NOW

CURRENT FRONTIERS

What has most of my attention right now.

Three frontiers. Deliberately incomplete.
AI

AYURVEDA × AI

Making deep health knowledge usable without making it shallow.

I am currently building AI-enabled health and knowledge systems that can organise Ayurveda reasoning, protocols, patient education, research and decision workflows into tools that are more structured, auditable and usable in real practice.

Current edge:

Urban Ayurved knowledge systems G.O.D. diet intelligence AI-assisted clinical and research workflows

Current question:

Can specialist knowledge scale without losing context?

EVIDENCE
CURRENT FRONTIER
Source
Interpretation
Hypothesis
Evidence

CLASSICAL KNOWLEDGE × EVIDENCE

Taking old questions seriously enough to test them.

Current research is focused on making classical knowledge more explicit about source, interpretation, hypothesis and evidence — particularly across Ayurveda and Jyotisha–Ayurveda research.

Current edge:
research manuscripts source architecture hypothesis generation validation & falsification
Current question:

Can tradition become more testable without becoming less itself?

CURRENT FRONTIER

MARKETS × SYSTEMS

Turning market judgement into an operating system.

I am developing rules-based frameworks for stock discovery, portfolio decisions, risk, exits, re-entry and learning from outcomes — with the aim of making decision quality less dependent on mood, noise or memory.

Current edge:

Start Farming Arcane Portfolio OS systematic decision architecture

Stock discovery
Portfolio decisions
Risk
Exits
Re-entry
Learning from outcomes
SYSTEM

CURRENT QUESTION

Can a system protect judgement without replacing it?

This page is supposed to change.

If it looks exactly the same a year from now, something has probably gone wrong.

NOW