Chapter 9: The AI-Powered Missing Person Search
Spoiler Notice
This page reveals the complete events of Chapter 9 of Badlands by Douglas Preston. If you haven’t read the chapter yet and wish to avoid spoilers, proceed with caution.
Summary
Corrie Swanson sits at her cubicle in the Albuquerque FBI office, ready to identify the unknown blonde woman whose bones were found in the badlands. She opens the National Missing and Unidentified Persons System (NamUs), enters the victim’s demographics, and attaches the facial reconstruction image. A basic search returns 1,304 possible matches in the state; expanding to the Southwest yields nearly 15,000. Corrie then activates the AI-powered NamUs copilot. In front of Agent Sharp, she uses natural-language prompt engineering to refine the search. The AI first casts a broad net (712,559 records), then narrows to 13,442 with high accuracy. Corrie injects informed guesses—such as a connection to Southwestern archaeology or the rare lightning stones found under the body—and the AI delivers 1,071 records sorted by likelihood. Sharp is impressed and agrees to assign Bellamy and O’Hara to manually review the list. Corrie’s tech-savvy approach bolsters her leadership of the case as she reflects on how AI can chew through data like a seasoned investigator acting on hunches.
Key Events
- Corrie logs into NamUs and enters all known details about the victim, including the facial reconstruction.
- A standard database search generates 1,304 potential matches in-state and 14,937 across the Southwest, underscoring the challenge.
- She activates the NamUs AI copilot and demonstrates “prompt engineering” to Sharp, using natural-language commands.
- The AI runs a broad search saving 712,559 records, then refines to 13,442 with maximum accuracy, then incorporates speculative filters (archaeology background, lightning stones, etc.) to produce a likelihood-sorted list of 1,071 possible identities.
- Sharp, initially skeptical, becomes deeply interested and offers to upgrade Corrie’s pool vehicle if she succeeds.
- Corrie persuades Sharp to assign Bellamy and O’Hara to work through the AI-sorted list.
- Sharp praises Corrie’s work, and she reflects on the FBI’s evolution from paper files to cutting-edge digital investigation.
Character Development
- Corrie Swanson: This chapter highlights her unconventional path (recalling how she once hacked her high school’s grading system) and her embrace of AI tools, positioning her not just as a diligent agent but as a tech-savvy innovator. Her ability to teach Sharp and earn his respect signals growing confidence in her role as case lead.
- Agent Sharp: His willingness to learn and his genuine curiosity about AI reveal a more open-minded side. By deferring to Corrie’s expertise and offering tangible support (vehicle upgrade, extra personnel), he demonstrates trust in her methods, even though he remains wary of bureaucracy.
Themes, Symbols, or Motifs
- Technology vs. Tradition: The chapter contrasts the FBI’s old “fingerprint cards and paper files” mentality with modern AI-driven investigation. Corrie’s skill with NamUs and prompt engineering serves as a symbol of the Bureau’s evolution.
- The Weight of the Unknown: The vast number of missing persons (over half a million annually) and the 1,304 initial results emphasize the scale of the challenge, mirroring the lonely death of the woman in the desert.
- Lightning Stones as a Cipher: The rare greenish stones found with the body continue to function as a tangible clue—an artifact from a vanished world that Corrie hopes will unlock the woman’s identity through digital reasoning.
Why This Chapter Matters
Chapter 9 transforms the investigation from a forensic and anthropological puzzle into a digital manhunt. It demonstrates how Corrie leverages her unique background—both her hacking past and her mastery of new AI tools—to apply pressure to a seemingly hopeless case. The chapter also deepens the mentor-student dynamic with Sharp, setting up the collaborative machinery that will soon put names to the reconstruction. By the end, the reader grasps not only how the FBI might solve this mystery but also the emotional stakes of sorting through thousands of possible tragedies to find one lost life.
Study Questions and Answers
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Why does Corrie begin with a conventional NamUs search before activating the AI copilot?
Corrie starts with a standard search to establish a baseline and to show Sharp the limitations of traditional methods. The 1,304 hits illustrate the need for AI’s ability to incorporate hunches and sort by likelihood, making the case for the advanced tool she intends to demonstrate. -
How does “prompt engineering” change the search, and what does it reveal about Corrie’s approach to investigation?
Prompt engineering allows Corrie to feed the AI natural-language instructions that combine hard data with educated guesses—such as a possible archaeology background or familiarity with lightning stones. This reflects her willingness to blend rigid data analysis with human intuition, treating the AI as a partner that mimics a detective’s thought process. -
What does Sharp’s reaction to the AI search tell us about the FBI’s internal culture?
Sharp’s initial wariness (“this isn’t Microsoft’s new Clippy, is it?”) reveals a generational skepticism toward new technology. His eventual impressed reaction and decision to assign more agents shows that even old-school agents can be won over when results are tangible, highlighting the slow but ongoing modernization of the Bureau.