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Play 76

Accessibility Learning Agent

High✓ Designed

Screen reader-first, dyslexia-aware learning platform with multi-modal content adaptation.

Inclusive learning platform designed accessibility-first with support for screen readers, dyslexia-friendly rendering, and multi-modal content adaptation. Azure AI Speech provides high-quality text-to-speech and speech-to-text for hands-free learning, OpenAI adapts content complexity and format per learner profile, AI Vision processes visual materials into accessible descriptions, Container Apps hosts the adaptive interface, and Cosmos DB stores personalized accessibility profiles and learning progress.

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Architecture Pattern

Accessibility-first: profile detection → content adaptation → multi-modal delivery → progress tracking

Azure Services

Azure AI SpeechAzure OpenAIAzure AI VisionAzure Container AppsAzure Cosmos DB

DevKit (.github Agentic OS)

  • agent.md — root orchestrator with builder→reviewer→tuner handoffs
  • 3 agents — A11y Builder (gpt-4o), Reviewer (gpt-4o-mini), Tuner (gpt-4o-mini)
  • 3 skills — deploy (200 lines), evaluate (132 lines), tune (234 lines)
  • 4 prompts — /deploy, /test, /review, /evaluate with agent routing
  • .vscode/mcp.json — FrootAI MCP with OpenAI key input + envFile

TuneKit (AI Config)

  • config/openai.json — content simplification and adaptation prompts
  • config/accessibility.json — WCAG levels, dyslexia settings, speech profiles
  • config/guardrails.json — inclusivity standards, content safety
  • evaluation/eval.py — WCAG compliance >AA, User satisfaction >85%

Tuning Parameters

WCAG compliance levelDyslexia font/spacing settingsSpeech rate and voiceContent simplification levelVisual description detail

Machine evidence

FrootAI evidence lifecycle

This is an internal evidence maturity label, not third-party certification, accreditation, legal compliance, or a production guarantee. Missing or expired evidence demotes automatically; catalog claims cannot promote a play.

Designed
designed
build verified
evaluation verified

This play currently has design evidence only. A runnable scenario, endpoint evaluation, and build receipts are the next contiguous gates.

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Repo Intelligence

v1

A no-clone, revision-pinned map for agents and humans. Observed evidence is separated from inferred flow so the output stays useful without pretending to be a full call graph.

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