Why AI Agents Shouldn’t Calculate Bazi Charts From Memory

Description and use

<p><em>A calculation-first MCP server for Four Pillars, True Solar Time, and auditable chart data</em></p> <p>Large language models are good at explaining ideas in natural language. They are much less reliable when a task depends on exact calendar conversion, timezone rules, solar-time correction, or repeated symbolic lookups.</p> <p>Bazi, also called the Four Pillars of Destiny, contains all of those requirements. A chart depends on a recorded birth date and time, the correct timezone and daylight-saving rule, the calendar convention being used, and sometimes a True Solar Time correction base

Problem

<p><em>A calculation-first MCP server for Four Pillars, True Solar Time, and auditable chart data</em></p> <p>Large language models are good at explaining ideas in natural language. They are much less reliable when a task depends on exact calendar conversion, timezone rules, solar-time correction, or repeated symbolic lookups.</p> <p>Bazi, also called the Four Pillars of Destiny, contains all of those requirements. A chart depends on a recorded birth date and time, the correct timezone and daylight-saving rule, the calendar convention being used, and sometimes a True Solar Time correction base

Outcome

<p><em>A calculation-first MCP server for Four Pillars, True Solar Time, and auditable chart data</em></p> <p>Large language models are good at explaining ideas in natural language. They are much less reliable when a task depends on exact calendar conversion, timezone rules, solar-time correction, or repeated symbolic lookups.</p> <p>Bazi, also called the Four Pillars of Destiny, contains all of those requirements. A chart depends on a recorded birth date and time, the correct timezone and daylight-saving rule, the calendar convention being used, and sometimes a True Solar Time correction base

Evidence

Why AI Agents Shouldn’t Calculate Bazi Charts From Memory

Source