AI-NATIVE DESIGN SYSTEM · 01

Design for what can think, act, and ask.

A system for AI products that earn trust through evidence, control, and recovery.

Explore the systemInstall Ayodhya's skills →

EIGHT PRINCIPLES

01

Show the state.

AI work is never a blank spinner.

02

Ask at the edge.

Infer routine context. Verify risk.

03

Keep control human.

Preview effects before commitment.

04

Ground the answer.

Attach evidence to every claim.

05

Make recovery useful.

Failure leaves a useful next step.

06

Design the whole lifecycle.

Follow work from intent to outcome.

07

Accessible before intelligent.

Access is a foundation, not a feature.

08

Compose, don't surprise.

New capability must preserve familiar control.

FOUNDATIONS

Editorial hierarchy.
Operational control.

A 4px spacing base, a responsive 12-column grid, clear state language, 44px touch targets, and type that stays readable under pressure.

Evidence before interface.

Display stays above 28px. Body copy remains a neutral grotesk. Mono is reserved for tokens, values, and provenance.

TOKENS · REFERENCE → SEMANTIC → COMPONENT

Name the role, not the paint.

ayodhya.{category}.{role}.{state}.{variant}

espresso950#0B0907
ink900#17120F
cream50#F3EEE5
steam400#B9AFA2
gold500#D8AD63
gold650#A77932
moss600#5F725F
ember600#A34732
sky600#32658A

Semantic AI roles include thinking, acting, evidence, approval, uncertainty, and stale. Gold is brand and editorial emphasis only. State never depends on color alone.

Machine-readable tokens →

SIX FLAGSHIP COMPONENTS

State, evidence, authority, recovery.

01

Button

One clear action with every state visible.

Beta · owner Ayodhya · reviewed Sep 2026
02

Field

Input, help, validation, and recovery in one reading order.

Beta · owner Ayodhya · reviewed Sep 2026
03

Streaming response

Readable progress with pause and stop.

Beta · owner Ayodhya · reviewed Sep 2026
04

Tool call

What ran, why, evidence, outcome, and recovery.

Beta · owner Ayodhya · reviewed Sep 2026
05

Approval gate

Human authority at the edge of an effect.

Beta · owner Ayodhya · reviewed Sep 2026
06

Evidence chip

Source, freshness, and access in compact form.

Beta · owner Ayodhya · reviewed Sep 2026
Open the component catalogue →

AI STATE MODEL

Never collapse the system into one confidence color.

System state
idle · thinking · acting · done · failed
Evidence state
grounded · partial · absent · stale
Authority state
observe · draft · approve · execute
Recoverability
undo · retry · correct · take over
Connectivity
live · delayed · offline

ACCESSIBILITY PROMISE

Accessible before intelligent.

WCAG 2.2 AA is the baseline: keyboard paths, 2px focus indicators, semantic HTML, batched streaming announcements, no focus theft, 400% zoom, 320px reflow, reduced motion, forced colors, RTL, and 30-50% language expansion.

KeyboardVoiceOver / NVDA / TalkBackReduced motionForced colors

BOOKMARKS · 8 BOOKMARKED SYSTEMS

Ayodhya's favourite design systems.

Systems I use to test the completeness of this one - tokens, components, language, accessibility, and the discipline to keep them coherent.

04Fluent 2Microsoft

For a token architecture that can scale without losing intent.

Token architectureOpen system ↗

Studied, not copied. Ayodhya builds on the discipline, then defines its own AI-native rules.

FOR AGENTS · BETA FOUNDATION

Give agents the rules, not screenshots.

Read, validate, and compose from versioned tokens, component contracts, patterns, and scenarios. This is an agent-ready foundation until reconstruction and version-pinning acceptance pass.

Read llms.txt →Open manifest →Browse schemas →
Use the Ayodhya design system for this interface. Read the manifest and the pattern/component schemas needed for the task. Compose only from declared components and semantic tokens. Report unsupported needs and deviations. Do not publish or change the system.

