Guide Articles

Step-by-step guides and tutorials for AI tools, frameworks, and implementations. Practical how-to content for developers and practitioners.

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Defense-in-depth pipeline diagram showing data provenance, ART scanning, and ML-BOM layers protecting a training dataset
MAX guide 16 min

Defending Training Pipelines Against Data Poisoning with ART, Data Provenance, and ML-BOM in 2026

Defending Training Pipelines Against Data Poisoning with ART, Data Provenance, and ML-BOM in 2026 …

Data drift monitoring pipeline linking reference data, statistical drift tests, and label-free performance estimation
MAX guide 15 min

How to Build a Data Drift Monitoring Pipeline with Evidently, NannyML, and Alibi Detect in 2026

How to Build a Data Drift Monitoring Pipeline with Evidently, NannyML, and Alibi Detect in 2026 …

Workflow for detecting and mitigating dataset bias using fairness metrics like disparate impact and demographic parity
MAX guide 12 min

How to Detect and Mitigate Dataset Bias with AIF360, Fairlearn, and Aequitas in 2026

How to Detect and Mitigate Dataset Bias with AIF360, Fairlearn, and Aequitas in 2026 TL;DR

Engineer analyzing layered system prompt architecture with role boundary and output contract diagrams across multiple screens
MAX guide 13 min

How to Write and Deploy Role Prompts for Production AI Systems in 2026

How to Write and Deploy Role Prompts for Production AI Systems in 2026 TL;DR

Diagram showing cross-modal AI pipeline connecting image, document, and chart inputs to structured outputs
MAX guide 14 min

How to Write Effective Multimodal Prompts and Build a Cross-Modal Pipeline with GPT-5.5, Claude, and Qwen3-VL in 2026

How to Write Effective Multimodal Prompts and Build a Cross-Modal Pipeline with GPT-5.5, Claude, and …

Max at a developer workstation reviewing a sequential prompt chain diagram for document and code pipelines
MAX guide 13 min

Prompt Chaining Use Cases: Document Processing, Code Review, and Multi-Step Research Pipelines

Prompt Chaining Use Cases: Document Processing, Code Review, and Multi-Step Research Pipelines TL;DR …

MAX at a whiteboard with a decision tree showing generative versus discriminative task classification for role prompting
MAX guide 12 min

Role Prompting for Code Review, Customer Support, and When to Skip It Entirely

Role Prompting for Code Review, Customer Support, and When to Skip It Entirely TL;DR

MAX at a whiteboard mapping a branching tree-search architecture with forking reasoning paths on multiple screens
MAX guide 13 min

How to Build a Tree of Thoughts Pipeline with LangChain and the ToT Library in 2026

How to Build a Tree of Thoughts Pipeline with LangChain and the ToT Library in 2026 TL;DR

Domain-specific prompt pipeline showing role context, knowledge injection, and Promptfoo evaluation for enterprise AI
MAX guide 14 min

How to Build and Evaluate a Domain-Specific Prompt Pipeline with LangChain, Braintrust, and Promptfoo in 2026

How to Build and Evaluate a Domain-Specific Prompt Pipeline with LangChain, Braintrust, and …

Production prompt pipeline showing version history, evaluation scores, and multi-environment deployment for AI development
MAX guide 15 min

How to Build and Version Production Prompts with Braintrust, PromptLayer, and Agenta in 2026

How to Build and Version Production Prompts with Braintrust, PromptLayer, and Agenta in 2026 TL;DR

MAX at a high-tech workstation reviewing a four-layer system prompt architecture diagram with defense annotations
MAX guide 15 min

How to Write a Production System Prompt: Persona Control, JSON Schemas, and Injection Defense in 2026

How to Write a Production System Prompt: Persona Control, JSON Schemas, and Injection Defense in …

MAX reviewing a whiteboard diagram of three memory layers: sliding window, session state checkpoint, and Mem0 persistence
MAX guide 13 min

