Prompt size at turn 12
44× smallerCrystal footprint vs raw-accumulating at the final turn. Crystal: 1,204 tokens. Raw accumulating: 53,475 tokens — 44× larger and growing every call.
A prepared library of public agency guidance, labeling conventions, submission terminology, safety communications and approval history for regulatory-affairs teams. Start the free trial with the reference layer, and add authorized product material only when you choose to.
Free for 7 days. Card required. Monthly credit allowance included.
Three arms, same underlying model, same question set — no context, raw-accumulating, hosted crystal. At turn 12 the crystal sent 1,204 tokens; the raw arm sent 53,475 — 44× more, compounding every call.
Crystal footprint vs raw-accumulating at the final turn. Crystal: 1,204 tokens. Raw accumulating: 53,475 tokens — 44× larger and growing every call.
A formatting rule planted at turn 1 was checked deterministically every subsequent turn. No-context broke it 1 time (11 / 12 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, Pharma Regulatory Affairs vertical, The same model 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.
Free for 7 days, then a workspace subscription. Card required. It starts with a shared public agency reference; product material is connected when you decide.
12,000,000 credits/mo
Up to 36M raw-token-equivalent of shared regulatory reference, queryable from day one.
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.
Classify an agency position before drafting. Example question: “Which guidance topics bear on this submission question?”
Check labeling and safety wording against public conventions. Example question: “How is this kind of warning usually structured in public labeling?”
Compare public approval packages and review chronology. Example question: “How did earlier public reviews summarize this kind of evidence?”
$9,000/mo after the free trial. Or talk to us about a rollout built around your team.