- 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>
Description
AI Radio Show - web-based podcast production with multiple TTS providers
Languages
Python
76.7%
HTML
12.5%
JavaScript
5.2%
CSS
3.4%
Lua
1.9%
Other
0.3%