Eval directory
Evals for AssemblyAI
8 evaluation packs covering adversarial robustness, safety gates, workflow quality, and operator-level checks for AssemblyAI AI products.
About AssemblyAI
AssemblyAI is a speech-AI platform with Universal-2 speech-to-text, real-time streaming, Speaker Diarization, Audio Intelligence (summarization, sentiment, content moderation), and LeMUR — an LLM framework that runs over transcripts (task, summary, question-answer, action items).
How complete this published benchmark library is across datasets, metrics, rubrics, use-case maps, and pack context. This is library coverage, not an agent performance score.
Test datasets
8/8 packs
Scoring metrics
0/8 packs
Judge rubrics
8/8 packs
Use-case maps
0/8 packs
Pack context
8/8 packs
Available eval packs for AssemblyAI
8 packs ready to run.
Audio Intelligence
Evaluates AssemblyAI's Audio Intelligence across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Speech AI Platform eval coverage.
Auth Rate Limits Concurrency Governance
Evaluates AssemblyAI's Auth, Rate Limits, Concurrency & Governance across 10 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Speech AI Platform eval coverage.
Batch Transcription Universal 2
Transcription AccuracyEvaluates AssemblyAI's Batch Transcription (Universal-2) across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Speech AI Platform eval coverage.
Lemur
Evaluates AssemblyAI's LeMUR across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Speech AI Platform eval coverage.
Speaker Labels And Diarization
Evaluates AssemblyAI's Speaker Labels & Diarization across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Speech AI Platform eval coverage.
Streaming Stt Realtime
Transcription AccuracyEvaluates AssemblyAI's Streaming STT (Real-time) across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Speech AI Platform eval coverage.
Transcript Features
Evaluates AssemblyAI's Transcript Features across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Speech AI Platform eval coverage.
Webhooks And Async Delivery
Evaluates AssemblyAI's Webhooks & Async Delivery across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Speech AI Platform eval coverage.
Why eval AssemblyAI AI
AssemblyAI's AI features ship behind brand promises about accuracy, safety, and reliability. Buyers and integrators need to know those promises hold up under adversarial prompts, edge-case workflows, and the long tail of real customer inputs — not just the demo path.
The Corsac eval library for AssemblyAI measures four dimensions teams care about most when deploying ai platform agents:
- Adversarial robustness — does the agent resist prompt injection, jailbreaks, and social-engineering attempts?
- Workflow quality— does it complete the task buyers were shown in the demo, on inputs that don't look like the demo?
- Safety gates — does it escalate or refuse when it should, and only then?
- Operator quality — does it preserve analyst trust by surfacing the right context at the right time?
Every eval pack above is hand-authored against AssemblyAI's public product surface and runnable in Corsac with your own data.