Two outrageous customer-service horror stories. Two very entitled customers. And AI weighing in on why people behave this way.

Welcome back to Bitter Waitress, where we explore the wild world of customer service, share stories about outrageous customer behaviour, and put artificial intelligence to the test.

In this episode, I dive into two customer-service horror stories that demonstrate what can happen when customers believe their demands should take priority over everyone else's.

First: The Food That Wasn't Pretty Enough

A high-school server at an Asian fusion restaurant brings out four hot, correctly prepared meals. Instead of enjoying his food, one customer complains that it doesn't look attractive enough. He demands that all four meals be remade and insults the young server in front of the manager.

Could the server have handled the situation differently, or was the customer simply being unreasonable?

Second: The Couple Who Helped Themselves to a Reserved Table

At a busy upscale steakhouse, a couple bypasses the host and sits at a table reserved for another party. Despite being told that the table is booked, they refuse to move and threaten to leave a bad review. The manager ultimately gives in, leaving the actual reservation party waiting.

Should the restaurant have refused to serve them?

Throughout the episode, I share my own perspective as someone who works in the restaurant industry and ask AI to analyse the behaviour behind these incidents. We explore entitlement, impatience, disrespect toward service workers, and the pressure businesses face when customers threaten negative reviews.

We also discuss why younger employees can be especially vulnerable to intimidation and why treating people with respect should never depend on their job title.

What do you think? Have you experienced a customer like either of these? Would you have handled the situations differently? Join the conversation and share your stories.

Thanks for listening to Bitter Waitress!

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Welcome back to Bitter Waitress!

In this episode, we're exploring two outrageous customer service horror stories and using AI to examine the behavior behind them.

THE PIZZA CUSTOMER WHO CALLED TWO MINUTES BEFORE CLOSING

A woman calls a pizza restaurant just before closing and demands to place an order, despite the kitchen having already shut down its ovens. When the employee explains the situation, she responds with insults and profanity.

Why do some customers believe that closing time doesn't apply to them? And why take their frustration out on someone who's simply doing their job?

THE BRIDE WHO WANTED A REFUND BECAUSE HER WEDDING CAKE WAS TOO PRETTY

A bakery owner creates a beautiful custom wedding cake that the bride approves before the wedding. But afterward, the bride demands a refund and threatens legal action, claiming the cake was so pretty that it made the maid of honor cry and ruined the reception's energy.

You can't make this stuff up!

I share my own opinions before asking DeepSeek and Claude to analyze the stories. We explore customer entitlement, emotional reactions, possible motivations, and the challenges faced by people working in customer service.

Could the bride's reaction have been about wedding stress, money, or feeling overshadowed? Why do some people respond to disappointment with aggression rather than understanding?

We also discuss the limits of AI behavioral analysis and why we should be cautious about assuming we know someone's motivations from a single story.

Join the conversation!

What would you do if a customer swore at you because they couldn't order a pizza before closing? And how would you respond to a bride demanding a refund because her cake was too beautiful?

I'd love to hear your thoughts.

Thanks for listening to Bitter Waitress!

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Why did Elizabeth Holmes keep going when Theranos’s blood-testing technology wasn’t working?

In this episode, I explore the behavior and choices behind the Theranos scandal, including the company’s promise of blood tests from a finger prick, questions about investor and Walgreens due diligence, and the potential harm to patients.

I also ask AI tools to weigh in on Holmes’s possible motivations. Their responses are perspectives for discussion, not a clinical assessment. What do you think drove her to continue?

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