PROFESSIONAL APPLICATIONS!

Use AI for resumes, interviews, and knowing when NOT to use AI

Comic Strip 1: Resume Transformation

Generic bullets don't get interviews. Quantified STAR-format bullets do.

The STAR Method

S - Situation:

Set the context - Where were you? What was happening?

T - Task:

Your responsibility - What did you need to accomplish?

A - Action:

What you did - Specific steps you took

R - Result:

Outcome with metrics - Numbers, percentages, impact

❌ Before

"Worked on team projects"

Problems: Vague, no metrics, no impact, anyone could write this

✅ After

"Collaborated with 4-person team to build full-stack web app, reducing page load time by 40% through database query optimization"

Why it works: Specific role, team size, technology, measurable result

❌ Before

"Helped with coding"

✅ After

"Implemented JWT authentication system using Flask and React, securing 10,000+ user accounts with 99.9% uptime"

Resume Bullet Transformer

Paste your weak bullet point and we'll generate 3 STAR versions!

Submit Your Resume Bullet

Paste one weak bullet from your resume, then paste the AI-improved STAR version you'll actually use. Explain why you picked that version.

Comic Strip 2: Interview Prep That Works

Master the 3 questions you MUST nail

1. "Tell me about a time you failed"

What they want: Self-awareness, learning, growth
Structure: Situation → What went wrong → What you learned → How you improved
❌ Don't: Blame others, pick a personal issue, say "I don't fail"
✅ Do: Own it, show what you learned, prove you applied the lesson

2. "Walk me through [project name] architecture"

What they want: Technical depth, decision-making, trade-offs
Structure: High-level overview → Dive into 2-3 key components → Explain why you chose them
❌ Don't: Jump straight to tiny details, memorize a script
✅ Do: Start broad, go deep when asked, explain trade-offs

3. "Why are you interested in this company?"

What they want: You actually researched them, fit with their needs
❌ Don't: "Great culture", "learning opportunity" (everyone says this)
✅ Do: Reference their tech stack, recent projects, specific problems you can solve

Mock Interview Analyzer

Type your answer to ONE of the 3 questions above (250 words max)

Analysis Results

Submit Your Interview Answer

Write your answer to ONE of the 3 questions (250 words max). Use STAR format. Then list what you would improve.

Comic Strip 3: When AI Helps (and When It Doesn't)

Know when to use AI and when to stay away

✅ When AI Actually Helps

  • Summarizing long documents/emails
  • Generating meeting notes with action items
  • Quick data analysis in Sheets
  • Draft responses to common questions
  • Extracting key points from research
  • Brainstorming ideas/approaches

❌ When It Doesn't Help

  • Technical/specialized content (AI guesses)
  • Legal or medical documents
  • Anything requiring 100% accuracy
  • Math proofs or complex calculations
  • Real-time/current event info
  • Financial advice or medical diagnosis

Red Flags for Unreliable AI Output

  • Gives different answers to the same question
  • Overly detailed when you asked for summary (hallucination)
  • No sources provided for factual claims
  • Generic advice when you need specifics
  • "As of my knowledge cutoff..." (info might be outdated)

Use Case Sorter Game

Click each scenario card to sort it into "Good AI Use" or "Bad AI Use"

Score: 0/12 correct

Submit Your AI Use Cases

Describe one task where AI SAVED you time. Then describe one task where you should NOT use AI. Explain why for both (2-3 sentences each).