---
schema: 1
type: term
title: '**Rally**'
description: >-
  **Rally** is Michael Taylor's product (askrally.com) for **simulating
  audiences with language models**: you pick an audience, ask it a question or
  A/B test headlines, and read a voting tally, each persona's stated reasons,
  and a summary — a cheap, repeatable focus group.
  [^01a0f15a-e590-7f2d-8b7d-8afcf1ca33f3@244]
  [^01a0f15a-e590-7f2d-8b7d-8afcf1ca33f3@2829]
canonical: 'https://liquidgold.cc/channel/everyinc/explore/term/rally-47471b925cf7'
markdown: 'https://liquidgold.cc/channel/everyinc/explore/term/rally-47471b925cf7.md'
llms: null
parent: 'https://liquidgold.cc/channel/everyinc/llms.txt'
channel: everyinc
updated: '2026-10-23T22:12:35.346Z'
language: null
children: []
---


# \*\*Rally\*\*

Canonical: https://liquidgold.cc/channel/everyinc/explore/term/rally-47471b925cf7

Parent: [Channel index](https://liquidgold.cc/channel/everyinc/llms.txt)

## Definition

**Rally** is Michael Taylor's product (askrally.com) for **simulating audiences with language models**: you pick an audience, ask it a question or A/B test headlines, and read a voting tally, each persona's stated reasons, and a summary — a cheap, repeatable focus group. [^01a0f15a-e590-7f2d-8b7d-8afcf1ca33f3@244] [^01a0f15a-e590-7f2d-8b7d-8afcf1ca33f3@2829]

Rally appears as the concrete product built on the idea of **simulating audiences with language models**. Michael Taylor traces its origin: the entry point is roleplay — because model training data is so wide, a model can play almost any character, and the logical leap is _if it can role-play one character, why not many?_ Turning one persona into a whole batch turns a single prompt into a **focus group**, an audience you test ideas against in a **risk-free environment** before shipping anything to the real world. [^01a0f15a-e590-7f2d-8b7d-8afcf1ca33f3@244] Rally grew out of a column post called **“Personas of Thought”** — a prompt that generated relevant personas, queried each one, and filled in their answers, which Taylor then scripted to automate. The first persuasive test was an internal debate at Every over a “meta media company” vs. “multimodal media company” description — and the simulated crowd made a CEO change his mind, because each persona **gives its reasons**, not just a verdict, and unlike real feedback loops (X, sales calls, headlines), you can **rewind the clock** and re-ask “what if I'd said it differently?” as a fair A/B test. The demo shows the actual flow at askrally.com: pick an audience (Hacker News, Millennials, dog lovers in Dallas), ask it a question or A/B test email subject lines, then read the results three ways — the **voting tally**, each **individual persona's stated reasoning**, and a **summary** of the crowd's rationale. [^01a0f15a-e590-7f2d-8b7d-8afcf1ca33f3@2829] The channel holds the tool honestly: results depend heavily on **which audience you spin up** and **which question you ask**, and Taylor's own framing is “Disclaimer — this could be wrong. It's just another piece of information.” Rally is used to sharpen questions and instincts; validation still comes from real tests. The grounding for why it works: a two-hour interview transcript yields a simulated persona ~80% accurate on traits and decisions — roughly as consistent as the real person is with their own past self. [^01a0f15a-e590-7f2d-8b7d-8afcf1ca33f3@408]