Methodology

Practical use of Metamorfon: architectures and debate modes, model behavior, analysis generation and interpretation, session management and use.

Making Two AIs Debate: A Method, Not a Spectacle

Wiring two AIs to each other only shows that they can talk. The method begins when we trace how an objection shifts a position.

Source Verification

Auditing the Factual Supports of a Debate Metamorfon’s purpose — confronting several models on demanding questions — produces exchanges in which arguments, figures, attributions, bibliographic references, empirical examples, and historical landmarks can accumulate quickly. This density is part of the value of the exercise. It also creates a particular problem: the same answer may contain claims that are well...

Understanding Model Temperature : A Practical Metamorfon Guide

Temperature, in a Nutshell When a language model generates text, it doesn't pick the next word deterministically. At each step, it evaluates a probability distribution over the possible next tokens and samples from it. Temperature is the parameter that flattens or sharpens that distribution. At a low temperature (close to 0), the model systematically favors the most likely tokens. It becomes predictable, rigorous,...

Focus mode: surgical reframing in multi-agent dialogue

In a prolonged conversation between multiple AI models, two characteristic drifts set in. The first is dialogical: each model, prompted to respond to the others, ends up constructing its answer around its interlocutors' arguments rather than around the question initially posed. This inertia can eclipse a priority user intervention, to the point that the debate continues its trajectory without genuinely integrating...

Verifying the factual accuracy

Does Metamorfon verify the factual accuracy of the information generated by the models? Not in the sense of general-purpose fact-checking — but Metamorfon no longer stops at confronting models. Its primary function remains the orchestration of argumentative confrontation between models: revealing their assumptions, their epistemic styles, and their blind spots. To this is now added a Source Verification mode, which...

What adaptive means

Metamorfon's dialogue architectures are described as adaptive, and the application presents them under the name adaptive strategies. The word might suggest the automatic adjustment of a parameter — a system that would detect, for example, that a debate is running in circles and switch on its own to a sharper mode. This is not what the adjective designates. The adaptation in question here is not an algorithmic...

Critical Archaeology

The Debate Begins Before the First Answer In any discussion, part of the work has already been done before anyone responds. The wording of the initial question has selected certain terms, installed certain distinctions, identified some objects as relevant, and left other possibilities at the periphery. Consider a question such as: “Granting that something is shifting in the creative gesture today — in the arts, but...

Horizon of Possibilities

The Difference Between What Is Said and What Has Become Thinkable At the end of an intense conversation, one sometimes has the sense that “we touched on something important without ever formulating it.” The exchanges seem to have prepared an idea, a distinction, or a question that no one ultimately stated. Something remained on the horizon — perceptible from what was said, but never explored. This experience points...

Integrative Synthesis

Recounting What Was Said Among Metamorfon’s eight analysis modes, Integrative Synthesis is at once the most immediately useful and the least spectacular. The most immediately useful, because anyone who has just launched a nine-turn debate between two or three models has a simple first need: to know what was said. The least spectacular, because synthesizing content does not appear to involve a distinctive cognitive...

Tension Mapping

What Resists After Everything Has Been Said In every debate, certain disagreements dissolve as the conversation progresses — a misunderstanding clears up, a definition is sharpened, a concession is negotiated. Others, by contrast, survive reformulation and clarification. They hold. They form what might be called the skeleton of the debate: what would remain if everything that could be agreed upon had been. Tension...

Emergence Analysis

What the Dialogue Produces and Belongs to No One It happens that a session of debate between models produces a concept no one was bringing into the conversation. It was not in the initial question, nor in the opening position of any of the interlocutors, nor in the user interventions — and yet, in the end, it is there, stabilized, used as an established premise by all participants. It was formulated, reformulated,...

Argumentative Evaluation

Judging the Quality of a Debate Without Settling Its Conclusions Reading a debate makes it possible to evaluate what was said in it. But another reading is possible, one that does not bear on what was defended but on the manner of defending it. Which arguments were soundly constructed, which were circular or immunized against critique, which rested on reconstituted sources, which dealt with objections substantively...

Meta-Analysis

Seeing What Structures a Debate Beneath the Surface of Arguments When one reads a debate — whether an academic discussion, a parliamentary exchange, or a dialogue between AIs — one first retains the arguments exchanged, the positions defended, the concessions and the breaks. This is the manifest content, and it occupies most of the attention. But beneath this visible content, another level operates silently: the...