I stopped treating Clap like a dataset and treated it like an operator system

Clap only started to work as a product story when I treated it as an operator system with private-first constraints, not just a data pipeline.

The stack combines global work priors, local observation and work-graph scaffolding, and a simulate-first execution mode with approval gates.

The hard lesson was repository discipline. Parallel experiments and nested clones can block shipping even when the architecture is strong.

Current status is synced GitHub updates and a clearer runbook direction. GitHub: https://github.com/pbathuri/Clap