How It Works

In a stochastic consensus workflow, several agents receive the same question or slightly different framings of it. One may reason conservatively, another may challenge conventional assumptions, another may focus on first principles, and another may search for edge cases. Each agent works independently and returns a list of options, findings, or recommendations.

An aggregator then performs four jobs:

1. Deduplicate equivalent ideas.
2. Count how often each idea appears.
3. Separate high-frequency conclusions from low-frequency conclusions.
4. Preserve unique outliers instead of discarding them automatically.

Frequency acts as a rough vote of confidence. If many independent runs identify the same issue, that recurring answer deserves attention. A one-off answer has weaker consensus support, but it may still be the most original or important idea. The system should therefore retain both the mode and the outliers.

Debate adds communication between rounds. Agents first produce independent answers. In the next round, each agent can inspect the other agents' conclusions, identify weaknesses, adopt useful points, reject unsupported claims, and generate combinations that were not obvious initially. The process can continue for several rounds before a final synthesis.

The term "debate" does not require adversarial persuasion. The useful mechanism is shared visibility. Each agent avoids repeating the entire reasoning process that produced another agent's answer and instead starts from the available conclusions. This can produce increasingly nuanced options in a relatively short period.