one or more processors operating in conjunction with computer memory and one or more non-transitory computer readable storage mediums, the one or more processors configured to:

receive and tokenize the input string from the user;

route the tokenized new utterance string to the plurality of natural language processing agents to receive one or more response confidence score values each corresponding to a corresponding natural language processing agent;

query one or more profile data structures associated with the user to obtain one or more probability values, each associated with a corresponding domain specialization or operating characteristic of each of the plurality of natural language processing agents;

based at least on a combination of the one or more response confidence score values and the one or more probability values, assign a primary natural language processing agent; and

generate the output response data structure using at least the assigned primary natural language processing agent;

wherein the profile data structure is a data structure representing bifurcated interaction decision elements that have been adjusted over a set of prior recorded interactions by the user or one or more similar users; and wherein the data structure is traversed to obtain the one or more probability values;

wherein if two or more probability values are greater than a threshold value, an additional verification is conducted to present a bifurcated decision interaction between the two or more natural language processing agents corresponding to the two or more probability values greater than the threshold value to identify the primary natural language processing agent, and the profile data structure is updated based on the selection obtained from the additional verification such that the profile data structure is biased towards the selection in future traversals.