Synthetic Research: The Secret Ingredient is People

October 31, 2025

Ask Rally evolved its AI research tool from purely generative models to a system grounded in real human data. Facing issues like AI-sounding responses, bias, and a lack of nuanced preferences, they refined AI personas using diverse data and real human examples. Key developments include "survey boosting" and "GenPop," a virtual panel built on authentic human interviews. This approach ensures realistic responses, reduces hallucinations, and makes market research more accessible and insightful. Real people are the "secret ingredient" for authentic AI personas.

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I Fed My AI Personas a Critic's Post, Then My Article. Here's What Happened to Their Buying Intent.

October 15, 2025

It's possible to feed AI personas different pieces of content to measure how exposure to competing narratives shifts purchase intent in real time.

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From Zero to Virtual Panel: A Practical Guide to Building AI Audiences

October 13, 2025

Most teams overcomplicate audience building by starting at the wrong level of sophistication. This guide reframes the problem—showing how AI personas can evolve from quick prototypes to calibrated virtual panels that explore real conversational realities, not predict behavior.

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What Focus Groups Are Really Telling You (It's Not Whether People Will Buy)

October 06, 2025

When AI personas fail to predict consumer behavior, it’s not because the models are broken, it’s because we’re asking them to do something humans can’t even do for themselves. The real value isn’t in predicting what people *will* do, but in understanding how they *talk* about what they might — because that’s where decisions, and markets, are actually made.

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Uploading Audience Data to Another Users's AskRally Account Via API: A Tactical Guide

October 06, 2025

A technical deep-dive showing how to automate audience uploads to AskRally using its API instead of manually editing JSON files. This guide walks developers and agencies through a reliable two-step process to create and update audiences programmatically across multiple AskRally accounts.

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The Evaluator–Optimizer Pattern in DSPy with GEPA

October 06, 2025

At the London Agentic AI Meetup, Mike Taylor showcased how to train an **LLM-as-a-Judge** and use it to optimize creative generative tasks through the **Evaluator–Optimizer pattern in DSPy**. His live demo built a *comedian AI* that learns to tell better jokes using **GEPA evolutionary optimization**, illustrating how to systematically create, evaluate, and improve AI programs.

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DSPy Primer by Mike Taylor

September 29, 2025

Listen to this behind the scenes impromptu training between Mike and the Every.to team. Mike gives an introduction to the DSPY framework.

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Case Study: Good Innovation

September 29, 2025

Good Innovation overcame the constraints of small budgets and limited sample sizes by integrating AskRally into their research process, scaling validation from a handful of interviews to 100+ participants. This hybrid approach has accelerated timelines, cut costs, and given UK charities more confident insights to guide innovation.

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How to Use Base Memories in AskRally

September 29, 2025

Give your AI personas personalized memory without the manual setup hassle.

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