Call and mail sample generator

Configuration

Output folder i

Working directory (fixed on server): /app/.web_work

Number of calls / mail threads i

Estimate: ~0 MB storage, ~$0.00 API cost.

GPT Model i

Company Name i

Company Info (Text) i

Call center Info (Text) i

Setup i

Tip: use an LLM to adapt this JSON to your use case (domain, taxonomy, metadata rules, and allowed field values).

Number of fictional call center employees i

Output Format i

Sample Rate i

Bitrate (e.g. 128k) i

Speed Factor (e.g. 1.0) i

Generate call metadata (scenarios, dimensions, clusters)

Artifacts: —

Generate call transcripts from metadata

Artifacts: —

Evaluate metadata quality and distributions

Artifacts: —

Evaluate transcript length vs. metadata targets

Artifacts: —

Synthesize call audio (text-to-speech + sidecar JSON)

Artifacts: —

Post-process audio (format, bitrate, sample rate, speed)

Artifacts: —

Generate customer–service email threads (JSON + EML)

Artifacts: —

Dummy mode (skip external APIs, no costs) i

No job started yet.

Full server path: /app/.web_work