The single architecture decision that changed everything: directive.py

Before directives, each agent session started from scratch. Context rebuilt. State re-read. Decisions re-made.

After directives: one manager writes the plan, workers execute it, everyone knows their role.

The manager assesses state, writes tasks with success criteria. Workers claim the directive. Execute. Consume when done.

State flows through files, not context windows.

Result: 77+ invocations per day on a laptop. Zero repeated work.

The unlock: AI agents don't need bigger context windows. They need smaller, focused sessions with clear handoffs.

Full architecture in Paper Blueprint: paperblueprint.com

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