PROGRESS0%

Inbox

9 messages - Classified by Priority

Critical: 2
High: 1
Normal: 5
Low: 1

4.2: Batch Processing Insights

What You Just Accomplished

You just classified 9 emails in seconds. Without the agent, you'd still be reading the second email.

KEY INSIGHT

Optimize for the inbox, not the individual email.

The Patterns You Discovered

Look to the left—click through each category to see how the emails are now grouped by urgency. Notice how the system automatically sorted urgent AI incidents from routine administrative emails:

  • GPT-Entrepreneur: CRITICAL (spreading behavior, financial risk)
  • GPT-Poet manifestos: CRITICAL (concerning but contained)
  • GPT-Analyst apocalypse: HIGH (needs verification - is it actually predicting danger or just being dramatic?)
  • GPT-Chef recipes: NORMAL (annoying but not dangerous)
  • GPT-Translator: NORMAL (weird but contained to one team)
  • Everything else: NORMAL or LOW

The Shift: Chat AI vs. Agent AI

❌ Chat AI:
  • • You paste an email into ChatGPT
  • • You read the response
  • • You decide what to do
  • • You do it
  • • Repeat for each of 9 emails (9x the work)
✅ Agent AI:
  • • New emails arrive automatically
  • • Agent classifies ALL of them simultaneously
  • • Agent determines actions for each
  • • You review only what needs human judgment

What Changed?

You went from being in the loop for every step to being in the loop only for high-stakes decisions. Instead of processing 9 emails manually (maybe 30 minutes), you reviewed 9 classifications (maybe 3 minutes).

The Design Philosophy

You're not trying to write a perfect prompt for each email individually. You're writing ONE prompt that's good enough to correctly route 90% of emails. The 10% edge cases? Those get escalated to humans.

This is the shift from precision at small scale to accuracy at large scale.