Code Conjurer AI for Game Development Prototypes (AI in Everything Everywhere)

Code Conjurer is a hands-on guide for indie devs, game designers, and creative technologists wanting to build AI-enhanced game prototypes. The book walks through procedural generation, AI-driven NPC behavior, automated playtesting, enemy design, and level visualization-so you can iterate complex mechanics without starting from scratch.
Using TensorFlow, scikit-learn, Pandas, and MatDescriptionlib/NetworkX, you'll learn to:Generate game content (levels, textures, layouts) from dataModel NPC behavior and decision pathsAutomate gameplay test suites and find edge casesDesign AI-driven enemies and balancing heuristicsPredict player behavior and adapt difficultyVisualize level graphs, movement heatmaps, pathfindingBuild ethical guardrails: fairness in difficulty, transparent rules, test isolationEach chapter includes full code samples, architecture diagrams, evaluation metrics, and tips for integration into Unity/Unreal prototypes or tooling pipelines. If you code in Python, you can bring AI prototypes into your games.
Who it's for: game devs, prototypers, technical designers, AI creatives.
What you'll need: Python basics, free tooling (Colab, open datasets).

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