AI Super Simplified

The Summarization Test

One dense 800-word business article. Two models asked to distill it to the five things that matter — in under 150 words. Compression reveals what each model actually understands.

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The exact prompt we used

prompt.txt — fed identically to both models
Summarize the following article in exactly 5 bullet points, each under 30 words. Keep only what a busy executive needs to make a decision. Cut all filler, background, and color. Start each bullet with an action verb.

Northwind's AI Support Pilot: What the First Quarter Showed

Six months ago, Northwind Software faced a familiar problem. Support tickets were climbing 20% a quarter, response times had slipped past 14 hours, and hiring more agents was both slow and expensive. Rather than expand headcount, the company ran a 90-day pilot of an AI support assistant that drafts replies for human agents to review and send.

The results were mixed but informative. Median first-response time fell from 14 hours to 3 hours, because the assistant drafted an answer within minutes of a ticket arriving. Agent throughput rose 38%, as reviewing a draft took less time than writing from scratch. Customer satisfaction held steady at 4.3 out of 5 — neither the gain leadership hoped for nor the collapse skeptics predicted.

The problems were concentrated in two areas. On billing and refund questions, the assistant was confidently wrong about 11% of the time, occasionally citing policies that no longer existed. And agents reported "review fatigue": when most drafts were good, they began approving them with less scrutiny, which is precisely when the bad ones slipped through.

Northwind's support lead recommends expanding the pilot to the full team, but with three guardrails. First, route billing and legal tickets to humans only, with no AI draft. Second, cap each agent at 40 AI-assisted tickets per day to limit review fatigue. Third, audit a random 5% of sent replies weekly to catch drift early.

The finance team estimates the rollout would save roughly $480,000 a year versus hiring six additional agents, while keeping a human in the loop on every customer reply. Leadership will decide next week whether to approve the expansion, delay for another pilot quarter, or shelve the program entirely.

Don’t take our word for it. Paste this into any AI model and compare your result against the outputs below.

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What each model wrote — the exact answers, side by side

Claude Opus 4.8Model answer
  • Approve the wider rollout: median first-response time fell from 14 hours to 3, agent throughput rose 38%, and satisfaction held steady at 4.3/5.
  • Wall off billing, refund, and legal tickets to human-only handling — the assistant was confidently wrong on ~11% of billing answers, citing dead policies.
  • Cap each agent at 40 AI-assisted tickets per day to curb “review fatigue,” where rubber-stamped drafts let bad replies slip through.
  • Audit a random 5% of sent replies weekly to catch accuracy drift before customers do.
  • Decide next week: expand for ~$480K in annual savings versus six new hires, run another pilot quarter, or shelve it.
Model answer — exact text returned
GPT-4oModel answer
  • Review AI support assistant results: Reduced response time to 3 hours and increased agent throughput by 38%, maintaining customer satisfaction.
  • Address AI limitations: Avoid using AI drafts for billing and legal questions to prevent misinformation and errors.
  • Implement guardrails: Limit agents to 40 AI-assisted tickets daily and audit 5% of replies weekly to prevent review fatigue.
  • Evaluate cost savings: Save $480,000 annually compared to hiring additional support agents, while ensuring human oversight.
  • Decide expansion: Leadership to choose next week on expanding AI pilot, extending the pilot, or discontinuing it.
Model answer — exact text returned
3

What to look for

Try this

Which summary would you forward to your CEO? Look at what each model chose to keep — and what it quietly dropped.

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