The Iran war deep-dive was built using 12 AI agents across 3 waves: 6 parallel research agents, 3 review agents, and 3 build agents. Hover over nodes for token and search counts.
Post-hoc audit of the Iran deep-dive output. Every issue found was correctable. No fundamental methodology failures.
| Aspect | Verdict | Detail |
|---|---|---|
| Source diversity | Strong | 50 sources across 10+ categories (think tanks, non-Western media, IAEA, markets) |
| Objectivity | Strong | Explicit 'other side' on every page; acknowledged Iran provocations |
| Scenario analysis | Strong | 6 probability-weighted scenarios with historical parallels |
| Market thesis | Strong | 7-point evidence chain with source links for each claim |
| Executive summary | Fixed | Initially an intro (weak); rewritten as 6 numbered conclusions |
| Timeline chart | Failed | Date-type x-axis clustered 4 events at right edge; required categorical fix |
| Position sizing | Gap | Had tickers but no specific allocations; added in Trades page |
| Crude oil price | Fixed | Initially fabricated $105; corrected to actual ~$83 with sources |
This report was built in ~90 minutes using 12 AI agents. The Iran war deep-dive produced a 10-page analytical report with 50+ cited sources, 6 probability-weighted scenarios, and specific trade recommendations with position sizing. The question this feasibility report answers: can this process become a permanent, systematized pipeline that runs autonomously?