New AI-powered puppy KPIs: Key Potty Indicators

4 hours ago 9

Oliver the puppy

Oliver the puppy Alistair Barr/Business Insider

A recent AI experiment involved feeding weeks of handwritten puppy potty logs into ChatGPT. My wife and I tracked every pee, poop, walk, and accident for our puppy Oliver, creating a new breed of KPI: Key Potty Indicators.

ChatGPT extracted the data from our scribbled notes and turned it into a fully formatted CSV file. Then it went to town charting the heck out of these KPIs.

It came up with a host of fancy metrics, including ARR (Accident Reduction Rate), LTV (Longest Time Void-free), PTP (Poop-to-Pee) ratio, WAF (Weekly Accident-Free) rate, and DPV (Daily Potty Volume).

This chart was useful, showing how accidents correlate with how often we walk Oliver.

A chart showing trends in puppy potty training data

A chart showing trends in puppy potty training data  Alistair Barr/ChatGPT

And the AI analysis found that accidents weren't random. They clustered in two predictable windows: midday (roughly noon to 3 pm) and late evening (8 pm to 10 pm), often following meals, naps, or play sessions.

The biggest takeaway: Success comes from reducing the gap between "need to go" and "opportunity to go." According to Oliver's KPI dashboard, consistency beats discipline, every accident is a training opportunity, and our puppy is becoming increasingly forecastable.

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Alistair Barr is the author of Business Insider's Tech Memo newsletter. Sign up here. Before that, he was BI's Global Tech Editor and the Big Tech team leader at Bloomberg, following a reporting career at The Wall Street Journal, USA Today, Reuters, and MarketWatch. Alistair won a Gerald Loeb Award in 2007 for coverage of short selling and was a finalist in 2013 for scoops on the Facebook IPO. More recently, he won a 2024 San Francisco Press Club award for commentary. Got a tip? Reach out using the secure messaging app Signal (+1 415-341-4927) or via email on [email protected].ExpertiseAlistair oversees all things Big Tech, along with startups and venture capital. He writes analysis and columns about topics including generative AI, large language models, cloud computing, semiconductors, online search, e-commerce, EVs, robotics, and autonomous vehicles.Popular StoriesArtificial Intelligence:It's getting harder to make big leaps at the frontier of AIOpenAI's AI-adjusted earnings numbers have echoes of Groupon and WeWorkDeath by LLM: Stack Overflow's decline, and its plan to survive, shows the future of free online data in an AI worldCloud computing:Amazon dominated the first cloud era. The AI boom has kicked off Cloud 2.0, and the company doesn't have a head start this time.In cloud, there's AI (which is hot) and everything else (which is not)Chips:Why Intel is still so important: Real countries have fabsApple's made-in-the-USA chips signal a turnaround for the US's big semiconductor betEVs and Tesla:Tesla's AI supercomputer has a Silicon Valley town rushing to meet surging electricity demandTesla's Cybertruck is outselling almost every other EV in the USOnline Search:Google is losing its status as a verbA simple way to fix search: Bright pink ads

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