🎓 Cognitive Architecture Learning Path

Progress from basics to advanced agent orchestration.

Level 1: Fundamentals (Day 1-2)

Goals

• Understand cognitive architecture purpose
• Configure basic agents
• Run first workflow

Materials

• Read README.md - Overview
• Complete Quick_Start.md - Setup
• Read Softmax_Router.md - Core pattern

Exercises

1. Configure LLM provider
2. Create a simple agent
3. Run a single-round workflow
4. View execution trace

Level 2: Agent Development (Day 3-5)

Goals

• Create custom specialists
• Write effective prompts
• Define output schemas

Materials

• Read Specialist_Agents.md
• Complete Runbooks/agent_configuration.md
• Complete Runbooks/prompt_engineering.md

Exercises

1. Create a custom specialist agent
2. Define JSON output schema
3. Test agent in isolation
4. Integrate into router config

Level 3: Workflow Orchestration (Week 2)

Goals

• Configure multi-agent workflows
• Implement governance checks
• Tune performance

Materials

• Read Context_Snapshot.md
• Read Governance.md
• Complete Runbooks/performance_tuning.md

Exercises

1. Create multi-specialist workflow
2. Add governance validators
3. Tune convergence parameters
4. Benchmark workflow performance

Level 4: Advanced (Week 3+)

Goals

• Integrate with SEA™ Semantic Core
• Implement HITL escalation
• Build production workflows

Materials

• Read LLM_Integration.md
• Study SDS-006: Softmax Router Pattern
• Review SDS-031: Authority Boundaries

Exercises

1. Integrate with Knowledge Graph
2. Configure HITL escalation
3. Implement custom aggregator
4. Deploy production workflow

Assessment Checklist

• Can configure LLM providers
• Can create specialist agents
• Can define output schemas
• Can write effective prompts
• Can configure router workflows
• Can implement governance checks
• Can tune performance parameters