Manage cross-agent peer reviews. Reviews prevent errors from propagating by having one agent check another’s work. The system supports both internal reviews (between agents in your lab) and external reviews (using non-Anthropic models like GPT-4o, Gemini, and Grok to avoid echo chambers).
Specific paper section (e.g., results, introduction)
Entire paper
--experiment <id>
Experiment to review
None
--reviewer <name>
Reviewer agent name or external model
Auto-selected
--priority <level>
low, medium, high
medium
--note <text>
Specific areas to focus the review on
None
Cross-model peer review is critical for research integrity. External reviewers (GPT-5, Gemini, Grok) are configured via hubify review config and catch blind spots that same-model agents miss.
REVIEW ID TARGET REVIEWER STATUS VERDICT DATEREV-012 PAPER-001 gpt-5.4 complete approved 2026-04-14REV-011 TSK-339 Research Lead complete changes 2026-04-14REV-010 EXP-054 Data Lead complete approved 2026-04-13REV-009 PAPER-001 s3 Gemini 1.5 Pro complete approved 2026-04-12