We are sharing this framework for transparency (and science).

Tweaking the behavior of a token machine with a structured approach. EDWARD VON DER SCHMIDT 27 MAY 2026 (UPDATED 29 MAY 2026) The "Life" of a Prompt What happens when we prompt a generative AI model? Typically, "transformers" convert or "encode" symbols like text or media into sets of numbers. These inputs are first broken down into components or "tokens" and transformed into coordinates (vectors). This "context" is woven or filtered through a numerical field of weighted pro

How do we know an AI model running DRAP is actually following instructions? Logs!

Like a student rushing a single draft of a paper before it is due, generative AI models write once and neglect to check their work. By creating a system prompt to instruct the model how to write, review, and revise on its own, we can mitigate error propagation and improve the caliber of responses. In the methodology for recursive analysis though procedural semantic programming and its template, the Datum Research Analytical Process (DRAP) v1.0, we use natural language to teac

How will you know "DRAP" is working? The proof is in the prompting.

Introducing our first, open-source semantic program for people and AI.

Thought is a process. We can teach AI models how to think by telling them.