Research, prototypes, and applied systems

Building small systems to understand large changes.

Pallas Analytics is my working archive for prototypes at the edge of AI, judgment, data, and institutional change. The projects here are experiments in making complex decisions more visible: regulated model review, GxP execution, publishing intelligence, climate-to-sensory risk, and the future of work.

What this is

A landing page for research directions, working prototypes, and the product questions behind them.

The through-line is not a single product. It is a way of working: take an ambiguous domain, build a concrete interface, test what data and architecture can support, and use the prototype to learn what the real problem is.

Prototype archive

Projects

Each project page follows the same structure: the problem, architecture, data, prototype, and what the work taught me.

01 regulated operations Regulated Pipeline CRM Turns validation plans, requirements, approvals, and operating signals into a live GxP execution pipeline. 02 regulated AI Regulated AI Sandbox A governed model evaluation environment built for reviewability, evidence, and deployment decisions. 03 platform build RegulatoryModels Platform The deeper implementation track for control planes, sandbox runs, evidence packages, and reviewer exports. 04 publishing intelligence Translation Scout Moves foreign-market coverage and rights signals into a ranked scouting pipeline. 05 critic intelligence Good Reviews Ranks reviewer and critic fit from Goodreads exports, review data, source catalogs, and taste vectors. 06 climate and sensory data ClimateSensory Explores climate, sensory quality, and supply-chain risk for wine, coffee, vanilla, vetiver, lavender, and perfume materials.

Future of work

Research on apprenticeship, curriculum, and professional agency stays in its own lane.

This work is adjacent to the prototypes, but it has a different purpose. It asks how entry-level work, apprenticeship, judgment, and curriculum should change as AI becomes part of ordinary professional practice.

01 working paper Entry-Level Work Is Apprenticeship Infrastructure How early-career work teaches judgment, context, and professional agency. 02 working paper The Junior Analyst Problem What changes when entry-level analysis is accelerated, automated, or abstracted away. 03 working paper The Hidden Curriculum of Office Work The informal skills students learn only after entering professional environments. 04 working paper The AI Apprenticeship Audit A framework for where AI supports, weakens, or reshapes learning on the job. 05 working paper From Prompt Literacy to Professional Agency Moving beyond tool fluency toward judgment, authorship, and critical adoption.

Method

Prototype first, then decide what deserves to become a product.

Use research to identify where decision-making is messy, tacit, or trapped in static documents.
Build an interface that makes the workflow visible enough to critique.
Trace the data sources, assumptions, and gaps instead of hiding them behind a polished demo.
Let the prototype reveal what architecture, governance, and product surface the domain actually needs.

Contact

Prototype development, research, and applied AI systems.

Reach out to discuss prototype development, research collaborations, curriculum work, or the design of applied AI systems where the hard part is not the model alone, but the judgment around it.

Open the contact form