Blood Royal: A True Tale of Crime and Detection in Medieval Paris

Eric Jager

A riveting true story of murder and detection in 15th-century Paris, by one of the most brilliant medievalists of his generation. On a chilly November night in 1407, Louis of Orleans was murdered by a band of masked men. The crime stunned and paralyzed France since Louis had often ruled in place of his brother King Charles, who had gone mad. As panic seized Paris, an investigation began. In charge was the Provost of Paris, Guillaume de Tignonville, the city's chief law enforcement officer--and one of history's first detectives. As de Tignonville began to investigate, he realized that his hunt for the truth was much more dangerous than he ever could have imagined. A rich portrait of a distant world, BLOOD ROYAL is a gripping story of conspiracy, crime and an increasingly desperate hunt for the truth. And in Guillaume de Tignonville, we have an unforgettable detective for the ages, a classic gumshoe for a cobblestoned era.

True Crime & JusticeTrue Crime & Justice · medium confidenceTrue Crime & Justice81 signalsLlm Classifier: True Crime & Justice -> True Crime & JusticeGoogle Books: History -> HistoryKeyword Classifier: Biography -> BiographyCrime, Policing & ViolenceHousing, Cities & Urban LifeTravel, Exploration & PlaceHuman Rights & International Law
Experimental book profileGenerated by GPT-5.4 nano · may contain inaccuracies

This is an unverified interpretation of the catalog description, offered as an opt-in discovery experiment—not as bibliographic fact.

  1. 01 Central figures

    • Louis of Orleans92%
    • Guillaume de Tignonville86%
  2. 02 Central places

    None extracted with sufficient confidence.

    These suggestions did not meet the normal display threshold and are more likely to be wrong.

    • Paris62%
  3. 03 Suggested argument

    No argument inferred with sufficient confidence.

  4. 04 Reading orientation

    32 / 100 academic

    Serious trade

    An estimate of intended readership and scholarly apparatus—not quality or importance.

Confidence percentages are the model's own estimates. Profile confidence: 48%.