The Review Problem
You've been writing this course for three days. You've read each slide 15 times. You know what it's supposed to say—so that's what you see. Even when it's not there.
"Their" instead of "they're." Inconsistent terminology. A factual error on slide 12 that contradicts slide 3. A confusing sentence you rewrote twice but still doesn't make sense.
You can't catch it. You're too close.
Your SME will catch it. Your manager will. Your learners definitely will.
💡 The shift
AI reviews your work fresh. Catches typos you've read past 20 times. Spots inconsistencies across 40 slides. Flags confusing sentences. Never gets tired.
Not perfect. But better than your tenth exhausted read-through.
Why Reviews Fail
| Barrier | Reality |
|---|---|
| Fatigue | You've read it 15 times. Your brain fills in what should be there. |
| Proximity | You know what you meant. So you see it—even when it's not there. |
| Consistency blindness | Hard to track terminology across 50 pages. |
| Time pressure | No time for thorough review before deadline. |
| No fresh eyes | SME reviews content accuracy, not copy quality. |
Result: Courses ship with obvious errors you didn't see.
What AI Can Review
✓ Copy Quality
- Spelling and grammar errors
- Punctuation mistakes
- Inconsistent capitalization
- Awkward phrasing
✓ Consistency Checks
- Terminology across modules
- Formatting patterns
- Voice and tone
- Acronym usage
✓ Clarity Issues
- Confusing sentences
- Ambiguous instructions
- Overly complex language
- Jargon without definitions
✓ Logical Problems
- Contradictory information
- Missing context
- Unclear transitions
- Steps out of order
What AI doesn't catch: Content accuracy (that's your job), cultural appropriateness, stakeholder politics.
The Basic Prompt
Example:
What You Get
Slide 3:
- Issue: Inconsistent terminology—uses both "client" and "customer" for same role
- Suggestion: Choose one term and use consistently (recommend "customer" per corporate standards)
Slide 7:
- Issue: Typo—"their" should be "they're"
- Fix: "...when they're handling escalations"
Slide 12:
- Issue: Contradicts Slide 4—here you say policy is 30 days, earlier you said 45 days
- Fix: Verify correct policy timeframe and update for consistency
Slide 15:
- Issue: Sentence too complex—37 words, multiple clauses
- Original: "When employees are faced with situations where customers are expressing dissatisfaction with products or services that they have purchased, it's important that the employee should remain calm and professional while also acknowledging the customer's concerns."
- Suggested: "When customers express dissatisfaction, remain calm and acknowledge their concerns."
What AI Does Well vs. What It Gets Wrong
✓ AI Strengths
- Catch typos you've read past 20 times
- Spot inconsistent terminology across pages
- Flag overly complex sentences
- Identify missing transitions
- Notice contradictory statements
- Suggest clarity improvements
✗ AI Limitations
- May flag correct technical terms as errors
- Suggests changes that lose your voice
- Can't verify factual accuracy
- Misses context-dependent appropriateness
- Over-corrects to generic corporate speak
💡 The Division of Labor
AI catches mechanical errors and inconsistencies. You decide what's actually correct and what serves the audience.
Review Types
| Focus | When to use | AI prompt | Time |
|---|---|---|---|
| Typo sweep | Before SME review | "Catch spelling, grammar, punctuation errors" | 10 min |
| Consistency audit | Multi-author content | "Check terminology and formatting consistency" | 20 min |
| Clarity check | Complex technical content | "Flag confusing sentences and missing context" | 15 min |
| Learner lens | Unfamiliar audience | "Review as [target audience]. What's unclear?" | 20 min |
| Final polish | Before launch | "Comprehensive QA—typos, consistency, clarity" | 30 min |
The Workflow
- Finish your draft — complete content first, then review (varies)
- Export to plain text or paste into AI, 15-50 slides at a time (2 min)
- Run QA prompt with specific focus (5 min)
- Review AI's findings (10-15 min)
- Make corrections you agree with (15-20 min)
- Second pass if needed (optional, 10 min)
- Final human scan before SME sees it (10 min)
Total: 40-60 minutes vs. 2+ hours of manual review. And AI catches more.
The Cost Math
| Approach | Time | Errors caught |
|---|---|---|
| No review | 0 hrs | 0% (SME finds them, you look sloppy) |
| Your 3rd read-through | 2 hrs | ~60% (you miss what you've read before) |
| Fresh colleague | 3 hrs | ~80% (if available, if they have time) |
| AI review + your fixes | 1 hr | ~85% (AI never gets tired) |
AI saves 1 hour vs. your own review. Catches 25% more errors.
Key Takeaways
- Fresh eyes catch more. AI reviews with zero fatigue—spots errors you've read past 20 times.
- Faster and better. 1 hour vs. 2+ hours, with 85% catch rate vs. 60%.
- Use judgment on fixes. AI flags issues—you decide what's actually wrong and what stays.
- Review before SME. Clean copy shows professionalism and focuses feedback on content, not typos.
Try It Now
🎯 Your task:
Take a draft you've already reviewed yourself. Run it through AI QA. Count how many issues AI catches that you missed.
The test: Did AI find errors you read past multiple times?
📥 Download: QA prompts and review checklists (PDF)
Ready-to-use templates for typo sweeps, consistency audits, and clarity checks.
Download PDF