The Role of Moderation
Maintaining Focus and Coherence
Allowing multiple AI models to interact without structure creates its own problems. Research into multi-AI conversations has demonstrated that unmoderated AI-to-AI dialogue can drift off-topic, enter reinforcing loops, or fragment into tangentially related discussions. This is similar to what happens in poorly facilitated human meetings: without someone maintaining focus, conversations meander and fail to produce actionable conclusions.
CANDID addresses this through an integrated moderator—itself an AI system—that serves a specific, limited function: ensuring that each model's contribution remains responsive to your original question and maintains consistency with the established discussion framework.
What the Moderator Does
The moderator performs three essential functions:
Relevance Verification: After each model provides a response, the moderator evaluates whether that response directly addresses the user's question or prompt. If a model begins discussing tangential topics or drifts into general commentary unrelated to the specific business question, the moderator flags this and requests a refocused response. This is analogous to a meeting facilitator saying, "That's an interesting point, but let's bring it back to the decision we're trying to make."
Consistency Maintenance: The moderator ensures that each participating model is working from the same understanding of your question and the same factual basis you've provided. If you've specified that your business will operate in a particular geographic market or regulatory environment, the moderator verifies that responses remain grounded in that context rather than wandering into irrelevant scenarios.
Discussion Flow Management: In multi-turn discussions where models respond to each other's points, the moderator prevents conversational loops—situations where two models begin reinforcing each other's reasoning or, conversely, engaging in unproductive disagreement about points peripheral to your core question. The moderator keeps the discussion moving forward toward synthesis rather than allowing it to stagnate in repetitive exchanges.
What the Moderator Does Not Do
Critically, the moderator is not a fact-checker or truth arbiter. Its role is not to determine which model is "correct" or to validate the accuracy of claims made by participating models. If a model makes a factual assertion about market size, regulatory requirements, or competitive dynamics, the moderator does not verify that assertion against external sources or override it based on its own knowledge.
This design is intentional. Your goal in using CANDID is to access diverse analytical perspectives, including their different interpretations of facts and different assumptions about uncertain variables. If the moderator suppressed viewpoints it deemed "incorrect," you would lose precisely the diversity of thought that makes multi-model analysis valuable.
The moderator's constraint is scope, not correctness. It ensures the conversation remains a structured discussion of your business question, not a meandering exploration of loosely related topics. Within that focused framework, the participating models retain full independence to reason, analyze, and conclude as their distinct architectures and training dictate.