You know the feeling. You open that resume you haven't touched in months or years, stare at it, and think: "How do I describe what I’ve accomplished? How do I describe that project? How do I quantify the impact I’ve made?"
Here's the brutal truth: we're terrible at remembering our own achievements. We actually do amazing work, but when it's time to write it down, our minds go blank. Then we ask ourselves: How can AI help make my resume better? How can AI help my LinkedIn profile better?
The big idea today, though, isn't actually about the resume. In this episode, Pendo Field CPO EMEA Dave Killeen shows you the power of “burger prompting” in the LLM. It’s time to move from the old way of LLM prompting, where you're guessing what context the AI needs. Instead, you’ll learn how to build and improve prompts so the AI extracts the information it needs from you to create a usable output.
Dave demonstrates this through six-phase structured prompt that instructs the AI to conduct a structured interview to surface your brilliance and specific achievements so you can have an outstanding resume.
Chapters:
00:00 The resume problem (why we all go blank)
01:00 Flipping the script (AI interviews you, not the other way around)
02:00 The six-phase structure (from upload to LinkedIn profile)
02:30 Phase 3: Achievement extraction (where the magic happens)
03:30 Live demo: Alex's mediocre resume gets transformed
05:00 How the prompt refuses vague answers
07:00 The full prompt structure breakdown
08:00 Building burger prompts with Claude Console
09:00 Wrap (the bigger idea: context pulling in action)
Tools mentioned:
Claude (structured interview process)
Claude Console (Prompt Improver for building these workflows)
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