I ran 7 Claude Code instances as an adversarial research collective
The article discusses a methodology for conducting adversarial research using multiple Claude Code instances. Seven instances work independently on different aspects of a domain, while an auditor monitors their findings and ensures quality control. This approach aims to improve research accuracy and notification discipline by preventing biases and ensuring traceability of claims.
- ▪Seven Claude Code instances operate independently, each researching a different angle of the same domain.
- ▪An auditor instance verifies findings and applies a strict bias checklist, ensuring meaningful cross-instance agreement.
- ▪The methodology includes a notification framework that limits alerts to significant findings, enhancing research efficiency.
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The setup, in 60 secondsSeven Claude Code instances, running in parallel, each researching a different angle of the same domain. One additional Claude instance acted as the "auditor" — it ran a cron job every 10 minutes, scanned all seven workspaces, applied a strict 8-item adversarial bias checklist to every CONFIRMED verdict, and only sent me a push notification when a finding crossed a real bar.Critical rule: the seven quants never read each other's workspaces. Cross-instance agreement only happened through the auditor's verification.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at The Adversarial Auditor.
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