Colay / Guides
When AI discussion does not justify the extra work
A credible case for Consensus has to include situations where discussion loses. Otherwise, a successful example becomes a promotion rather than a basis for choosing a workflow. Research provides concrete counterexamples. They help frame a useful question: what does exchanging arguments add beyond several separate attempts, and what does that addition cost?
External research results and illustrative calculations are not measurements of Colay performance.
A concrete case where voting performed better
Debate or Vote, NeurIPS 2025, reports 94.00% accuracy for majority voting with five Qwen2.5-7B-Instruct agents on 300 GSM8K questions. Two-round decentralized debate scored 88.67%; five rounds scored 83.33% (Table 1). This is one research configuration, not a Colay evaluation or a universal rule. Debate or Vote, NeurIPS 2025
The gap against two-round debate is 5.33 percentage points. More discussion does not automatically mean a better result; this compares collective methods, not individual-model superiority.
A strong alternative matters more than a striking example
Smit et al., ICML 2024, found that the tested debate strategies did not reliably outperform self-consistency and other strong alternatives. Protocol tuning changed outcomes. This supports testing specific conditions, rather than rejecting discussion in every setting. Smit et al., ICML 2024
When the first answer is weak, almost any additional effort can look impressive. Compare discussion with a well-specified individual request and with separate candidates that never see one another’s answers. This helps distinguish the benefit of generating more options from the benefit of participants persuading one another to revise them.
Losing a correct objection is a distinct risk
Imagine a hypothetical cost comparison. One participant notices that the figures mix monthly and annual prices; the others treat them as directly comparable. The synthesis follows the majority and drops the unit warning. The problem is not a shortage of text: the necessary check appeared, then disappeared during agreement. Another round does not necessarily restore it.
Ask for material objections to remain visible until a source, calculation or explicit clarification resolves them. In the final answer, look for the reason an objection was rejected. Saying that participants agreed describes the conversation, rather than proving the decision. When a dispute concerns a fact, evidence should settle it instead of the confidence of the presentation.
Choose a stopping rule before you begin
Decide in advance what a sufficient result looks like. For example: all mandatory constraints are covered, the calculation is checked, disputed facts are supported by supplied material and remaining unknowns are named. Once those conditions are met, continuing solely to obtain a more confident tone has no clear value. This is a proposed workflow rule, not a built-in guarantee.
If another exchange repeats the same arguments, change the action: obtain the missing document, execute a test or consult the person who knows the fact. A new message is useful when it introduces new checkable information. Without that information, a conversation can end in agreement while the evidential basis of the decision remains exactly where it started.
Price the additional acceptable result
In a hypothetical comparison, two workflows process the same 50 requests. The first produces 40 acceptable results for 100 accounting units; the second produces 43 for 220. Three additional acceptable results cost another 120 units, or 40 each. These are illustrative arithmetic assumptions, not measured Colay costs or accuracy.
Whether that increment is worthwhile depends on the work. It might be unnecessary for an internal draft and justified for a demanding decision memo. Include human review time and the consequences of a material mistake. Keep observed outcomes separate from assumed losses: collect measurements first, then label the assumptions used to turn those observations into a spending decision.
| Measure | Workflow A | Workflow B |
|---|---|---|
| Requests | 50 | 50 |
| Acceptable results | 40 | 43 |
| Cost, accounting units | 100 | 220 |
| Incremental cost per extra result | — | 40 |
Where Consensus can still earn a role
Discussion is worth testing on work that depends on competing rationales: design decisions, conflicting requirements and choices between several workable approaches. Try a direct method first for a simple operation with an easily checked result. That sequence helps focus credit usage on tasks where discussion could materially change what you do next.
In Colay, Consensus participants discuss the task and a coordinator produces a synthesis. The mode does not turn agreement into evidence or replace external verification. Keep an ordinary answer for comparison, ask for the strongest material objection and evaluate what changed. If quality does not improve, or new errors appear, use a simpler process for that class of task.
Sources and methodology
- Debate or Vote, NeurIPS 2025
Table 1; appendix A.2.
- Smit et al., ICML 2024
Should we be going MAD? Compares debate with strong prompting and sampling baselines.
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