RESULTS

Every claim ships with
a baseline and a method.

We only publish numbers you can reproduce: what the workload is, what it was compared against, and how it was scored.

01 · CRM workflow

Restructured instructions, higher scores

We restructured the instructions for customer-record updates and added edge-case examples. Scores rose with no model change at all.

Read the full write-up →
+18pt
eval score lift
0.91
final score
0
model swaps
3wks
time to ship
02 · Ops workflow

Constrained output + fine-tune, far less latency

We locked down the output format and fine-tuned a small model for the task. Response times dropped sharply while quality held steady.

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-72%
P50 latency
-64%
P95 latency
≈
quality parity
4.1x
throughput
03 · Warehouse labeling

Open model labels at scale

An open-weight model labeled millions of rows, and we compared its output against commercial models. Note: this measures agreement, not absolute accuracy.

Read the full write-up →
-93%
cost per label
96.4%
agreement rate
2.3M
rows labeled
1
open model
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