LangGraph for multi-step/autonomous (state machine + checkpoint). CrewAI for multi-agent collaboration. LangGraph more mature for production.

Model Context Protocol — Anthropic's open-source vendor-neutral tool spec. Standardises agent tool calls.

Are autonomous agents safe?

'Fully autonomous' prohibited in production; HITL mandatory for irreversible actions (email, payment).

How accurate is the cost estimate?

Roughly calculated from use-case + complexity + budget; actual cost can vary 50-200% with retries, tool calls, context bloat.

Agents are black-box; impossible to debug production issues without trace + token + cost + eval.

Support bot tracking customer identity, assistant remembering user profile, etc. — vector DB pattern for long-term.

AI Interactive Tools

From use-case + complexity + budget + region to 7-layer agent blueprint + HITL matrix + cost.

Definition

AI Agent Architecture: Structural design of an LLM-based application capable of autonomously chaining multiple steps (tool calls, memory, planning) for a goal. 12 layers: orchestration, model routing, memory, tools, retrieval, planning, human approval, guardrails, observability, eval, security, runtime.; Also known as: AI agent architecture, LangGraph, CrewAI, MCP, agentic AI, ReAct, eval harness

Use-Case

ComplexityTopology

Monthly Requests

Human Approval (HITL)Data Residency

MemoryLatency SLA

BudgetEval Rigor

Prefer open-source modelsStreaming responses

Set parameters on the left and click 'Generate Blueprint'.

LangGraph for multi-step/autonomous (state machine + checkpoint). CrewAI for multi-agent collaboration. LangGraph more mature for production.