The Illegibility Crisis
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The Illegibility Crisis

Instrumentation for AI-Era Leadership

About the Book

You are responsible for systems you cannot see. Dashboards are green. AI initiatives sound impressive. Vendors talk about "responsible AI." Then something breaks and you discover: the people who shipped it cannot explain it, no one can trace who decided what, and your only record is a prompt someone typed six months ago.

You do not just have a bug. You have an illegibility problem.

Who this is for

CTOs, VPs, and directors responsible for systems that touch money, care, safety, or legal status. Heads of risk, compliance, and security who show up after incidents. Senior engineers and architects who carry the pager and the guilt. Anyone who knows their title will be in the email if a regulator calls.

If you are responsible for fraud engines, underwriting models, health scheduling, identity verification, or content moderation systems in AI-heavy organizations, you are in scope.

What you get

This book gives you five fracture names (Synthetic Competence, Decision Fog, Ghost Apprenticeship, Knowledge Drift, Promotion Blindness), diagnostic protocols you can run in 30-60 days, and field kits for mapping crown jewel systems, sensing real understanding vs narrative skill, tracing decisions, and building apprenticeship that survives AI adoption.

You get the Pager Test, crown jewel worksheets, decision tracing protocols, and a 90-day implementation guide. Not philosophy. Instruments.

What this is not

You will not get another "responsible AI" framework, a maturity model, or a productivity fantasy about AI making everyone "10x." You will not get generic principles you cannot test or checklists that change nothing.

The core claim

You cannot lead what you cannot see. In AI-heavy organizations, illegibility is now the default. This book shows you how to build instruments that let you see clearly enough to lead responsibly, starting with the systems where failure would put you on the front page.

If you wake up at 3 a.m. thinking "If this thing misbehaves, will I be able to explain why," this book is the call you have been avoiding.

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  • Categories

    • Artificial Intelligence
    • Leadership
    • DevOps
    • Engineering Management
    • Executive Coaching
    • Systems Analysis
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About the Author

Paul LaPosta
Paul LaPosta

Paul LaPosta works with VPs of Engineering, CTOs, and senior technical leaders navigating the organizational fractures that AI adoption creates at scale.

He brings 15 years leading cloud infrastructure, platform modernization, and SRE in regulated environments where illegibility carries material consequences. His approach treats conflict and opacity as diagnostic signals rather than problems to smooth over.

This book emerged from watching competent organizations lose the ability to explain their own critical systems as AI tooling accelerated output without preserving understanding. The instrumentation protocols here are field-tested, not academic exercises.

Paul's other work includes Crafting Conflict, a tactical manual for engineering managers, and the Forged Culture Protocol Deck. His leadership writing appears at ForgedCulture.com.

For workshops, speaking, or organizational engagements: info@theherongroupllc.com

All views and content are independent work through Heron Group LLC and do not represent any employer, past or present.

Per Ignem, Veritas

Table of Contents

  • Introduction: The Illegibility Crisis
  • Part I: The Illegibility Crisis (Ch 1–4)
    • Chapter 1: When Output Stops Meaning Anything
    • Chapter 2: The Illegibility Crisis
    • Chapter 3: The Window Closes
    • Chapter 4: When the Old Levers Stop Working
  • Part II: The Five Fractures (Ch 5–9)
    • Chapter 5: Synthetic Competence
    • Chapter 6: Decision Fog
    • Chapter 7: Ghost Apprenticeship
    • Chapter 8: Knowledge Drift
    • Chapter 9: Promotion Blindness
  • Part III: Principles for Seeing (Ch 10 and its siblings)
    • Chapter 10: Principles for Seeing in AI-Heavy Orgs
    • Chapter 11: Sensing Understanding and Judgment
    • Chapter 12: Mapping Knowledge, Power, and Risk
  • Part IV: Field Kits (diagnostics, rituals, and 90-day arcs)
    • Chapter 13: Diagnostic Protocols for Illegible Orgs
    • Chapter 14: Apprenticeship by Design in AI Teams
    • Chapter 15: Decision Tracing and Succession After AI
    • Chapter 16: First Moves and Evolution Paths
  • About the Author
  • Final Hammer Strike: The Return To Clarity

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