Play 57
AI Translation Engine
Context-aware multilingual translation with domain glossaries and quality scoring.
Real-time multilingual translation engine supporting 100+ languages with context-aware domain-specific glossaries. Combines Azure AI Translator for base translation with OpenAI for nuance, cultural adaptation, and quality scoring. Features human review queues for high-stakes content, batch processing pipelines, and CDN-backed delivery for global low-latency access.
Architecture Pattern
Hybrid translation: base translator + LLM refinement, quality gating
Azure Services
DevKit (.github Agentic OS)
- agent.md — root orchestrator with builder→reviewer→tuner handoffs
- 3 agents — Translation Builder (gpt-4o), Reviewer (gpt-4o-mini), Tuner (gpt-4o-mini)
- 3 skills — deploy (252 lines), evaluate (128 lines), tune (167 lines)
- 4 prompts — /deploy, /test, /review, /evaluate with agent routing
- .vscode/mcp.json — FrootAI MCP with Translator + OpenAI key inputs + envFile
TuneKit (AI Config)
- config/openai.json — refinement and cultural adaptation
- config/guardrails.json — quality thresholds, language coverage
- evaluation/eval.py — BLEU >0.80, Quality gate >90%
Tuning Parameters
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.
This play currently has design evidence only. A runnable scenario, endpoint evaluation, and build receipts are the next contiguous gates.
Repo Intelligence
v1A 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.