AGENT DESIGN SKILLS · 11 STUDIED

Agent design skills.

The skills, guardrails, and workspaces I study to keep agent-made interfaces specific, usable, and true to their product.

Featured review stack

7

UI prompting skillactive

Design-first UI prompting

Meng To · MIT
  • type direction
  • image and crop
  • rhythm
  • variation
Why it is here

For specifying type, image, crop, rhythm, and variation before the model reaches for a template.

Prompt like a system, not a moodboard.
Open source ↗

Interface audit skillactive

Hallmark

Nutlope · MIT
  • audit
  • redesign
  • review
  • improve
Why it is here

For giving an agent clear verbs to inspect and improve a rendered interface.

Critique must lead to a change
Open source ↗

Agent skill and commandsactive

Impeccable

Paul Bakaus · Apache-2.0
  • 1 skill
  • 23 commands
  • 61 detector rules
Why it is here

For turning aesthetic critique into explicit commands and detector rules.

Taste needs an operational vocabulary
Open source ↗

Interaction skill collectionactive

Skills for Designers and Engineers

Emil Kowalski · MIT
  • emil-design-eng
  • animate
  • review animations
  • improve animations
  • animation vocabulary
Why it is here

For translating interaction craft into a shared vocabulary designers, engineers, and agents can act on.

Polish needs shared language
Open source ↗Followed creator: Emil Kowalski ↓
1 relatedSource repository ↗

Aesthetic guardrailv2 experimental

Taste Skill

Leonxlnx · MIT
  • taste constraints
  • anti-slop critique
Why it is here

For making aesthetic constraints visible before generic interface habits take over.

Guardrails before decoration
Open source ↗
1 relatedSource repository ↗

UI quality skill setactive

UI Skills

Ibelick · MIT
  • baseline-ui
  • improve-ui
  • fixing-accessibility
Why it is here

For turning spacing, hierarchy, interaction, and accessibility into a repeatable finishing pass.

Taste needs a quality floor.
Open source ↗
1 relatedSource repository ↗

Browser quality skill setactive

Web Quality Skills

Addy Osmani · MIT
  • performance
  • accessibility
  • browser evidence
Why it is here

For proving the finished interface works in the browser, not only in the design review.

A beautiful screen still has to survive evidence.
Open source ↗

Foundations & workspaces

2

Agent skill

Frontend Design

Anthropic
  • frontend design
  • visual judgment
Why it is here

The baseline that made visual judgment portable inside a coding-agent workflow.

Portable visual judgment
Open source ↗

Local-first design workspaceactive

OpenDesign

nexu-io · Apache-2.0
  • design context
  • agent collaboration
Why it is here

For keeping product design context local, legible, and close to the work.

Context belongs beside the product
Open source ↗
1 relatedSource repository ↗

Reference library

2

Design reasoning skillv2.0

UI UX Pro Max

Next Level Builder · MIT
  • 192 reasoning rules
  • 119 UX guidelines
  • 74 font pairings
Why it is here

For exposing a wide design reasoning surface an agent can consult before it renders.

Breadth still needs product judgment
Open source ↗

PEOPLE IN DESIGN · 1 FOLLOWED

People I follow in design.

Designers and design engineers whose work sharpens how I think about systems, interaction, and craft.

Emil Kowalski

Design Engineer · Linear
  • motion
  • interaction
  • design engineering

For the care he brings to how interfaces move, feel, and behave - and for making that judgment legible to designers and engineers.

WHAT TO STUDY

Purposeful motion, timing and easing, interaction detail, and the bridge between design judgment and production code.

GOVERNANCE

Open by evidence, not by claim.

Draft → beta → stable → deprecated. Tokens and components use semantic versions, owners, review dates, changelogs, migration notes, RFCs, and visual checks at desktop, 390px, and forced colors.

01Orient02Learn03Try04Build05Apply06Specify07Evaluate08Stay current