tcpsyn c7aac1b373 Make AI callers more dynamic with arcs, seeds, style gradients, and learning
- Conversation arc system: callers evolve through Opening → Building → Turn →
  Depth → Wind down stages, with style-based timing offsets
- Problem seeds: 80 short concept strings that the LLM expands into unique
  stories each time (50% of PROBLEMS picks use seeds vs full entries)
- Style gradients: 4 composable axes (energy, honesty, humor, confidence)
  with 625 combinations, used 50% of the time alongside handcrafted styles
- Call duration tracking: records metrics to data/call_metrics.json, learns
  which pools and style axes produce longer calls, nudges future picks ±15%

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-12 06:21:09 -06:00
Description
AI Radio Show - web-based podcast production with multiple TTS providers
11 MiB
Languages
Python 76.7%
HTML 12.5%
JavaScript 5.2%
CSS 3.4%
Lua 1.9%
Other 0.3%