Wonbeen Lee wbeen / AI Product Ops notebook
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A personal knowledge product for AI‑era product work.

Essays, copy-ready prompts and templates, lab notes, and machine-readable indexes from one product manager's AI operating system — public notes on AI Product Ops, agentic workflows, and AI-ready knowledge systems.

Articles · Prompts · Templates · Labs · Projects · Skills · llms.txt Who’s behind this?
Selected routes 01 / 05

Agent Society

A small society behind the work.

I don’t use one assistant for everything. Personal and Work agents divide research, routing, memory, watching, publishing, and execution — each with a durable role and a small motion identity.

PERSONAL 10 WORK 4
Meet the agents →

Library

Reusable assets for the work in front of you.

Each library item ships with its use case, required input, and expected output — ready to copy into real work.

This library starts small. Each item is meant to be reusable, public-safe, and can be connected to a real workflow when the next action calls for it.

Lab notebook

Experiments, recorded like experiments.

Every lab note keeps the same structure — hypothesis, setup, result, next iteration — so the record stays honest and comparable.

Lab 01

Chat Conversation Mining for Public Knowledge

Hypothesis
Long AI chat sessions contain publishable assets worth extracting.
Tool / setup
Conversation-to-Source Extractor — Extraction prompt run over exported working sessions, outputs staged for boundary review
Result state
observed
Next iteration
Automate the public/private boundary check before publishing instead of reviewing manually.
View lab note →
2026-07-04 #knowledge-capture#extraction
Lab 02

From Canonical Profile to Essence: Designing a Motion-Ready Identity System for AI Agents

Hypothesis
A durable agent identity can survive in a small UI surface if silhouette, color ownership, signature motif, and motion grammar are treated as one identity system rather than as decoration around a portrait.
Tool / setup
Astro · CSS · SVG · vanilla JavaScript — Fourteen public-safe Agent Society identities were distilled from Canonical Profiles into small Essence forms, then implemented with autonomous idle behavior, local desktop cursor awareness, mobile autonomous motion, and reduced-motion fallbacks.
Result state
observed
Next iteration
Test the same Essence identities on lower-density surfaces such as Home and operating navigation without letting motion compete with the site's knowledge content.
Artifact
Interactive artifact →
View lab note →
2026-09-03 #agent-ux#visual-identity
Lab 03

Multiplatform Context Handoff

Hypothesis
AI coding session의 결과물뿐 아니라 작업 맥락, 금지사항, 검증 결과, 다음 행동을 구조화해 남기면 다른 agent나 repo로 작업을 더 안전하게 이어갈 수 있다.
Tool / setup
ChatGPT · Claude Code · Codex CLI · Antigravity · Markdown · JSONL · GitHub — ChatGPT(전략/prompt), Claude Code(구현), Codex CLI(생성/검증), Antigravity(IDE 실행) 등 멀티 플랫폼 환경 간 handoff artifacts 전달 실험
Result state
observed
Next iteration
Agentic Handoff Brief template과 Universal Context Handoff CLI를 함께 사용해 repo-to-repo handoff 품질을 비교한다.
View lab note →
2026-07-07 #agentic-workflows#context-handoff
Lab 04

Personal AI Operating Site 1-day Prototype

Hypothesis
A personal site can read as a knowledge product, not a portfolio.
Tool / setup
Fable 5 · Astro — single-page prototype → external evaluation → DESIGN.md → Astro scaffold
Result state
running
Next iteration
Compare the v0.2 scaffold against acceptance criteria; fix whatever still feels portfolio-ish.
View lab note →
2026-07-04 #prototype#knowledge-product
Lab 05

Public Knowledge Router: Turning Raw AI Conversations into Publishable Knowledge Assets

Hypothesis
The public/private routing pipeline can be shown, not just described, in a static-site interactive.
Tool / setup
Astro · vanilla JS — Self-contained Astro component at /labs/public-knowledge-router — keyboard-first routing, pointer drag as enhancement, agent-view pipeline, SVG asset map; no backend.
Result state
running
Next iteration
Collect feedback on whether the agent view makes the markdown-mirror and llms.txt concepts legible to first-time visitors.
Artifact
Interactive artifact →
View lab note →
2026-07-08 #knowledge-capture#publishing

Projects

Longer arcs the lab notes feed into.

Projects here are running experiments with public artifacts — not finished case studies.

Project

Personal AI Operating Site

Status
active
What it tests
A public-safe personal knowledge product that serves human readers and AI agents from the same typed content source.
Public artifact
website
Related
personal ai operating site one day prototype · why im building a personal ai operating site
View project detail →
2026-08-17 #knowledge-product#ai-readable
Project

Universal Context Handoff

Status
active
What it tests
A local-first CLI and assistant skill for preserving AI coding session context across repositories and tools like Claude Code, Codex CLI, and Antigravity. Built as a practical handoff protocol, not a cloud memory system.
Public artifact
tool
Related
agentic handoff brief
View project detail →
2026-07-07 #ai-workflow#developer-tools
Project

Prompt Hotbar

Status
active
What it tests
A keyboard-first workspace for retrieving reusable AI instructions and reviewed operational references at the moment they are needed.
Public artifact
tool
Related
a prompt library is not enough · ai product planning team capability · evidence first ai workflow · prompt hotbar local mcp pilot · prompt hotbar local first preference layer
View project detail →
2026-08-31 #ai-workflow#productivity

More project objects land here as experiments mature. Each one arrives with a status, a public artifact, and the lab notes that fed it.

Publishing boundary

Every note passes a boundary check before it ships.

This is the public layer of a private knowledge system. Each item is classified before publishing — that is what keeps this layer safe to read, copy, and crawl.

public

Publishable as-is. Ships to pages, feeds, and the AI-readable layer.

generalized

Publishable after company and personal context is removed and generalized.

review

Needs a human boundary check before anything ships.

private-only

Never published. Stays in the private knowledge base, full stop.

AI-readable layer

Two layers, one source of truth.

This site has a human-readable layer and a machine-readable layer. AI agents should start from /llms.txt and use only public, curated content.

agent read path /llms.txt /llms-full.txt /content-graph.json /md/[type]/[slug].md canonical page

Public, curated content only. The private knowledge base never ships to this layer.

/llms.txt
# Personal AI Operating Site

> Public-facing, AI-readable knowledge product focused on
> AI Product Ops, agentic workflows, reusable prompts/templates,
> and public lab notes.

## Start here
- /articles
- /notes
- /prompts
- /templates
- /labs
- /projects

## Policies
- Public, curated content only
- Markdown mirror available under /md/
- Full index: /llms-full.txt

## Boundary
- visibility: public | generalized only
- private-source and private-only never ship

Collaboration

Open to good conversations.

If the notes here overlap with problems you are working on, a short conversation is welcome. Read the fit list first — it saves both of us time.

Good fit

  • AI Product Ops and execution systems
  • Agentic workflows and MCP in real product work
  • AI-ready knowledge systems for teams
  • Practical AI adoption for product teams

Not a fit

  • Generic AI hype content or ghost-written thought leadership
  • Building login/payment/community platforms
  • Anything that requires sharing private or client-confidential context