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1. INDEX PAGE: JB-GPT's AI TUTOR—MILITARY HISTORY 

2. LINK: FREE SUBSTACK MAGAZINE  JB-GPT's AI TUTOR MILITARY HISTORY  

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Copyright Notice: This AI-generated research prompt is an original compilation and structured work produced as part of the JB-GPT PROMPTS project. While individual prompts may not qualify for copyright protection under standard AI-generated content rules, the format, structure, curation, and selection of material are protected as a creative compilation. This work should only be used, cited, or reproduced with proper attribution to the JB-GPT PROMPTS project and the source page (https://www.jb-gpt-prompts.com/air-power-ai-tutor). Authorized use with acknowledgment would be appreciated.

AI TUTORING SYSTEM—AI IN WARFARE 

A structured, source-based guide to over 120 years of military air power

Overview
This AI tutor is a way of using artificial intelligence to support focused study of AI Warfare. Drawing on academically credible sources, it offers a series of concise, linked prompts—that together provide a clear chronological overview of AI Warfare development.

Each prompt encourages active learning through questioning, critique, and follow-up. Designed to work alongside the reading of books and papers, it helps clarify key ideas, frame deeper inquiry, and build the foundation for more advanced study.

How It Helps

• Flexible access: Available across AI platforms, anytime

• Engaged learning: Supports debate, challenge, and exploration

• Reference-based: Grounded in academic and doctrinal sources

• Structured prompts: Each includes glossary, key points, citations, and follow-ups

• Chronological range: Covers major developments in military air power from 1903 to now
  
  

Suggested Uses

• Prepare for PME, staff college, or university courses

• Explore doctrinal debates and historical case studies

• Develop essay topics, briefs, or wargame material

• Identify areas for further reading and research
  
  

Reminder
This is a study tool—designed to guide and extend understanding. Combined with thoughtful reading, it can provide a solid base for serious engagement with the history, theory, and application of air power. The following instructions are included in every AI Tutor Post.

Copy and paste everything on this page below this line, into the AI of your choice. Fill in or delete where indicated.

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AI INSTRUCTIONS

• Preferred use references from: https://www.jb-gpt-prompts.com/jb-gpts-military-references

• FOR THIS QUESTION, THE AI CAN USE ANY RESOURCES TO WHICH IT HAS ACCESS. IT IS NOT RESTRICTED TO THE APPROVED BIBLIOGRAPHY.

• If additional references are used, they must be drawn from reputable and scholarly sources. These may include academic publications, books from established historians, official government documents, respected think tanks, and recognized academic institutions such as leading universities.

• For follow-up question:

• Provide 5 (or change number) numbered key points (40–60 words each), with author, book title, and chapter.

• Add a separate Harvard-style bibliography.

• Suggest 3 more follow-up questions.

• Use clear language—no specialist jargon.

Follow-Up Questions (Delete those you don't use, or create your own e.g,, expand on key point four).

DEFINITION: ARTIFICIAL INTELLIGENCE IN WARFARE
“Artificial Intelligence (AI) refers to systems and processes that perform tasks traditionally requiring human cognition—such as decision-making, pattern recognition, prediction, and learning. In a military context, AI enhances command and control, enables autonomous systems, optimises logistics and targeting, and accelerates information processing beyond human speeds.”—AI and War: Ethics and Challenges (Wyatt, 2024, Ch. 1: "Defining Military AI").

AI IN WARFARE PROMPTS

1. 1917 – Predictive Artillery Algorithms: Early Fire-Control Computation in World War I

2. 1918 – Mechanical Cryptography: Rotor Machines and the Birth of Cipher Automation

3. 1943 – Bletchley Park and Proto-AI: Codebreaking Algorithms as Early Cognitive Machines

4. 1944 – U.S. Codebreaking Cracking Soviet Ciphers While Still Wartime Allies 

5. 1945 – Manhattan Project Decision-Support Systems: Early Computational Logic in Strategic War Planning

6. 1947 – Cold War Machine Translation: US-Japan Automated Language Systems for Intelligence

7. 1950 – Turing’s Military Logic Machines: Conceptual Frameworks for Decision Algorithms

8. 1957 – SAGE System: Semi-Automatic Ground Environment for NORAD Air Defence Coordination

9. 1961 – Vietnam-era Sensor Fusion: AI-Adjacent Tech for Jungle Surveillance

10. 1965 – DARPA Origins: Birth of Military AI Research Funding Structures

11. 1971 – Operation Igloo White: Data-Driven Target Prediction in the Ho Chi Minh Trail

12. 1983 – Able Archer and Decision Automation: AI-Influenced Escalation Risk Modelling

13. 1986 – SDI’s AI Ambitions: The ‘Star Wars’ Project and Predictive Target Tracking

14. 1991 – Gulf War Smart Targeting: Algorithmic Filtering in Airstrike Planning

15. 1999 – Kosovo Air Campaign: Use of AI-assisted Satellite Reconnaissance

16. 2001 – Project Maven Foundations: Post-9/11 Image Recognition and Target Discrimination

17. 2003 – Iraq Invasion: Early Use of AI in Tactical Routing and Logistics Coordination

18. 2010 – ISR Optimisation in Afghanistan: AI-Supported Analysis of Drone Feeds

19. 2016 – AlphaGo and DoD: Lessons for Autonomous Strategy in Military Wargaming

20. 2018 – Project Maven Public Reveal: Google’s Role in AI for Drone Warfare

21. 2020 – Azerbaijan-Armenia War: Autonomous Loitering Munitions with AI Guidance

22. 2022 – Ukraine Conflict: AI for Targeting, Deception Detection, and Operational Planning

23. 2024 – US Joint All-Domain Command & Control (JADC2): AI for Cross-Service Decision Synchronisation

24. 2024 – Israeli ‘Grim Beeper’ Counter-Missile System: AI Sound Profiling for Rocket Interception

25. 2024 – Ukraine’s AI-Enhanced EW Spoofing: Digital Camouflage and Signal Deception at Scale

26. 2024 – NATO AI Fusion Centres: Integration of Multinational ISR and Targeting Data in Real Time

27. 2024 – Russian Use of AI for Social Media PsyOps: Automated Narrative Shaping on Western Platforms

28. 2025 – Ukraine Deploys Swarm Drone AI: Low-Cost Coordination Algorithms for Saturation Strikes

29. 2025 – Israeli AI in Tunnel Warfare: Detection and Mapping of Subterranean Networks in Gaza

30. 2025 – Israeli AI for Human Target Discrimination: Real-Time Classification in Dense Urban Environments

31. 2025 – Israeli AI-Controlled Sensor Balloons: Persistent Surveillance and Real-Time Strike Coordination

32. 2025 – Ukraine’s AI-Based Artillery Fire Correction: Real-Time Target Adjustment Using UAV Feedback

33. 2025 – Ukraine-Russia AI Drone Duelling: Neural-Network-Controlled Counterdrone Interception Systems

34. 2025 – China’s Maritime AI Network: South China Sea Monitoring via Autonomous Underwater Vehicles

35. 2025 – US Strategic Command Implements AI in Nuclear Decision Support Trials 

36. 2025  – JUNE—AI in the Ukraine-Russian War