Routing

Flat, static, machine-facing surface. Every conversation, every reading, every cast, and every source text — one row apiece, four JSONL indexes, cross-linked. The substrate the Starmap will render on top of.

The Mandala Oracle produces four kinds of artifact:

Conversations — witness sessions with Johannes Sigil, each turn preserved. Auto-appended to alexanarch.org/book/.

Readings — the divinatory acts. A reading opens on a source text, arrives at specific units, rotates through operators, produces casts.

Casts (transforms) — the actual enantiomorphs. Each cast applies one operator (SHADOW, MIRROR, BRIDE, THUNDER, SILENCE, BEAST, INVERSION, FLAME) to a source passage and produces its counterform, with verification and commentary.

Source texts (expansions) — the primary works. Each expansion holds a corpus's unit basis and every cast made against it.

This surface exposes all four as flat JSONL, cross-referenced. Nothing is generated at request time; the four indexes are built from book/ and served static.

Collections

conversations
·
Every witness session, with source texts referenced, readings consumed, and casts triggered.
readings
·
Every divinatory reading, with source text, cast selection, operator rotation, and produced casts.
casts
·
Every operator-transform, flat-out from expansions. Each has an operator, verification, anchor, source passage hash, enantiomorph hash.
sources
·
Every primary text corpus in the mandala, with unit basis, transform count, and operators used against it.

Browse

conversations
readings
casts
sources
Each row: axn · turn count · references to source texts / readings / casts. Snippet is the first user turn.
Each row: axn · source_text_id · question gloss · cast selection · linked casts (transform_ids).
Each row: transform_id · source_text_id · operator · anchor · verification · compiler model. Verifications: PASS = ✓ green, else red.
The six primary text corpora that the mandala has cast against. Each shows transform count, reading count, operators used, and unit basis.