Growth Engine

Growth Engine

Autonomous growth experimentation framework based on Karpathy's autoresearch pattern applied to marketing. Creates experiments with hypotheses, logs data points, runs statistical analysis (bootstrap CI + Mann-Whitney U), auto-promotes winners to a living playbook, and suggests next experiments. Supports batch mode (up to 10 variants simultaneously).

Core Rules

1. Always check the playbook before creating new content — apply proven best practices first.
2. Winner threshold: p < 0.05 AND ≥ 15% lift. Winners auto-promote to the playbook.
3. Use batch mode (--batch-mode) for 3-10 variant tests.
4. Run scripts/pacing-alert.py to monitor campaign health; exit code 1 = alerts present.
5. Do not run this engine for one-off content creation — apply playbook output directly instead.

References

• references/commands.md — full CLI reference for all commands with recommended workflow
• references/configuration.md — required and optional environment variables, pacing alert vars, dependencies