AI Meeting Summarizer & Action Tracker
Transcribe meetings in real-time, generate concise summaries with key decisions, and automatically extract and assign action items to team members.
Speech-to-Text
Transcribe meeting audio into timestamped, speaker-diarized text
LLM Summarization & Extraction
Process transcripts to generate structured summaries, decisions, and action items
Vercel AI SDK provides structured output via generateText + Output.object() to reliably extract summaries, decisions, and action items into typed schemas
LangChain's document chain and output parsers handle long transcript chunking and structured extraction for meetings that exceed context windows
DSPy's programmatic prompt optimization can improve extraction accuracy for action items and deadlines without manual prompt engineering
Workflow Orchestration
Chain transcription, summarization, action extraction, and notification steps into a reliable pipeline
n8n's visual workflow builder connects calendar triggers, transcription, LLM summarization, and task creation in tools like Notion or Linear with minimal code
Temporal provides durable execution guarantees for long-running meeting pipelines, automatically retrying failed steps like notification delivery
Prefect handles scheduling recurring meeting processing jobs with built-in observability and retry logic for each pipeline stage
Observability & Evaluation
Monitor summarization quality, track LLM costs, and evaluate extraction accuracy over time
Langfuse traces each LLM call in the pipeline, tracking latency, cost, and summary quality scores to catch degradation in extraction accuracy
Phoenix provides AI observability with evaluation tools to measure whether action items are correctly attributed and deadlines accurately extracted