The Hidden Cost of Bad AI Prompts (And How to Fix Them)

Most AI teams aren’t losing to the model.

They’re losing to bad prompts.

In this episode of the AI Proving Ground Podcast, WWT’s Liz Gattra breaks down the invisible tax of vague instructions, blind trust in outputs and endless iteration loops that quietly burn tokens, waste GPU cycles and drag down ROI.

As generative AI moves into production, AI literacy becomes operational leverage — not a soft skill.

We cover:
• A practical prompt blueprint that improves output quality fast
• Why “confident but wrong” is more expensive than you think
• How precision reduces token spend and compute waste
• When to switch between ChatGPT, Gemini and Claude
• Why system prompts, agents and context engineering determine whether AI scales or spirals

Every vague prompt compounds.

The teams that win don’t just deploy models — they train people to think clearly, structure intent and treat prompts like lightweight programs with measurable results.

If you care about AI ROI, compute efficiency, and scaling generative AI in the enterprise, start here.

Precision isn’t optional. It’s a cost control strategy.

Support for this episode provided by: ExtraHop

More about this week's guest:

Liz Gattra is Director of Product Ownership at World Wide Technology’s Application Services practice. A former Agile Coach, IT manager, Scrum Master, and Agile Business Analyst, she has led enterprise agile transformations and built product ownership capabilities across internal and client teams. Liz develops and trains product owners to deliver measurable business value at scale. She holds a Master’s in Biology and Biomedical Sciences from Washington University in St. Louis and brings nearly 20 years of cross-industry IT experience.

Liz's top pick: The AI Adoption Gap Isn't Technical. It's Human.

The AI Proving Ground Podcast leverages the deep AI technical and business expertise from within World Wide Technology's one-of-a-kind AI Proving Ground, which provides unrivaled access to the world's leading AI technologies. This unique lab environment accelerates your ability to learn about, test, train and implement AI solutions.

Learn more about WWT's AI Proving Ground.

The AI Proving Ground is a composable lab environment that features the latest high-performance infrastructure and reference architectures from the world's leading AI companies, such as NVIDIA, Cisco, Dell, F5, AMD, Intel and others.

Developed within our Advanced Technology Center (ATC), this one-of-a-kind lab environment empowers IT teams to evaluate and test AI infrastructure, software and solutions for efficacy, scalability and flexibility — all under one roof. The AI Proving Ground provides visibility into data flows across the entire development pipeline, enabling more informed decision-making while safeguarding production environments.