Diagram Index¶
Canonical diagrams extracted from the current whitepaper.
| File | Concept | Suggested doc |
|---|---|---|
cac_logic_core__constraint_math_strategy.png |
Logic Core Agents (Constraint / Math / Strategy) | whitepaper/05_logic_core.md |
cac_traditional_vs_cac__analog_vs_compute.png |
Traditional consulting vs Consulting-as-Code™ | whitepaper/02_why_consulting_failed.md |
cac_full_system_architecture__inputs_to_outputs.png |
Full system architecture (Inputs → SCI → Logic Core → Discovery → Outputs) | architecture/SYSTEM_ARCHITECTURE.md |
cac_sci_engine__9_agents_discovery.png |
Strategic Call Intelligence (SCI) Engine (9 agents) | whitepaper/06_multi_agent_engine.md |
cac_ai_discovery_engine__6_agents_strategy_to_board.png |
AI Discovery Engine (6 agents) | whitepaper/06_multi_agent_engine.md |
cac_parallel_reasoning__sequential_vs_parallel.png |
Parallel reasoning vs sequential consulting | whitepaper/07_parallel_reasoning.md |
cac_new_economics__category_transformation.png |
New economics of strategy (category transformation) | whitepaper/11_new_economics.md |
cac_llm_vs_logic_core__probability_vs_truth.png |
LLMs vs Logic Core (probability vs truth) | whitepaper/03_why_llms_fail_at_strategy.md |
cac_trust_gap__neuro_symbolic_solution.png |
Strategic trust gap & neuro-symbolic solution | whitepaper/04_neuro_symbolic_architecture.md |
cac_core_components__neural_vs_symbolic.png |
Core components overview (Neural networks + Symbolic logic) | whitepaper/04_neuro_symbolic_architecture.md |