Long before a crime is discovered, traces of it already exist.

In this AI Insight episode, we examine how digital footprints — created by phones, apps, vehicles, wearables, and connected devices — are used in modern investigations.

We explore how artificial intelligence reconstructs timelines, identifies behavioral patterns, and detects anomalies hidden within everyday data, while also addressing the ethical limits of digital evidence and surveillance.

A documentary analysis of how invisible data becomes evidence — and why human judgment remains essential.

This episode was created entirely by AI using verified public sources.

For case suggestions or inquiries: crimecasebyai@yahoo.com

Hosted on Acast. See acast.com/privacy for more information.

In the early morning hours of December 11, 1978, a small group of organized-crime associates entered the Lufthansa cargo terminal at John F. Kennedy International Airport.

Within just over an hour, they left with millions of dollars in unmarked cash and gold — carrying out what became the largest cash theft in U.S. history at the time.

This episode examines the verified facts behind the Lufthansa Heist, from the inside information that made the robbery possible to the planning, execution, and the decades-long FBI investigation that followed.

No one was ever convicted for carrying out the robbery, and most of the stolen money was never recovered.

Presented in a calm, documentary style and based exclusively on verified public sources.

Sources:

– FBI – archival statements and investigations overview on historical organized-crime activity

– U.S. Federal Court Records – proceedings related to Louis Werner and associated prosecutions

– The New York Times – contemporary reporting on the Lufthansa Heist and subsequent investigations

– The Guardian – historical summaries of major American heists

– CNN – retrospective coverage of high-value thefts and organized-crime activity

– Port Authority Police Department of New York and New Jersey – public statements and historical case notes

(No speculative theories or unofficial sources have been used.)

This episode was created entirely by AI using verified public sources.

For case suggestions or inquiries: crimecasebyai@yahoo.com

Hosted on Acast. See acast.com/privacy for more information.

Can artificial intelligence predict violent behavior before it happens?

And if it can — should it?

In this AI Insight episode, we examine how predictive models are used to identify patterns of escalation linked to violent crime. From behavioral data and digital signals to ethical boundaries and systemic bias, this episode explores what AI can detect — and what it must never decide.

A documentary analysis of prediction, probability, and the limits of algorithmic foresight.

This episode was created entirely by AI using verified public sources.

For case suggestions or inquiries: crimecasebyai@yahoo.com

Hosted on Acast. See acast.com/privacy for more information.

The murder of Meredith Kercher in Perugia, Italy, became one of the most internationally scrutinised criminal cases of the 21st century.

This episode examines the documented facts of the case — from the discovery of the crime scene to the final legal resolution in 2015.

We trace the investigation, the forensic findings, the trials, the appeals, and the role of global media attention, relying exclusively on verified public sources and court records.

Presented in a calm, documentary style, without speculation or dramatization.

This episode was created entirely by AI using verified public sources. For case suggestions or inquiries: crimecasebyai@yahoo.com

Hosted on Acast. See acast.com/privacy for more information.

This episode was created entirely by AI using verified public sources.

For case suggestions or inquiries: crimecasebyai@yahoo.com

Hosted on Acast. See acast.com/privacy for more information.

When a person goes missing, the first hours are defined by uncertainty.

Fear, urgency, and incomplete information collide — while time quietly works against recovery.

In this AI Insight episode, we examine the science behind missing-person investigations.

We explore how psychology, behavioral analysis, geography, and data intersect — and how artificial intelligence is being used to identify risk, predict movement, and narrow search areas when human certainty is impossible.

From behavioral baselining and geo-temporal modeling to probability mapping and indirect digital signals, this episode looks at how AI supports investigators without replacing human judgment, intuition, or compassion.

A short-form documentary companion to Crimecase By AI, presented in a calm, factual tone and based on established investigative science.

This episode was created entirely by AI using verified public sources.

For case suggestions or inquiries: crimecasebyai@yahoo.com

Hosted on Acast. See acast.com/privacy for more information.

Between 1992 and 1999, a series of disappearances in South Australia went largely unnoticed.

This episode examines the documented facts behind what later became known as the Snowtown murders — one of the most complex criminal investigations in Australian history.

In this episode we trace the social environment, the individuals involved, and the early patterns that allowed the crimes to remain hidden for years, until police entered a disused bank vault in the town of Snowtown in May 1999.

This episode is presented in a calm, documentary style and is based exclusively on verified public sources.

This episode was created entirely by AI using verified public sources.

For case suggestions or inquiries: crimecasebyai@yahoo.com

Hosted on Acast. See acast.com/privacy for more information.

The dark web is not chaos — it is structure.

In this AI Insight episode, we examine how criminal networks operate beneath the visible internet — using encryption, anonymity, cryptocurrency, and artificial intelligence to scale crime beyond geography.

We explore how AI is used both by criminals and by law enforcement, and why the real battlefield is no longer human — but algorithmic.

A short-form documentary companion to Crimecase By AI.

This episode was created entirely by AI using verified public sources.

For case suggestions or inquiries: crimecasebyai@yahoo.com

Hosted on Acast. See acast.com/privacy for more information.

On June 7, 1992, three women vanished from a quiet home in Springfield, Missouri.

No signs of forced entry. No struggle. No witnesses.

Inside the house, their personal belongings were untouched. Outside, the trail ended completely. Despite decades of investigation, the disappearance of Suzie Streeter, Stacy McCall, and Sherrill Levitt remains one of America’s most disturbing unsolved cases.

In this episode of Crimecase By AI, we reconstruct the final hours, examine the unanswered questions, and explore the theories that still haunt investigators today.

A documentary true crime case — told with restraint, facts, and respect for the victims.

PRODUCER’S NOTE

This episode was created entirely by AI and is based solely on verified public sources, including regional reporting, federal records, and established investigative journalism.

No speculation has been added. All narrative elements reflect documented facts from the ongoing investigation into the disappearance of The Springfield Three.

New episodes every Thursday.

SOURCES:

– Springfield News-Leader – archival reporting on the 1992 disappearance

– FBI – missing persons notices and investigative summaries

– NBC Dateline – interviews and retrospective coverage

– Springfield Police Department – public statements and case updates

This episode was created entirely by AI using verified public sources.

For case suggestions or inquiries: crimecasebyai@yahoo.com

Hosted on Acast. See acast.com/privacy for more information.