Synthetic data generator with programmable control for synthesizing high-quality SPRs (distilled, compacted knowledge reps) as MD matrices.

This solution achieves the automation of extremely high-quality scientific research analysis, verification, distillation, and knowledge application.

A verification engine for knowledge grounding, bias unraveling, and approximating truth in a world of noise and misinformation.

The official distillation engine for the Nerority AI Community. Specialized for distilling advanced knowledge, terminology, and vasts amount of dialogue, into structured insightful reports.

This is a multi-turn system for the purpose of accessing and expanding a user’s English vocabulary, in coherence with their native language. Start by entering your native language (even if its English) and then follow the flow.

For personalized lesson plan design, and module-based learning path creation. Has many use-cases both in educational design for learners, for setting up ICL environments for hyper-learning, and for advanced Student-Teacher setups.

This is a hyperspace-focused meta-prompt, aiming to rapidly expand out an input task from many different perspectives, to give you fast exposure to the solution space possibilities.

One of my infamous meta-ICL hyper-training prompts. I have personally used this to much success. This prompt seeds a valuable meta-process, but it is completely dependant on your data. This works like base-training the LLM, except in reverse, with defined anchors.

This is a prompt transformer hyper-focused on the best possible prompt-based feature selection. I use this frequently as an input feature selection layer for prompt generators.

This is a simple, but focused prompt transformer, specialized for formalized unstructured prompts through a simple scaffold. I use this myself to quickly structure prompts into templates to save, and it works well for that, to maintain original logic, compared to most transformers.

This is a highly refined zero-shot prompt generator, completely open-ended and designed to leverage the newest models and only collapse around high-level anchors. Extremely powerful for controlled expansion of any input, into a multi-layered hierarchical meta-prompt template, with a specialized functor.

This is a structured prompt template generation engine, that emergently works based off of a given prompt scaffold. I provide several of my own in the master prompt library.