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Chapter 6.1 — Total cost of AI systems

🧠 Conceptual formula

Total cost =
  input_tokens + output_tokens
  + embeddings + retrieval + reranking
  + tool calls + storage
  + observability + evals
  + retries + retraining
  + human review
  + serving_infra
  + incidents

📊 Cost units

Unit Why it matters
Cost per call Basic estimate
Cost per step Bottlenecks in the agent
Cost per task The main product metric
Cost per journey Long workflows
Cost per tenant Chargeback / showback
Cost per error Retries and failures can dominate spend
Cost per eval Continuous tests consume budget
Cost per success Real efficiency (cost/success, not cost/call)
Cost per human review Latency and human operation enter