AI PRODUCT · OPEN SOURCE · SPEECH

I turn hard AI problems into tools people can use.

I’m Jayden, an AI product builder and independent researcher working across agent workflows, speech evaluation, and practical AI products.

01 / Selected work

Products, tools, and open research.

Each project starts with a concrete problem and ends with something others can inspect, use, or reproduce.

MeowFinder guide for finding a hiding cat
PUBLIC-WEB PRODUCT2026

MeowFinder

A multilingual, scenario-based guide that helps people find hiding cats using familiar sounds and evidence-informed search steps.

Evidence chain for ASR-roundtrip false negatives in Chinese news TTS
RESEARCH · PAPER · DATA2026

When ASR masks TTS errors

A reproducible study showing why ASR-roundtrip evaluation can miss context- and convention-dependent pronunciation errors.

02 / Research thread

From measuring pronunciation to questioning the measurement.

Two releases form one research arc: build a scalable benchmark, then investigate a blind spot in the automated evaluation itself.

01

Production problem

Written news forms change spoken meaning.

Scores, model names, units, abbreviations, and mixed strings are common—and easy for TTS systems to misread.

02

Open benchmark

Evaluate targets from raw input.

CN-NewsTTS Bench releases a fixed public test, multi-ASR transcripts, scoring code, initial results, and a leaderboard.

03

Evaluation audit

ASR can “correct” what listeners hear.

Human audits and cross-model controls reveal false negatives that automated round-trip checks can conceal.

2open research releases
2arXiv papers
2archived datasets
View ORCID

03 / More tools

Small, focused systems.

Experiments and utilities that turn recurring friction into a repeatable workflow.

Claude-Codex Bridge workflow

AGENT WORKFLOWJavaScript

Claude-Codex Bridge

A local, CLI-first bridge for bidirectional Claude Code and Codex review loops.

View on GitHub

04 / About

Product judgment, backed by working systems and inspectable evidence.

I work at the boundary between AI product design and technical investigation. My projects usually begin with an ambiguous real-world failure—then become a tool, benchmark, dataset, or public product that makes the problem easier to understand and act on.

I’m especially interested in evaluation, agent workflows, speech products, and the details that determine whether an AI system is genuinely useful outside a demo.