AI Agents & Orchestration

Building AI systems that act — autonomous agents, multi-agent workflows, tool use, and orchestration frameworks.

Retrieval-augmented agent architecture diagram with control flow, document retrieval, and role orchestration layers
MAX guide 12 min

How to Build a Retrieval-Augmented Agent with LangGraph, LlamaIndex, and CrewAI in 2026

How to Build a Retrieval-Augmented Agent with LangGraph, LlamaIndex, and CrewAI in 2026 TL;DR

Browser-agent three-layer architecture: decision model, action surface, and sandboxed browser environment.
MAX guide 15 min

How to Build a Browser Agent with Anthropic Computer Use, OpenAI Operator, and Browser Use in 2026

How to Build a Browser Agent with Anthropic Computer Use, OpenAI Operator, and Browser Use in 2026 …

Three-layer orchestration stack: durable workflow on top, agent state machine in the middle, data pipeline at the base
MAX guide 15 min

How to Build a Production AI Workflow with LangGraph, Temporal, and Prefect in 2026

How to Build a Production AI Workflow with LangGraph, Temporal, and Prefect in 2026 TL;DR

Three-layer architecture for safely running model-generated code: planning, tool wrapper, and isolated sandbox runtime
MAX guide 14 min

How to Build a Code Execution Agent with E2B, Daytona, and Claude Agent SDK in 2026

How to Build a Code Execution Agent with E2B, Daytona, and Claude Agent SDK in 2026 TL;DR

AI agent trace with nested spans, token counters, and tool-call timing in LangSmith, Langfuse, and OpenTelemetry GenAI
MAX guide 16 min

Instrument an AI Agent: LangSmith, Langfuse, OTel GenAI (2026)

Instrument a production AI agent with LangSmith, Langfuse, and OpenTelemetry GenAI semconv in 2026 — span design, SDK …

Specification blueprint for routing, caching, and budget control across production AI agent stacks
MAX guide 16 min

How to Cut Agent Costs with OpenRouter, Helicone, and LiteLLM (2026)

A specification-first guide to cutting agent API spend with OpenRouter routing, Helicone and LiteLLM prompt caching, and …

Specification blueprint for retry, fallback, and self-correction loops in production AI agents
MAX guide 14 min

How to Build Retry, Fallback, and Self-Correction in AI Agents (2026)

A specification-first guide to retry with backoff, durable execution via LangGraph and Temporal, and Pydantic AI …

Layered guardrail components wrapping an autonomous agent runtime in production
MAX guide 15 min

Agent Guardrails 2026: NeMo, Llama Guard, Claude SDK Hooks

Build agent guardrails that survive production. Stack NeMo input rails, Llama Guard 4 classifiers, and Claude Agent SDK …

Approval gate diagram: agent paused before a high-stakes action while a human reviews approve, edit, or reject
MAX guide 14 min

Adding Human Approval Gates to AI Agents Without Killing Throughput

Stop your agent from sending the wrong email or paying the wrong invoice. Spec-first guide to human approval gates in …

Stateful AI agent architecture combining LangGraph checkpointer, Mem0 memory layer, and Zep temporal knowledge graph
MAX guide 15 min

Build a Stateful Agent with LangGraph, Mem0, and Zep in 2026

Stateful agents need three storage layers, not one. Wire LangGraph, Mem0, and Zep into an agent that survives restarts …

Three-layer specification for catching agent regressions before they reach users in 2026
MAX guide 14 min

Agent Evaluation Pipeline: LangSmith, Braintrust, DeepEval (2026)

Specify a three-layer agent eval pipeline — DeepEval in CI, Braintrust for experiments, LangSmith for production traces. …

Decision flowchart comparing LangGraph, CrewAI, AutoGen, and LlamaIndex Workflows for agent framework selection in 2026
MAX guide 12 min

Which Agent Framework Fits? Matching State, Control, and Scale

Choosing between LangGraph, CrewAI, AutoGen, or LlamaIndex Workflows in 2026? Decompose your agent system, match …

Multi-agent system architecture diagram: supervisor routing, agent handoffs, and shared state across LangGraph, CrewAI, and OpenAI SDK
MAX guide 14 min

Choose Your Multi-Agent Topology Before You Pick a Framework

A specification-first guide to building multi-agent systems in 2026. Learn when to pick LangGraph, CrewAI, OpenAI Agents …

Planning agent decision framework: pattern selection and validation for ReAct, Plan-and-Execute, Reflexion, and ReWOO across LangGraph, CrewAI, and AutoGen in 2026
MAX guide 15 min

Planning Agents in Practice: ReAct, Plan-and-Execute, and Reflexion

Planning agents fail when frameworks come before patterns. Match ReAct, Plan-and-Execute, Reflexion, or ReWOO to your …

Layered architecture for adding persistent memory to AI agents using Mem0, Letta, and Zep across episodic and semantic recall
MAX guide 18 min

Persistent Memory for AI Agents: Mem0 vs Letta vs Zep (2026)

Spec a persistent memory layer for AI agents with Mem0, Letta, or Zep. A four-step decomposition for choosing the stack …