---
title: "Before You Change a Price, Check the Inputs"
description: "5 source-backed AI claims from Before You Change a Price, Check the Inputs, with key statistics, context, and the original AI Adopters Club source."
url: "https://kbanc.com/claims-library/before-you-change-a-price-check-the-inputs"
source: "https://aiadopters.club/p/before-you-change-a-price-check-the"
date: "2026-11-05"
topics: ["business", "implementation", "tools"]
generated: "2026-11-06"
---

# Before You Change a Price, Check the Inputs

By Kamil Banc | November 5, 2026

## Claims

1. **Reported Time Savings** (source summary): Ted Taylor reports cutting annual pricing analysis from five days to one or two hours using ChatGPT.
2. **Manual Cross-Validation** (source summary): Taylor first validated ChatGPT's pricing work by comparing it against his own manual analysis.
3. **Manager Caught Errors** (source summary): A restaurant manager caught missing scheduling rules about adding staff during busy periods.
4. **Undisclosed Limitations** (source summary): Setup costs and error rates are not disclosed, and reported timings are not independently audited.
5. **Check Inputs First** (Kamil's interpretation): Business owners should compare supplier invoices, recipes, and fee agreements before calculating any prices with AI.

## Evidence

### Quote
> "A spreadsheet can calculate every row correctly while using an old supplier price or the wrong delivery fee." - Kamil Banc

### Key Statistics
- **5 days to 1-2 hours**: Reported reduction in annual pricing analysis time across Ted Taylor's restaurants using ChatGPT, per OpenAI's account
- **3 restaurants**: Ted and Tami Taylor run three co-branded Schlotzsky's and Cinnabon locations in New Mexico
- **2 planted mistakes**: The member exercise includes fictional source records containing two deliberate errors and a checked answer
- **15 pages**: Length of the case study, including practice source records and a printable worksheet

## Context
The article centers on a real practitioner case from OpenAI's published account of Ted Taylor, who operates three co-branded Schlotzsky's and Cinnabon restaurants in New Mexico and reportedly compressed annual pricing analysis from five days to one or two hours with ChatGPT. Kamil Banc emphasizes that the reported timings are unaudited and that setup costs and error rates are undisclosed, framing the case as a prompt for careful adoption rather than a headline claim. The practical methodology he proposes is record comparison before calculation: gather supplier invoices, recipes, and delivery-fee agreements, then ask the assistant to identify which costs are current and where records disagree. A planted-error exercise with a fictional menu item lets readers practice spotting what the assistant should flag versus what requires human verification. The member case study spans 15 pages and includes source records and a printable worksheet.

## Source
- Original: [Before You Change a Price, Check the Inputs](https://aiadopters.club/p/before-you-change-a-price-check-the)
- Cite: kbanc.com/claims-library/before-you-change-a-price-check-the-inputs

## Primary Evidence
- [earlier profile](https://academy.openai.com/public/blogs/ted-tami-taylor-chatgpt-new-mexico-restaurants) (academy.openai.com; supports claims 1, 2, 3)
