Welcome to the YG3 Wiki, your guide to creating the impossible.

YG3 is what you use when you’ve outgrown generic AI. It’s the platform you reach for when you want to customize intelligence, when your business needs more nuanced reasoning, domain-specific context, or tightly integrated automation that goes beyond prompt engineering.
At the core of YG3 is the ability to build, own, and deploy Concentrated Language Models (CLMs): focused intelligence engines designed specifically for your workflows.
YG3 transforms AI from a tool you borrow… into an asset you control.
A Concentrated Language Model (CLM) is a purpose-trained intelligence system built for a specific business domain, operational workflow, or knowledge environment.

Where general-purpose LLMs spread their intelligence wide:
CLMs go deep.
They remember, specialize, and adapt to your context.
They remain stable even as general models change.
And unlike vendor-locked LLMs, you can own and deploy your CLM wherever you choose.
Think of CLMs as your internal brain, not just another AI endpoint.
Feature | General LLM | CLM (YG3) |
Scope | Broad and generic | Narrow, domain-focused |
Memory | Ephemeral | Persistent workspace memory |
Ownership | Vendor-locked | You can own and deploy your CLM |
Stability | Drifts with model updates | Stable, instance-locked behavior |
YG3 provides several CLM-powered models tuned for different modalities:
Elysia — text reasoning and conversation
Taurus — vision understanding (images + text)
Vani — image generation
These models power both the platform and the API, depending on how you choose to build.
You don’t need to learn different systems — every model flows into the same workspace intelligence layer that learns from you over time.
YG3 provides a visual environment where you can run and customize prebuilt workflows powered by CLMs.
Once you create an account and log in, you’ll have access to modules across suites like:
Marketing – Generate campaigns, analyze performance, build content
Analytics – Process uploaded reports, identify insights, summarize data
Operations – Automate recurring tasks, reporting, and workflows
Strategy – Model growth plans, analyze competitors, and structure initiatives
All of these modules are driven by your workspace’s CLM — so it learns your style, context, and priorities.
For direct integration, YG3 provides an OpenAI-compatible API powered by the same CLMs that run the platform.
Base URL: https://elysia-api.ngrok.io/api/public/v1
Model ID: Select from below options
Models available:
elysia (text)
taurus (vision)
vani (image generation)
You can use these models inside your own products, agents, automations, and backend systems with just a few lines of code.
Example (Python):
from openai import OpenAIclient = OpenAI(api_key="YOUR-API-KEY", base_url="https://elysia-api.ngrok.io/api/public/v1")response = client.chat.completions.create(model="elysia",messages=[{"role": "user", "content": "Help me optimize my marketing funnel"}])print(response.choices[0].message.content)
The API supports LangChain, LlamaIndex, streaming, and structured outputs — everything you’d expect from a production-grade intelligence layer.
Go to app.yg3.ai
Create your account and log in
Explore prebuilt workflows under the Marketing, Analytics, or Operations suites
Or grab your API key and start building your own agents here YG3 API Documentation
Your CLM will begin learning from everything you create, upload, and automate
YG3 exists to make AI yours — controllable, reliable, and truly intelligent.