In this episode of Answer Engines: How Brands Build the AI Advantage by Advantage Labs, we explore everyday AI tools. Master prompt engineering with a clear 4-part framework—role, context, task, and format. Avoid common mistakes, iterate smarter, and get better AI results fast.
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Sheridan and Jon break down prompt engineering into a simple 4-part framework—role, context, task, and format. See live examples, common mistakes to avoid, and quick iteration tips that turn vague asks into precise, high-quality AI outputs.
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This episode covers:
What is prompt engineering and why does it matter?
Prompt engineering uses role, context, task, and format to give AI clear instructions so outputs are accurate, need less editing, and match your goals.
How do I structure an AI prompt for better results?
Define a role or perspective, add context (goal, audience, constraints), state the task, and specify the format; then iterate by refining tone, length, or output type.
What common prompt mistakes should I avoid?
Being vague, asking for too much at once, skipping audience and tone, not providing examples, failing to say what not to do, and not iterating.
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About the Show
Answer Engines: How Brands Build the AI Advantage by Advantage Labs is a podcast by Advantage Labs exploring how brands earn visibility, trust, and recommendations in the age of AI-driven search. Through conversations with business leaders, founders, and technologists, the show examines how artificial intelligence is reshaping discovery, authority, and decision-making across systems like ChatGPT, Google's AI-powered search experiences, and other emerging answer engines.
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Host:
Sheridan Wendt
Visionary technology leader with 15+ years of experience driving transformative change, delivering $4B+ in global infrastructure projects, and leading AI implementations that improve efficiency and revenue across Fortune 500 organizations.
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Guest:
Jonathan Foster
A seasoned Cyber Security Engineer/Analyst with a diverse background in network systems and electronics. Over his career, Jonathan has worked with KBR, Inc., VT Group, Serco, and the US Navy. His expertise includes leading system installations, technical support, and network security for military-grade operations. Notably, he has managed shipboard network systems, ensured compliance with military standards, and trained personnel on system maintenance and troubleshooting. Jonathan's experience also spans handling classified material, optimizing network uptime, and auditing security policies.
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Chapters
00:00 – Introduction
00:30 – Why prompting matters
02:36 – What is a prompt?
04:41 – The 4-part prompt framework
05:11 – Fixing a bad prompt: marketing plan
06:20 – Fashion example: add role + context
08:18 – Combining task and format
08:48 – Common prompting mistakes
10:53 – Iterate and specify outputs
12:30 – Colons + parentheses for clarity
14:30 – What is Markdown?
15:46 – Live demo: dress prompt constraints
18:49 – Refining results: links and email
20:50 – Templates and cross-model prompting
23:58 – Sponsor: AI Visibility Review
25:06 – Prompt starters: brainstorm, rewrite
26:42 – Power of iteration recap
27:30 – Ask AI what it needs
28:14 – Key takeaways and close
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Learn more about Advantage Labs:
https://advantagelabs.ai
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Watch on YouTube:
https://www.youtube.com/@AdvantageLabsAI
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Listen on more platforms:
https://podcast.AdvantageLabs.ai
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