A tool for the half-awake

You are probably halfread too.

An AI tool for BaZi + Zi Wei chart analysis. A book about you, for those who have half-woken up.

What does halfread mean?

The state after you have been through it. Not enlightenment, not pretending to sleep.

This is where more and more people actually live —

They are not unawake. They are halfread. Still on the way.

halfread does not teach you to fully wake up.
It sits with you, until you want to.

AI gets the first step wrong.

Most people hand AI a birth time and ask for an analysis. The output reads fluently, but it conflates two very different layers: calculation and interpretation.

BaZi chart calculation depends on calendar rules — solar terms (节气), month-pillar boundaries, hour-pillar divisions, time zones, daylight-saving corrections. A confident-sounding answer can still be built on a wrong chart.

Direct prompt (fragile)

Birth time → AI → narrative. Calendar rules invisible. No checkable chart.

Two-layer flow (verifiable)

Birth time → calculator → Markdown chart → AI. Each step inspectable.

Calculate first. Interpret second.

01

Enter birth data

Solar or lunar date, time, and location. The tool resolves time zone and historical DST automatically.

02

See the calculation basis

Year / Month / Day / Hour pillars, plus the solar term boundary and the rule applied for each pillar.

03

Copy clean Markdown

One-click export of the chart in a format that survives a copy-paste into ChatGPT, Claude, or any LLM.

04

Ask AI to interpret

Now the AI is reading a verified structure — not generating one. Ask better questions; get steadier answers.

One calculator. Two systems.

BaZi (Four Pillars) and Zi Wei Dou Shu, side by side. The interface is in Chinese; the chart export is in clean, AI-friendly Markdown.

BaZi can be read as fortune-telling, but ming-yun treats it as a structured time system with explicit calendar rules. The tool is built and maintained by an independent engineer, not a master. The aim is rule-consistency and process transparency — not prediction accuracy. Take the output as a study artifact, not life advice.