Developer of brain-inspired AI systems specializing in prefrontal cortex simulation and cognitive augmentation.

Where it lives

The workflow is implemented in workflow.py.

Stages (nodes)

  • task_delegation (DLPFC)
  • emotional_regulation (VMPFC)
  • reward_processing (OFC)
  • conflict_detection (ACC)
  • value_assessment (MPFC)

Delegation

DLPFC produces a response that includes an AGENT DELEGATION section. parse_agent_assignments() extracts which specialist stages to run and stores them as delegated_agents.

Progress tracking

After each stage, get_next_stage() selects the next stage by comparing:

  • total delegated agents (delegated_agents)
  • completed agents (agent_responses)

This avoids manual stage mutation bugs and keeps routing deterministic.