Lesson 833 of 2116
AI Tools as a Portfolio: Showing, Not Telling
Mid-career pivoters lose interviews because they describe what they did instead of showing what they built. Three lightweight portfolio formats — ranked by effort.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1Why pivoters get filtered out
- 2portfolio
- 3show don't tell
- 4Loom
Concept cluster
Terms to connect while reading
Section 1
Why pivoters get filtered out
A 28-year-old applicant has a GitHub. A 50-year-old applicant has 'I led teams.' Same paper credentials, different evidence. Hiring managers default toward the candidate they can verify.
Three portfolio formats, ranked
Compare the options
| Format | Effort | Best for |
|---|---|---|
| 5-min Loom walking through a tool you built | Low (~2 hours) | Anyone — universal |
| Public Notion or doc page with 3 prompt-craft case studies | Medium (~6 hours) | Writers, ops, consultants |
| GitHub repo with a small working tool + README | Higher (~12 hours) | Semi-technical pivoters |
What to put in the case study
- 1The problem (1 paragraph, in your industry's language)
- 2The before state (time spent, frustrations, hard parts)
- 3What you built (the prompt, the workflow, the wiring)
- 4Screenshots — the real ones, not stock
- 5The after state (time saved, errors caught, what's still hard)
- 6What you'd do differently (this paragraph is what hiring managers actually read most carefully)
Key terms in this lesson
The big idea: at 50, you don't get a degree benefit-of-the-doubt. You get a portfolio benefit-of-the-doubt. So have one.
End-of-lesson quiz
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