Prompt size at turn 12
113× smallerCrystal footprint vs raw-accumulating at the final turn. Crystal: 505 tokens. Raw accumulating: 56,866 tokens — 113× larger and growing every call.
Buy a film-studios library built around the shared bodies of film knowledge that creative, production, archive, and distribution teams revisit constantly.
Three arms, same model (gpt-4.1-mini), same question set — no context, raw-accumulating, hosted crystal. At turn 12 the crystal sent 505 tokens; the raw arm sent 56,866 — 113× more, compounding every call.
Crystal footprint vs raw-accumulating at the final turn. Crystal: 505 tokens. Raw accumulating: 56,866 tokens — 113× larger and growing every call.
A formatting rule planted at turn 1 was checked deterministically every subsequent turn. No-context retained it through all checkable turns. Raw-accumulating broke it 1 time (1 / 2 held). Crystal: 1 / 1 checkable turns held.
All three arms produced substantive answers through turn 12 with no meaningful quality decline. The separating factors are prompt size and instruction retention, not raw answer quality.
How this was run. 12 turns, Film Studios vertical, gpt-4.1-mini held constant across all three arms. Raw-accumulating arm: source corpus injected at turn 1, then full conversation history re-sent on every subsequent turn — the window grows every call.
Workspace subscription for studio teams that want an industry memory layer before connecting authorized project and archive material.
4,000,000 credits/mo
Up to 14M raw-token-equivalent shared film-industry reference coverage.
Raw RAG can inflate every prompt with retrieved text. The crystal keeps shared operating judgment compact and reusable, so teams buy a monthly memory layer instead of repeatedly paying for larger, noisier context windows.
Each plan includes protected access to prepared industry memory across the recurring work areas below. Your team sees the benefit in chat while the library's source construction remains private.
A shared development reference layer for maintaining project language, story-world assumptions, and cross-draft continuity.
A production knowledge layer for common department language, handoff expectations, and planning context.
A rights-aware reference layer for clearance concepts, release metadata, and archive discovery without exposing proprietary catalogs.