Multiple organizations are partnering to conduct the Ready Relevant Learning (RRL) Prize Challenge to resolve the Navy’s problems with instructional systems design (ISD) analysis for training to improve military readiness and human performance.


The goal of this RRL challenge is to develop initial proof of concept prototypes using artificial intelligence (AI) large language models to automate conducting ISD analysis and requirements development for RRL. The question the challenge seeks to address: Can AI large language models develop quality task analysis, learning analysis, and media selection data in reduced time and reduced cost?


Primary judging criteria will focus on innovation, risk mitigation, feasibility & integration, ease of integration, impact & expansion, and robustness of the solution. The first, second and third place finishers will receive cash awards of $75,000, $55,000 and $35,000, respectively.


Naval Air Warfare Center Training Systems Division (NAWCTSD) has always highlighted its primary concerns in four focus areas: speed, the customer, availability, and affordability of the training products employed. Of those concerns, speed has always been the priority in maintaining a better-trained force over peer and near-peer adversaries.


NAWCTSD leadership has also consistently emphasized the concepts of “raising the bar” and “bending the curve” in the context of training. “Raising the bar” amounts to “trying harder” in training, but “bending the curve” (the Navy’s preference) involves transforming the quality of the training itself to exponentially improve outcomes and produce higher-quality warfighters in the same amount of time.


Interested parties who wish to compete can learn more specific information about the challenge during a virtual information session scheduled for Oct. 3. at 3:00 p.m. Registration to participate is currently open, but will close on Oct. 30, 2023.


Other agencies partnering to host this challenge with NAWCTSD include the Central Florida Tech Grove, the Office of Naval Research, and National Security Innovation Network.


For more information on the RRL challenge, go to


To register for the virtual information session on Oct. 3, go to:

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