Dora - Tag - Lorenzo's Bloghttps://www.k8s.it/tags/dora/Dora - Tag - Lorenzo's BlogHugo -- gohugo.ioenSun, 26 Jul 2026 00:00:00 +0000What AI Actually Costs: 27 Sessions of Real Datahttps://www.k8s.it/posts/what-ai-actually-costs-27-sessions-of-real-data/Sun, 26 Jul 2026 00:00:00 +0000Lorenzo Girardihttps://www.k8s.it/posts/what-ai-actually-costs-27-sessions-of-real-data/

Table of Contents

  • Introduction
  • The Question Nobody Answers
  • The Dataset: 27 Sessions, 61 Days
  • Where the Money Actually Goes
    • Cache Read Is the Bill
    • The Whale Session
    • Head and Tail
  • The Model Mix Problem
  • Output Compression: The Lever Everyone Reaches For First
  • The Velocity Half of the Question
    • km/l Is Not the Metric. km/€ Is.
    • The Efficiency Gap Between People
  • A Framework for Getting the Data
    • Step 1: Parse Your Own Logs
    • Step 2: The Ticket Protocol
    • Step 3: The Metrics That Matter
  • From Measurement to a Development Framework
    • Rule 1: One Ticket, One Session
    • Rule 2: Route the Model to the Task
    • Rule 3: Compress the Output
    • Rule 4: Build Skills, Not Prompts
  • The Maturity Path
  • The Honest Caveats
  • Conclusion
  • Reflections

Here we are. Every conversation about AI in engineering right now runs on vibes. It’s faster. It’s cheaper. It’s transformative. Ask for a number and the room goes quiet.

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