Methods and apparatus for contextually intelligent graph generation

A method, comprising:

• receiving serially each natural language prompt from a plurality of natural language prompts;
• as each natural language prompt from the plurality of natural language prompts is received and without waiting for remaining natural language prompts from the plurality of natural language prompts to be received, identifying at least one pattern based on that natural language prompt by inputting that natural language prompt into a generative artificial intelligence (AI) model, a plurality of patterns resulting from the plurality of natural language prompts being input into the generative AI model;
• as each natural language prompt from the plurality of natural language prompts is received and without waiting for remaining natural language prompts from the plurality of natural language prompts to be received, updating a graph based on the at least one pattern associated with that natural language prompt and without using a template, a modified graph resulting from the graph being iteratively updated based on the plurality of patterns;
• and
• reformatting the modified graph to generate a reformatted graph, the reformatted graph displayed via a user interface that is at least one of a no-code user interface or a low-code user interface and that receives a set of user inputs and generates a set of responses to the set of user inputs generated based on the reformatted graph.

An apparatus comprising:

• a memory;
• and
• a processor operatively coupled to the memory, the processor configured to:
• receive a first natural language prompt;
• input the first natural language prompt into a large language model (LLM) to identify a first pattern;
• generate a graph based the first pattern and at a no-code user interface;
• receive a second natural language prompt that includes a representation of a desired modification;
• input the second natural language prompt into the LLM to identify a second pattern;
• and
• update the graph, at the no-code user interface, based the second pattern and without generating a new graph, to generate a modified graph that incorporates the desired modification.