disruptions associated with the 2026 Iran War. Rather than starting with political commentary, they describe organizing the analysis around physical constraints: production, shipping routes, and consequences when supplies go offline.

Parallel research agents were deployed for individual resources and countries. Each produced a self-contained deep dive with sourced data. Cascade models then identified how disruptions could compound across domains simultaneously. The author says the research drew on major news outlets, think tanks, and government reports from February and March 2026.

The resulting material was organized using an “Agentic Brain” knowledge architecture. A CLAUDE.md file documented how 76 files were organized and interconnected. The author made the research available through NotebookLM, a browsable site, and a source repository, allowing readers to chat with or inspect it.

The post presents conclusions about chips, food, energy, and insurance as findings of this research. It does not describe independent validation of those conclusions or a human source-checking process. The supported outcome here is the assembled, accessible research project, rather than confirmation of its forecasts.

Who it's for: Researchers exploring interconnected resource constraints who want an organized corpus they can inspect and query.

Prompt
Suggested prompt (written by Agents In Use, not the author's)

Source: Hacker News · hrishirc