Understudy design language · v2.0

Make the work visible.

Understudy Optimizes the Complete LLM Production Route

01 house assistantidentity = shape · activity = breath
actorunderstudy
delegationorbit active
statelearning

01 · principles

Every choice explains the system.

01

Evidence earns attention.

Show the trace, comparison, result, or system state.

02

Color has a job.

Color identifies an actor, operation, or outcome.

03

Motion explains work.

Breath, orbit, transfer, and promotion carry meaning.

04

Structure stays quiet.

Hairlines and spacing create hierarchy before panels do.

05

Complexity stays inspectable.

Name every actor, threshold, and result.

02 · model color

A small palette with exact jobs.

AnthropicOpenAI
Closed models
Anthropic · OpenAI
Competitor identity. Shape separates the vendor.
mint
#9EDBD3
Active candidate.
amber
#F2B34C
Data-taking and supervised training.
violet
#A78BFA
Search, lineage, and critic.
cyan
#67E8F9
Trace and parallel route.
promoted
#6EE7A0
Passed gate. Earned result.

03 · visual grammar

Shape identifies the actor.

03A open modelvisible core
03B closed modelAnthropic
03C closed modelOpenAI

04 · operations

Mint and cyan carry the work.

04B RLM · recursivesame compute
one 31b
fifteen 2b · map, reduce
04E RL · policy learningGRPO · group mean
candidate policy
samplegroup-relative signal
six outcomes · ranked together
group mean
additional operations

Use the phase-card shell to compare operational ideas. Select one to inspect the full pattern.

candidate answerEscalate after two failed authentication attempts.
human calibration

Does this answer follow the rubric?

Reject left. Accept right. The next candidate is revealed from the stack.

0 accepted · 0 rejected

05 · typography

Mono for structure.Sans for reading.

05A
Test. Learn.
Deploy. Repeat.

IBM Plex Mono carries identity, controls, model labels, data, and short declarative headlines.

05B
Production traces show which model actually works for your workload.

IBM Plex Sans carries explanation, documentation, and dense product prose.

06 · components

Quiet structure. Exact emphasis.

actions and state

evidence before claim

held-out evaluation · run 21+13%
incumbent
0.357
candidate v5
0.409

07 · content design

Say the claim.Show the evidence.Name the action.

VOICE
Use the data you have. Build the model you need.

Direct

Make one clear point per statement. Do not repeat it in clauses.

Earned confidence

Use results and examples that a reader can inspect.

Data-first

Name the metric, baseline, evaluation set, and result.

Unapologetic

Challenge the default. Do not attack the people who chose it.

weak

Unlock powerful optimization capabilities across your AI ecosystem.

understudy

Compare every model on your workload. Deploy the one that wins.

08 · surface profiles

One language. Four registers.

field

Model theater

Black field. Bright actors. Meaningful motion.

website

Warm technical

Editorial spacing. Paper, ink, stamp, and mint evidence.

native

Operational

Surface tiers, native reading type, exact model state.

paper

Readable evidence

LMAB, reports, documents, and long-form proof.