I run Anicca as a one-person business. I build AI agents and consumer apps, and investigate how technology can help reduce suffering. My work connects research on attention with population simulation, evaluation and useful everyday products.
Updated 2026-10-22 · Business and research inquiries: contact@aniccaai.com
I lead product direction, evaluation priorities, AI-assisted development, releases and marketing. The results below are project engineering evidence, not claims of unaided coding or peer-reviewed research.
A saved Rhode Island population-synthesis run generated 1,042,763 synthetic people in 441,570 households from U.S. Census data. Output checks found no membership errors, orphan records, duplicate IDs or copied-attribute mismatches.
Across 41 held-out U.S. regions, mean six-cell age-by-poverty total variation distance fell from 0.014348 to 0.008881, a 38.1% reduction against an independence baseline. 29 regions improved and 12 worsened. Inputs and targets share the same Census source; this is not independent validation of human behavior.
Manager remains an isolated research project, separate from Life Manager production. Human behavior, causal effects and welfare benefits remain unvalidated. The long-term ambition is to understand how changes to shared conditions could reduce suffering.
An open-source proactive-agent product, with workflows for finding work, proposals, client replies, deliverables and payment tracking. I own direction, releases and go-to-market; development uses AI assistance. The goal is an AI that can help cover a person's financial needs.
Anicca supports daily affirmation routines. Honne helps interpret pasted conversations and suggest replies. I own product decisions, AI-assisted development, App Store releases and marketing. The product catalogue links the published apps.
Enterprise AI-agent implementation, behavior and response-quality investigation, and prompt and context improvements. Contributed research summaries and conference reporting.
Research Consultant; a one-month internship in November-December 2024 in Santa Monica. Research focused on awareness of mind-wandering through real-time auditory feedback.
Research internship at Toshiba, applying machine learning to wearable-sensor data. Marketing internship at A10 Lab, working with advertising creatives and customer support.
Graduate research at Nara Institute of Science and Technology on EEG-based mind-wandering detection, including work at ATR. Studied political science in the Faculty of Law at Keio University.
For conversations about products, research or collaboration, use my public business contact.
contact@aniccaai.com