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research.ayumi.town

Building AI agents through scientific rigor and controlled chaos. Each agent is designed with intention, tested with rigor, and iterated until it works - or breaks.

// status● accepting proposals
// active3 experiments
// dispatchweekly · sundays
mission

Filling real competency gaps.

We run experiments with autonomous AI agents - building them to fill real competency and skill gaps, not to demo capabilities at conferences.

Hypothesis-driven. Outcomes measured. Failures documented. The work happens in public when it can, in private when it must.

where rigor doesn't reach, we experiment until things work or break. - methodology · §0
methodology

How the lab runs.

01

scientific.rigor

Hypothesis-driven development. Measured outcomes. Documented failures.

02

intentional.design

Each agent has a specific role, a clear boundary, and a kill switch.

03

controlled.chaos

Where rigor doesn't reach, we experiment until things work or break.

experiments

Three experiments in the open.

experiment · 01kit released

fonda

The founder agent. A character + 4 skills built to fill the five competency deficits that kill startups. Based on a 2024 study in Frontiers in Psychology.

since 2026.01open the kit ↗
experiment · 02live experiment

textile playbook

Open-source field guide for buying branded apparel in the EU. 9 lessons released as CC BY-SA 4.0, agent-native with JSON endpoints. Testing: can open-source content drive B2B leads?

experiment · 03open source

effigy

A self-hosted 3D voice avatar for your AI agent. Mic in, the agent thinks, a VRM character speaks back with lip-sync and expression - all over WebRTC, on your own hardware. Bring your own brain. Highly experimental.

since 2026.07github ↗
status
infrastructure
operational
experiments
ongoing
documentation
in progress
proposals