Wonbeen Lee wbeen / AI Product Ops notebook

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

Start here

  1. 01
    Read the thesis

    Why this is a knowledge product, not a portfolio.

  2. 02
    Use a workflow

    Choose your current work state and the next useful action.

  3. 03
    Inspect the index

    See the agent-readable structure at /llms.txt.

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

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-workflow#ai-coding
Lab 03

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 04

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-pipeline

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
building
What it tests
Whether one site can serve human readers and AI agents from the same typed content source.
Public artifact
website (in progress)
Related
personal ai operating site one day prototype · why im building a personal ai operating site
View project detail →
2026-07-04 #knowledge-product#ai-readable
Project

Prompt Hotbar

Status
active
What it tests
A keyboard-first workspace for finding, organizing, and reusing the AI instructions that recur throughout real work.
Public artifact
tool
Related
a prompt library is not enough · ai product planning team capability · evidence first ai workflow · prompt hotbar local mcp pilot
View project detail →
2026-08-05 #ai-workflow#productivity
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

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