# The Large Behavioral Model


The **Large Behavioral Model** (LBM) is Intuizi's flagship large quantitative
model (LQM), trained on de-identified, real-world behavioral signals. Every
audience you build or size, in the console, with the API, through the MCP
server, or with the CLI, is a question put to this model.

## An LQM, not an LLM

A large language model (LLM) is trained on words: it reads and writes text. A
large quantitative model (LQM) is trained on numbers: it finds the
relationships between different kinds of data and answers quantitative
questions about them. How many devices visited a coffee shop last week? Which
of them came back three times or more?

The two work well together. An AI agent connected to the
[MCP server](/mcp) takes your question in plain words and puts it to the LBM
as API calls.

## What it learns from

The LBM learns from de-identified signals of real-world behavior, such as the
places devices visit, the apps they use, and what they watch on connected TV.
Every signal comes from a permissioned partner and is de-identified before the
model sees it. The model keeps updating as new signals arrive, and each
audience is built from the date window you choose.

Each kind of signal is a [dataset](/concepts/datasets). An audience is built
from one dataset, or two combined, and filtered with ids from the
[reference catalogs](/guides/working-with-reference-data).

## How you ask it

| Your question | API | CLI | MCP tool |
| --- | --- | --- | --- |
| How many devices match? | [Estimate Audience Size](/api/v2/audiences#post-apiv2analysesaudiencesestimate) | [`audiences estimate create`](/cli/reference/audiences#estimate-create) | `estimate_audience_size` |
| Which devices are they? | [Create Audience](/api/v2/audiences#post-apiv2analysesaudiencescreate) | [`audiences create`](/cli/reference/audiences#create) | `create_audience` |
| Who else behaves like them? | [Create Lookalike Audience](/api/v2/audiences#post-apiv2analysesaudiencescreate-lookalike) | [`audiences lookalike create`](/cli/reference/audiences#lookalike-create) | `create_lookalike_audience` |
| How many were seen three times or more? | [Preview Activation](/api/v2/activations#get-apiv2analysesactivationspreview) | [`activations preview`](/cli/reference/activations#preview) | `preview_activation` |
| Deliver them to a partner | [Create Activation](/api/v2/activations#post-apiv2analysesactivationscreate) | [`activations create`](/cli/reference/activations#create) | `create_activation` |

Lookalike Models, and the frequency analysis a preview reads, require
additional permissions which need to be approved by your Account Manager.

Most answers take a while: a create returns at once, and the model finishes
the work in the background. [The Async Model](/concepts/async-model) covers
how to wait for it.