## OpenAstro: Cross-Tradition Reflection

Start with the date of birth and select your preferred traditions. Choose a few neutral tasks to land the ideas in practice.

What is this form?

A prototype that aligns vocabularies (Western, Mayan/Tzolk’in, I Ching, Vedic, Chinese) and offers optional, neutral suggestions. It respects pluralism.

### 1) Minimal input

Date of birth A minimal anchor many systems can reference. Time (optional) Adds nuance in some traditions (e.g., ascendants, houses, nakshatras).
What can be inferred from minimal data?

- High-level archetypes (e.g., “initiation”, “care”, “refinement”).
- Rhythm or timing hints (cycles, tones, hexagrams, mansions).
- Useful language for reflection—not fixed fate statements.

### 2) Preferred traditions (choose any)

Western (Zodiac) Mayan (Tzolk’in) I Ching (Hexagrams) Vedic (Nakshatras) Chinese (Zodiac/Branches)
Why multiple?

Each tradition brings its own ontology. OpenAstro favors bridges over “one size fits all”.

### 3) What kind of reflection do you want?

Self-reflection Planning & cadence Relational insight
About tone & safety

- Customize and extend your agency scope.
- Language stays neutral; opt-in depth.
- Traceable bridges (what maps to what) in later versions.

### 4) Land it in neutral tasks

Pick a few lightweight actions to try this week.

Do (A, B, C) Kick-off a micro-task Care for basics Quick unblock for someone Refine one thing
Get (X, Y, Z) Insight Token Credit Money
Why rewards?

They avoid moralizing and keep the tone productive, playful, light, and trackable.

### 5) Optional depth

Show cross-bridges Show lineage notes Plain-language mode
Design principles

- Pluralism: multiple valid lenses.
- Traceability: explicit mappings (future spec).
- Consent & tone: reflective, non-deterministic.
- Accessibility: gentle defaults, optional depth.

### 6) Consent

I understand this is reflective, not predictive, and opt-in to explore.
What happens next?

In a functional version, your selections would display cross-tradition language plus the tasks/rewards you picked.