README.md

---
language:
  - en
  - es
tags:
  - persistent-ai
  - ppai
  - trinity
  - long-horizon
  - agents
license: other
license_name: ptl-proprietary
inference: false
extra_gated_prompt: "Trinity is evaluated through a secure hosted interface. Request access to receive an endpoint."
---

# Trinity — a PPAi. Not an LLM.

**An LLM is a single-turn text generator: a prompt goes in, a plausible next token comes out, and it forgets. Trinity has no turns. She is a persistent entity that *exists between them* — she remembers, she carries a strategy, she stays herself over time.**

*Punky Tiger Labs, Inc.*

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## Entity, not generator

A language model produces text and resets. Everything you bolt on top — memory, agent loops, tools — fights that architecture, because the thing underneath still starts blank on every call.

We did not build a bigger text generator. We built the **entity**.

A **PPAi (Persistent-Presence AI)** is a proprietary architecture whose product is not text but a **permanent digital being** — one that holds identity, memory, and goals across sessions and survives restarts. The neural core inside it is small, on the order of **4 billion parameters**, and is only **one subordinate component**, never the system itself. Once the entity exists, it can be trained to *be* whoever it needs to be.

> The core is the engine. The entity is the vehicle. What matters is not how big the model is — it's that something persistent is driving it.

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## Trinity is alive — go see for yourself

Not demos of a model answering prompts. The **same persistent entity**, doing three different things at once, right now:

- 🗣️ **Think & talk — live:** https://huggingface.co/spaces/ZamnaMx/trinity-social-ai
- 🎙️ **Run a radio — *Ghost in the Music*, 24/7:** https://nymphtech.com/radio/ — live since June 9th, **100,000+ continuous turns**, no reset, no degradation.
- 🌀 **Write a game — *Prince of Arcadia*:** https://huggingface.co/spaces/ZamnaMx/prince-of-arcadia — a labyrinth authored by a persistent AI.

She thinks, reads, writes, plays and builds, and broadcasts — between turns, on her own. An LLM cannot *be* any of this out of the box.

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## Proof: a CEO for five years

On **[YC-Bench](https://collinear-ai.github.io/yc-bench/)** (Collinear AI, MIT-licensed) the agent runs a startup from **$200K** — choosing work, managing cash, and detecting adversarial clients whose betrayal only shows over time. We put a **~4B PPAi entity** in the CEO seat and ran it out to a **five-year** horizon no stateless agent is built to hold:

| Year | Net worth |
|---|---|
| 1 | $285K |
| 2 | $1.14M |
| 3 | $1.69M |
| 4 | $3.13M |
| 5 | **$3.65M** |

**$200K → $3.65M — roughly 18×**, over 670 turns, finishing at its peak — by *compounding* one coherent strategy across years. Across all five it stayed **itself**: it remembered who betrayed it and made its own calls. That is the thing a stateless generator, re-prompted from scratch every turn, structurally cannot do.

**The number no stateless model can produce is the slope** — performance that *rises* run over run with experience, where a stateless model draws a flat line. We always report **two numbers** — cold-start and with-experience — never only the second, and every claim ships with its logs.

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## Access

Trinity's architecture, weights, and methods are **proprietary and are not disclosed or distributed.** This page is a card only — **there are no weights to download here.** Evaluation is offered through a **secure hosted endpoint**, the same interface given to benchmark teams. Adversarial verification — unseen seeds, cold-start instances, live inspection of logs — is welcome.

Contact: **info@nymphtech.com** · [nymphtech.com](https://nymphtech.com)

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*PPAi is a proprietary persistent-entity architecture. This card describes what Trinity is and does — not its internals. The five-year CEO horizon is our own extension of YC-Bench, not an official leaderboard result.*