Omar Sar deploys multi-agent council on Raft

Single-agent workflows are inherently flawed due to self-grading biases; agentic frameworks must prioritize multi-model agent teams with adversarial critic roles to achieve true research reliability.

• –**Diverse Models Eliminate Shared Blind Spots**: Running the critic agent on a different LLM than the scout agent ensures independent review and prevents reinforcement of the same cognitive biases.
• –**The Power of Disagreement**: The critic agent's main value is catching overreaching or inflated results before they reach human review, saving time and improving quality.
• –**Human-in-the-Loop Collaboration**: Treating agents as persistent teammates with markdown reports and inline feedback fosters a collaborative, review-and-revise workflow.
• –**Set-and-Forget Automation**: Scheduling recurring runs allows research tasks to compound daily without active user babysitting.