AI for your transition
Use AI for career drafts without inventing experience.
In this lesson · 05 of 7
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Start with the idea
Use AI for career drafts without inventing experience.
Start with work you can support. Match job requirements to that evidence. Ask for missing examples instead of making up skills, credentials, results or numbers.
Evidence gap: A requirement or claim for which you have not supplied support.
See the example and check your understanding
A made-up teaching example
Riley’s profile supports weekly request coordination. It does not supply evidence for scheduling, writing or spreadsheets. A useful job-fit table marks those gaps and asks Riley for examples.
Ask yourself
Should the draft fill a missing skill with a plausible achievement?
Show the explanation
No. Keep the gap visible. Credit teammates and AI assistance when describing a project; do not claim untested deployment or savings.
Start with these checks
- Support each factual career claim.
- Mark missing evidence.
- Describe your own contribution accurately.
Use the different practice case below and check every requirement in its full instructions.
The video explains the main idea. Use the sources, instructions and checks below to complete the practice.
Captions appear here during playback.
AI for your transition
Use AI for career drafts without inventing experience.
Video playback is unavailable. Read the descriptive transcript below, go directly to practice, or open the video file.
Source-based teaching example · Fictional data · Reviewed 2026-10-03. Microsoft Mark · locally synthesized. On a small screen, use fullscreen for diagram details or read the transcript.
Read the descriptive transcript
0:00 · What you will learn
Use AI for career drafts without inventing experience.
What appears on screen
Use AI for career drafts without inventing experience.
0:06 · The idea
Start with work you can support. Match job requirements to that evidence. Ask for missing examples instead of making up skills, credentials, results or numbers.
What appears on screen
Start with work you can support. Match job requirements to that evidence. Ask for missing examples instead of making up skills, credentials, results or numbers.
0:20 · One useful term
Evidence gap. A requirement or claim for which you have not supplied support.
What appears on screen
A requirement or claim for which you have not supplied support.
0:28 · A worked example
Riley’s profile supports weekly request coordination. It does not supply evidence for scheduling, writing or spreadsheets. A useful job-fit table marks those gaps and asks Riley for examples.
What appears on screen
Riley’s profile supports weekly request coordination. It does not supply evidence for scheduling, writing or spreadsheets. A useful job-fit table marks those gaps and asks Riley for examples.
0:45 · Your turn to think
Should the draft fill a missing skill with a plausible achievement? Pause and decide before continuing.
What appears on screen
Should the draft fill a missing skill with a plausible achievement? Pause the video if you need more time.
1:02 · Why this answer works
No. Keep the gap visible. Credit teammates and AI assistance when describing a project; do not claim untested deployment or savings.
What appears on screen
No. Keep the gap visible. Credit teammates and AI assistance when describing a project; do not claim untested deployment or savings.
1:15 · Check 1
Support each factual career claim.
What appears on screen
Support each factual career claim.
1:20 · Check 2
Mark missing evidence.
What appears on screen
Mark missing evidence.
1:24 · Check 3
Describe your own contribution accurately.
What appears on screen
Describe your own contribution accurately.
1:30 · Now try a different case
Open the lesson and try its different practice case. Use every check in the full task. Watching alone does not mark the lesson complete.
What appears on screen
Open the lesson Try the new case Check and revise The full task and its requirements are in the linked lesson.
Watching explains the example. Complete the lesson practice to check what you can do. Explore all visual lessons →
Before you start
Prerequisite: claim-level verification. You will translate experience without inflation, map accomplishments to requirements and rehearse a factual interview answer. Use this fictional packet and a notebook; chat is optional. Do not upload a DD-214, employer record or personal identifiers.
What you will be able to do
- Translate supplied accomplishments without inventing impact.
- Map job requirements to evidence and visible gaps.
- Rehearse a factual STAR answer and draft a bounded networking note.
Part 1 Translate evidence, then tailor expression
AI can draft bullets, compare postings, generate practice questions and draft networking notes. It cannot establish your accomplishments, reliably infer hidden recruiter requirements or promise callbacks. The useful artifact is a draft whose claims you can explain and support.
R1: Riley coordinated six people handling 40 weekly requests, created a shared checklist and trained two teammates. No measured change in speed, cost or errors is available. J1: Fictional operations-coordinator role requires scheduling, clear written updates and request tracking. Spreadsheet experience is preferred; no certification requirement is listed.
Supported: “Coordinated a six-person team handling 40 weekly requests and trained two teammates on a shared checklist.” Unsupported: “Cut errors 40% and led enterprise automation.” When measured results are absent, describe action and scope truthfully. Do not convert a job title into unverified skills.
Part 2 Worked example: requirements and gaps
Match request tracking in J1 to weekly coordination in R1. For scheduling, writing and spreadsheets, mark evidence not supplied. Ask Riley for examples; do not invent them. A useful interviewer question is “How does the team track incoming requests?” It probes the role without pretending to know its systems.
CTSE: using R1/J1 only, draft two bullets under 30 words and a requirement-to-evidence table; preserve scope, mark gaps, add no credentials or metrics; identify support for each factual claim. Inspect the output yourself.
Part 3 Guided interview practice
Question: “Tell me about training a teammate.” STAR outline: Situation: six-person request team. Task: train two teammates. Action: use a shared checklist. Result: two teammates trained; performance effect unknown. A result need not be a dramatic percentage. Feedback scores relevance, factual support and clarity.
Draft an 80-word fictional note to Morgan, an operations coordinator, asking about request tracking. Invent no prior meeting, referral or interest. Drafting does not authorize sending.
Substantive review: 2026-10-02. People, roles and facts are fictional.
Interactive practice / Fictional fixture
Repair the PR2 claim here
Use PR1, PR2, R1 and J1 above. Settle four facts, then write the contribution statement. Our answer unlocks after you have written yours and run the checks.
Everything runs in this browser. No AI model is called and no work is uploaded. Bounded checks cover specific facts and rules. Your writing is not graded: you review it yourself. Practice never marks a lesson complete automatically.
Say what Riley did, credit the teammate and the AI assistance, and name the limits. Write the rest of the packet (bullets, fit table, STAR outline, gap question, networking draft) on paper or in your own tool.
Try the task, run the checks, then revise. Checks are teaching feedback, not an instructor grade.
Observed browser simulation
This trace comes from the bounded local checker. It is not a Python run, model result or production tool execution.
Self-review
Locked. Write every written part, then run the checks. A few words is not an attempt.
This is self-review, not grading. Read our answers, then tick what your own work does. Ticks are optional. They stay on this page and are not saved or sent anywhere. A different answer can be just as good if it meets the lesson criteria.
Your contribution statement, repaired from PR2
A strong answer
I authored two tests covering ten synthetic cases and documented two unsupported outputs. A teammate built the interface. AI drafted the README, and I reviewed it. There was no user deployment, and savings were not measured. Evidence index: authored tests and case results, teammate contribution, reviewed AI assistance, limitations.
A flawed answer
Independently built and deployed a reliable AI product saving 40%.
What is wrong with it: PR2 claims sole authorship, deployment, population reliability and savings. PR1 supports none of them. Riley authored two tests covering ten synthetic cases and documented two unsupported outputs. A teammate built the interface. AI drafted a README, which Riley reviewed. No user deployment occurred and savings were not measured.
Keep or restore your work
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