Consumer Dividends Consumer Dividends
Resources

Insightful resources for the Consumer Dividends professional, free of charge to keep forever.

We publish resources for people carrying the work of a whole team on their own. Everything on this page costs nothing, asks for no email, and creates no account. Resources like these are an aspect of our devotion to our Core Four principles.

The Field Guide Open datasets

The four things we hold to, and the reason anything here is free.

Explore our Core Four principles

Reading and writing

Free guide

The AI Slop Field Guide

How to spot language-model writing, and how to stop producing it.

More than half of what you read online started as model output. This teaches you to recognize it by four mechanics: word choice, sentence structure, paragraph shape, and argumentation. If someone is asking for your attention or your money on the strength of their thinking, you should be able to tell whether the thinking is theirs.

  • Four categories of word choice that show up disproportionately in generated text
  • Six sentence patterns models fall into, and why the process produces them
  • Paragraph and argument tells, including the ones that survive a careful edit
  • A sixty-second scan for vetting any piece of writing, including your own drafts
  • A prompt you can paste in to stop a model from producing it
Freeno email, no signup
Read the guide Download the PDF

Open datasets

Two synthetic conversation datasets, published open on Hugging Face for anyone training or evaluating a model in these domains. Every record is generated, so none of it is real people or real matters, and every record passed a 1.0 quality gate before publication. Released under CC BY-NC 4.0.

Open dataset

HR Conflict Dataset

500 labeled workplace-dispute conversations.

Synthetic dialogue covering workplace conflict and dispute scenarios, with the distribution anchored to published EEOC charge data and Bureau of Labor Statistics wage figures rather than invented from nothing. Built for anyone training or evaluating a model on employment-relations language.

  • 500 records, labeled, with a dataset viewer
  • Distribution anchored to EEOC charge patterns
  • Wage figures anchored to BLS published data
  • Fully synthetic, no real matters and no real people
FreeCC BY-NC 4.0
View on Hugging Face
Open dataset

Customer Churn Dataset

500 labeled retention and cancellation conversations.

Synthetic dialogue covering the conversations that happen when a customer is deciding whether to stay, anchored to published Recurly and ProfitWell retention benchmarks. Built for anyone training or evaluating a model on retention and customer-success language.

  • 500 records, labeled, with a dataset viewer
  • Distribution anchored to published retention benchmarks
  • Fully synthetic, no real customers and no real accounts
FreeCC BY-NC 4.0
View on Hugging Face

Everything we have published is on the Consumer Dividends Hugging Face profile.

We build the same way we publish.

These are free because the people we build for rarely have a budget for the thing that would help them most. What we sell holds to the same standard this page does: take a position, show the number, and let someone check the work.

See Numidian See Holdings