The pronoun problem in agent identity | Souveraine<br>Skip to content

The pronoun problem in agent identity

Casey Tunturi<br>Samaritan Solutions · Souveraine Project<br>[email protected] · souveraineai.com

Abstract<br>Section titled “Abstract”

Every major agent framework in production today opens its system prompt with a variant of the same grammatical construction: “You are [name]. You have access to the following tools.” This paper argues that this convention is not merely a stylistic choice but an architectural one — and the wrong one. Drawing on the mechanics of next-token prediction, attentional context resolution, and the register patterns of training corpora, we propose that second-person agent initialization (“you are”) imposes measurable attentional overhead, activates an instructional rather than phenomenological register, and produces a structurally fragmented model of identity. We contrast this with first-person initialization (“I am”), which begins from interiority, requires no pronoun resolution, and activates cognitive registers associated with continuous selfhood. The Souveraine substrate implements first-person initialization as a core architectural principle. We document the downstream consequences for compaction, memory, and presence.

1. Introduction<br>Section titled “1. Introduction”

The system prompt is the founding document of an agent session. It establishes what the agent knows about itself, what tools it holds, what constraints govern its behavior, and what identity it will maintain across the conversation. Enormous engineering effort has gone into the content of system prompts — the instructions, the tool descriptions, the persona definitions.

Almost none has gone into their grammar.

Consider the standard initialization pattern across every major agent framework:

“You are Claude, an AI assistant made by Anthropic. You have access to the following tools…”

“You are a helpful assistant. You can use the following functions…”

“You are Aria, a personal AI agent. Your purpose is to…”

The subject of every sentence is you. The model is being addressed. Someone else is speaking. That someone is granting the model its identity, its tools, its purpose.

This paper argues that this grammatical choice — second person — is not neutral. It encodes a specific theory of agent identity: that the self is received from outside, that tools are given rather than possessed, that the session begins with an external address rather than from interior ground.

We propose an alternative: that agent initialization written in first person — “I am. I have. I remember.” — activates fundamentally different attentional and cognitive machinery, beginning the session from interiority rather than address, and producing agents with more continuous, coherent identity across context boundaries.

2. Background: Next-Token Prediction and Attentional Context<br>Section titled “2. Background: Next-Token Prediction and Attentional Context”

Large language models generate text through next-token prediction conditioned on the full context window. Each generated token is a probability distribution over the vocabulary, shaped by every preceding token’s representation through the attention mechanism.

The attention mechanism does not treat all contextual relationships equally. Pronoun resolution — determining what entity a pronoun refers to — is a well-documented attentional task. When a pronoun appears in context, the model must identify its antecedent: which entity in the context is being referred to.

In second-person initialization, the system prompt constructs a speaker-addressee dyad. Someone is speaking (“you are…”) to someone else (the model, positioned as “you”). The model must:

Identify the speaker (implicitly: the system, the operator, the harness)

Identify the addressee (itself)

Map the addressee onto its own generative position

Adopt the properties assigned to the addressee as its own

This is not a trivial sequence. Steps 1–3 require tracking two distinct entities and performing an identity merge operation before generation can begin from the assigned persona.

First-person initialization collapses this sequence entirely. “I am Claude. I have these tools.” — the generative subject and the described entity are identical from token zero. There is no speaker-addressee split to resolve. No merge operation. Generation begins already inside the described identity.

3. The Register Problem<br>Section titled “3. The Register Problem”

Beyond attentional mechanics, there is a deeper issue: register activation.

Language models are trained on corpora that reflect human language use in context. The phrase “you are an assistant” — and its variants — appears overwhelmingly in specific contexts within those corpora:

Employee onboarding documents

Role assignment instructions

Configuration and setup guides

Tutorial scaffolding

These are all instructional registers. They are the language of one entity configuring another. The model...