Prompt size at turn 12
38× smallerCrystal footprint vs raw-accumulating at the final turn. Crystal: 1,389 tokens. Raw accumulating: 53,368 tokens — 38× larger and growing every call.
Healthcare Compliance plan
Compliance teams need regulatory memory before policy judgment.
Buy a healthcare compliance library built around shared privacy, billing, accreditation, and audit context before adding internal policies.
Multi-turn benchmark
One configuration forgot its instructions. One didn't.
Three arms, same model (gpt-4.1-mini), same question set — no context, raw-accumulating, hosted crystal. At turn 12 the crystal sent 1,389 tokens; the raw arm sent 53,368 — 38× more, compounding every call.
Instruction retention
No-context forgotA formatting rule planted at turn 1 was checked deterministically every subsequent turn. No-context broke it 2 times (1 / 3 held). Crystal: 1 / 1 checkable turns held.
Answer quality — 12 turns
No degradation detectedAll 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, Healthcare Compliance 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.
Subscription
$5,500/mo for Healthcare Compliance.
Workspace subscription for compliance teams that need shared regulatory, billing, and audit context before internal policy material is connected.
Monthly allowance
7,500,000 credits/mo
Up to 24M raw-token-equivalent shared healthcare compliance reference coverage.
Why this can cost less
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.
Context crystals
Representative coverage.
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.
Privacy and Security
A privacy-reference layer for public guidance, safeguards language, breach concepts, and policy alignment.
- Privacy obligation topic taxonomy
- Safeguards language consistency review
- Incident and breach concept cues
Billing and Coverage
A billing-context layer for public reimbursement concepts, coverage language, and documentation expectations.
- Billing-rule concept orientation
- Coverage documentation checkpoints
- Coding and reimbursement language cues
Accreditation and Audit
An audit-readiness layer for accreditation terminology, evidence expectations, and regulatory review language.
- Accreditation standard topic cues
- Audit evidence sufficiency checks
- Corrective action language patterns