The Boring 70%: Rebuilding Your ISD Practice Around AI

By D.J. Ober

AI can write a storyboard in ninety seconds. It cannot tell whether the course should exist.

Generative AI has arrived in corporate training faster than our governance, review habits, and professional boundaries can absorb. Storyboards, compliance refreshes, assessment items, and metrics can now be drafted in minutes.

That speed is real. So is the risk.

If you spend your week formatting slides, aligning templates, or waiting on SMEs while learning science sits in the margins, you know the wound of modern L&D: the boring 70 percent. This is the operational tax we pay to get to the 30 percent that actually requires us. Generative AI offers a way out of this tax-if we know how to manage the apprentice.

The Boring 70%: Rebuilding Your ISD Practice Around AI is a workflow-first, vendor-neutral operating manual for learning professionals who want to leverage AI without compromising standards, risking data privacy, or abdicating judgment.

RE-FRAMING AI: THE APPRENTICE IN THE CUBICLE

This book rejects both the hype that AI will replace designers and the stance that AI has no place in the craft. It frames AI as a junior apprentice: prolific and fast, but context-blind, legally exposed, and prone to confident errors. You wouldn't let an intern ship compliance courses without review; this book shows how to establish those same boundaries for AI. It also addresses the "polish trap"-where clean AI output lowers review vigilance, letting critical errors slip into production.

WHAT YOU WILL DISCOVER INSIDE: The 70/30 Division: Learn how to isolate the production tasks that can be delegated to an apprentice from the strategy and empathy that must remain human.Methodology-First Prompting: Stop chasing "magic prompts." Learn to translate ADDIE, SAM, and learning science principles directly into structural constraints that guide AI output.The Verification Tax: Discover specific failure modes of AI in task analysis, objectives, and content production, and how to verify them against ground truth.Defensible AI Governance: Build boundaries around data privacy, intellectual property, and the use of synthetic voices and avatars in corporate assets.The Multi-Gate Quality Pipeline: Implement a six-gate checklist (Learning Science, SME, Accessibility/508, Editorial, Legal, and Sign-off) to audit AI drafts.Scale and Team Adoption: Manage quality drift, handle contractor displacement, and build durable skill ladders to upskill your department.THE MERIDIAN HEALTH CASE STUDY

Rather than discussing tools in a vacuum, the book follows the L&D team at Meridian Health Systems through real-world projects under real-world pressures. You'll watch Maya, Daniel, Elena, and Priya wrestle with a clinical documentation rollout, a HIPAA compliance refresh, custom xAPI scripts, and executive dashboard analytics, giving you a detailed look at how AI-augmented workflows hold up under peer and compliance reviews.

WHO THIS BOOK IS FOR: Instructional Designers looking to accelerate their production pipelines while maintaining their creative standards and accuracy.L&D Managers and Directors who need to design use policies, train staff safely, and justify AI budgets.LMS Administrators and Learning Engineers looking to automate routine plumbing, data formatting, and integrations.

This is not a book of transient tool reviews or copy-paste prompts. It is a durable methodology for the next decade of instructional design, showing how to automate the busywork so you can protect the work only you can do.

• Format: Paperback
• Language: English
• ISBN: B0H5V6SP25
• ISBN13: 9798182095372
• Release Date: June 2026
• Publisher: Independently published
• Length: 386 Pages
• Weight: 1.03 lbs.
• Dimensions: 9.0" x 0.9" x 6.0"