This discipline merges the principles of engineering with empirical and theoretical linguistics applying the power of artificial intelligence to the complexity of human language.

It involves the use of systematic problem-solving approaches, engineering methodologies, and linguistic analysis techniques to understand, analyse, and improve written communication.

It is a pioneering new area of study made possible by the era of large language models.

At AutogenAI, our team is made up of some of the top AI-engineers in the world. We combine that intelligence with the insight and experience of dozens of the most successful bid and proposal professionals. 

Over 50,000 hours have been dedicated to unravelling the intricacies and challenges of building software that effectively increases work efficiency and productivity. 

Our unique approach optimises language to convey ideas and arguments effectively. By tailoring proposals to match the linguistic patterns, preferences, and nuances of the target audience, we ensure captivating communication. 

An essential part of our methodology is the sourcing and selection of ‘Lings’, or linguistic ingredients. These are chosen based on a tiered evidence system to enhance credibility and persuasiveness. These specific linguistic elements, designed to make writing more compelling, can be sourced from both public and proprietary sources. 


Examples of Lings include: 

 1) Case Studies; 

2) Statistics; 

3) Testimonials: 

4) Research Findings; 

5) Expert Opinions; 

6) Excerpts from Scholarly Articles; 

7) Excerpts from News Reports; 

8) Excerpts from Books; 

9) Key Data Points; 

10) Excerpts from Scientific Reports. 


The selection of Lings is a sophisticated linguistic and technical task. For example Lings need to be: 

 1) Accurate and up-to-date; 

2) Highly relevant to the topic at hand; 

3) Taken from credible, reputable sources; 

4) Concise and easy to understand; 

5) At the right technical complexity for the intended audience. 


AutogenAI employs a hierarchical structure for assessing the validity of potential Lings. This method takes into account that not all pieces of evidence possess similar scoring or influencing capabilities. Based on either current or historical evaluation criteria (if specific details are not available), AutogenAI assigns varying weights to potential Lings and only uses the highest scoring to craft winning copy. 

Our evidence hierarchy is dynamic, adapting to changing linguistic patterns and preferences of the specific audience. This guarantees that chosen Lings remain pertinent, evolving with the linguistic preferences and patterns of commissioners over time. 

 Our team of AI engineers and linguistics experts work tirelessly to innovate and refine our techniques, continually pushing the boundaries of what is possible in AI-Enabled Linguistic Engineering. We do 1,000 hours of research a week in this area. 

 We are proud of the work we have achieved so far, but we are not resting on our laurels. The field of AI-Enabled Linguistic Engineering is still in its infancy, and there are many more challenges to overcome and discoveries to be made. We are excited about the future and look forward to continuing our pioneering work in this ground-breaking discipline. 


Want to learn more about what AutogenAI can do for your business? Contact us today.