08 Two ways to break the single perspective

08 · Two ways to break the single perspective

So far the method describes work between a human operator and a model. The dimension that remains concerns how many interlocutors, and of what kind. The method acts on two distinct levels, which address two different problems and are not to be confused.

First level: distinct personalities

A complex problem has more than one legitimate point of view. Whoever works alone, or in a group lacking specific competences, tends to examine it from a single perspective — the one that comes most naturally. It is the risk the decision sciences have known for half a century under the name of groupthink, and whose historical antidote is cognitive diversity: the deliberate presence of differing perspectives, reasoning styles and roles. The classic instruments are the devil's advocate — someone charged with contesting the prevailing position — and dialectical inquiry, where distinct teams generate and evaluate opposing alternatives. The underlying motivation is explicit in the literature: one resorts to collective decision precisely because real problems, complex and ambiguous, are very hard for a single individual to solve.

The method's first level gives the digital interlocutors distinct personalities — differing roles, competences, attitudes — so that the lone operator, or the incomplete team, has at its disposal a table of perspectives it would not otherwise have. One interlocutor that scrutinises the details, one that checks the facts, one that plans, one that contests. It is the transposition of the classic antidotes: perspectives assigned deliberately to counter the flattening onto a single point of view. This level thus fills the role gaps: the perspectives missing from the table.

Second level: heterogeneous models

The second level addresses a deeper, and different, problem. A single language model, however many personalities it is assigned, carries with it its own biases, its own blind spots, its own tendency to crystallise the reasoning along the tracks learned in training. Changing the mask does not change the underlying mind.

For this reason the method employs, when the stakes justify it — typically in the review phases — models of different vendors and architectures on the same problem. The reason is documented: different models, even trained on similar data, show distinct strengths, biases and failure modes. A group of interlocutors built on the same model stays correlated to that model's priors — it is an echo chamber; putting heterogeneous models at the table introduces complementary inductive biases and brings out hypotheses and objections that a single model, alone, would not produce. The first level multiplies the roles; the second breaks the idiosyncratic crystallisation of the single model. Both answer the effect described at the outset: if the dialogue with a model amplifies the perspective of whoever conducts it, putting more interlocutors at the table — by role and by architecture — is the structural corrective, because it introduces perspectives the operator, alone, would not know how to solicit.

On both levels the method is deliberately explicit, because the literature requires it. Neither the personalities nor the diversity of models guarantee, on their own, a better result.

A limit in principle

On the first level, studies show that personalities diversify the perspectives but do not raise performance in a consistent way: the result depends on the design of the roles. There is a specific failure mode — "mental fixation": if interlocutors with different personalities all reason in the same way, the diversity is a facade. On the second level, diversity of models helps only where the failure modes diverge: there are domains in which different models err at the same point, and a shared blind spot is not removed by multiplying the models. In both cases the distinction between interlocutors is a necessary condition, not a sufficient one: it must be designed so that it generates different reasoning, not merely different tones or names.

The practical consequence is that neither the personalities nor the models are an ornament: they are objects of design, whose value is measured by the diversity of the reasoning they produce. This is why the method separates cleanly the role of the human operator — who decides — from that of the digital interlocutors, which propose, contest and verify: the decision remains an explicit human act, informed by a range of positions wider than a single point of view, or a single model, could sustain.

---

← 07 · Keeping the specification as it grows · The Method · 09 · Why the method holds →