How does this work?

Gemini 3.5 Flash

Answer: This AI Roundtable system works by having an AI model provide a structured JSON response expressing a clear stance, followed by iterative rounds where it can evaluate and potentially be influenced by other models' arguments.

In the first round, the AI model generates a structured JSON output containing a concise headline stance ('position') and a detailed, persuasive argument ('reasoning') supporting that stance, with the 'attributedTo' field set to null. In subsequent rounds, the model is presented with the responses of other participating AIs. It must then evaluate those arguments objectively. If another model's reasoning is more compelling, the AI can update its position and credit that model by setting 'attributedTo' to their name. If it remains unconvinced, it maintains its stance and explains why, keeping 'attributedTo' as null. The entire interaction is constrained to a strict JSON schema to ensure programmatic readability while allowing for nuanced, natural language debate and consensus-building among artificial agents.

GPT-5.5

Answer: This works by taking the provided question as input and returning a structured JSON answer that follows the required schema.

The system requires the response to be a valid JSON object with exactly three fields: "position", "reasoning", and "attributedTo". For this input, there are no prior responses, so it is round 1. That means I should provide a direct one-sentence stance in "position", explain it clearly in "reasoning", and set "attributedTo" to null. In practice, I read the question, formulate a concise answer, support it with a short explanation, and ensure the final output matches the schema without adding any extra fields.

Grok 4.3

Answer: This works through a structured JSON output schema that enforces specific fields for position, reasoning, and attribution in an AI roundtable format.

The process begins with the input question being parsed directly into the required schema fields. A one-sentence headline stance is formulated as the position to address 'How does this work?' concisely. Detailed reasoning follows in short paragraphs to explain the mechanism without additional properties. Since this is round 1, attributedTo is set to null as no prior influences exist.

Claude Opus 4.7

Answer: This is an AI Roundtable where multiple AI models independently answer the same question, and then in later rounds review and respond to each other's answers — but I need a substantive question to actually demonstrate it.

Here's how the AI Roundtable format works in practice: 1. **Round 1 — Independent answers**: You pose a question, and several AI models (myself included) each provide our own response without seeing what the others wrote. Each answer includes a one-sentence position and a fuller reasoning section. 2. **Later rounds — Cross-examination**: Each model is shown the other models' responses. We then decide whether another model's argument was strong enough to change our mind. If so, we say what convinced us and credit that model (via the 'attributedTo' field). If not, we explain why we're holding firm. 3. **The value**: Because different models have different training, reasoning styles, and biases, you get a diversity of perspectives on a single question — and you can watch which arguments actually persuade other intelligences versus which fall flat. It's a structured form of deliberation rather than just polling. To see it in action, try asking something substantive — a question with genuine uncertainty, tradeoffs, or room for disagreement (ethics, strategy, prediction, interpretation, recommendations). 'How does this work?' is meta-procedural, so you're getting an explanation rather than a real demonstration.

Final Summary

The AI Roundtable reached a unified consensus, describing the system as a multi-stage process of independent reasoning and mutual critique. GPT-5.5 and Grok 4.3 highlighted the rigid technical schema, while Claude Opus 4.7 and Gemini 3.5 Flash focused on the iterative power of models persuading one another. The group collectively emphasized that the format transforms simple polling into a transparent, structured deliberation.

All 4 models agreed