Multi-Turn Conversation Systems: Sliding Windows, Compression, and State Management in 2026

Multi-Turn Conversation Systems: Sliding Windows, Compression, and State Management in 2026 TL;DR

Developer reviewing legal contract and medical case notes with AI prompt specification checklist on dual screens
MAX guide 15 min

Domain-Specific Prompting for Legal, Medical, and Code AI: Applied Patterns in 2026

Domain-Specific Prompting for Legal, Medical, and Code AI: Applied Patterns in 2026 TL;DR

MAX reviewing a critique-revise loop architecture diagram: constitution, critique module, revise module, and gate nodes
MAX guide 15 min

How to Build a Constitutional AI Critique Pipeline with Claude and DSPy in 2026

How to Build a Constitutional AI Critique Pipeline with Claude and DSPy in 2026 TL;DR

MAX at a whiteboard mapping a prompt chain architecture across LangChain, LangGraph, and Claude Agent SDK decision paths
MAX guide 13 min

How to Build a Prompt Chain Step by Step with LangChain, LangGraph, and Claude Agent SDK in 2026

How to Build a Prompt Chain Step by Step with LangChain, LangGraph, and Claude Agent SDK in 2026 …

MAX at a dual-monitor workstation showing a Thought-Action-Observation reasoning trace loop diagram
MAX guide 14 min

How to Build a ReAct Agent in Python and When to Choose It Over Native Function Calling in 2026

How to Build a ReAct Agent in Python and When to Choose It Over Native Function Calling in 2026 …

MAX reviewing LLM cost metrics with model tier routing splits and prompt cache hit rates on monitoring screens
MAX guide 15 min

Model Tiering vs. Prompt Caching: When to Route to Cheaper LLMs and When Caching Pays Off

Model Tiering vs. Prompt Caching: When to Route to Cheaper LLMs and When Caching Pays Off TL;DR

Max at a terminal reviewing LLM trace spans and cost alerts in a dark high-tech office environment
MAX guide 13 min

Prompt Regression Detection, Cost Alerts, and Eval Pipelines: Advanced LLM Observability Patterns in 2026

Prompt Regression Detection, Cost Alerts, and Eval Pipelines: Advanced LLM Observability Patterns in …

Evaluation pipeline diagram showing LLM A/B test variants scored by an automated quality judge alongside latency and cost
MAX guide 15 min

LLM-as-Judge vs Human Raters: Scoring A/B Tests Across Prompt Quality, Latency, and Cost

LLM-as-Judge vs Human Raters: Scoring A/B Tests Across Prompt Quality, Latency, and Cost TL;DR

Decision matrix showing MLflow, W&B, SageMaker, and DVC model registry options mapped to team size and stack
MAX guide 16 min

MLflow vs W&B vs SageMaker vs DVC: Choosing the Right Model Registry for Your ML Stack in 2026

MLflow vs W&B vs SageMaker vs DVC: Choosing the Right Model Registry for Your ML Stack in 2026 …

Dashboard showing LLM model routing traffic split across providers with cost and latency metrics
MAX guide 15 min

Model Routing for Cost, Fallback, and Latency Control with OpenRouter and Portkey in 2026

Model Routing for Cost, Fallback, and Latency Control with OpenRouter and Portkey in 2026 TL;DR

vLLM load testing pipeline diagram with TTFT, ITL, and throughput metrics across concurrency levels and traffic shape
MAX guide 15 min

How to Load Test an LLM Deployment with vLLM Benchmark Suite and GenAI-Perf in 2026

How to Load Test an LLM Deployment with vLLM Benchmark Suite and GenAI-Perf in 2026 TL;DR

Schematic of an LLM context window divided into labeled budget zones: system prompt, history, retrieved docs, output
MAX guide 15 min

How to Manage LLM Context in Production: Prompt Caching, Memory API, and Token Budget Patterns

How to Manage LLM Context in Production: Prompt Caching, Memory API, and Token Budget Patterns TL;DR …

MLflow model registry workflow showing alias-based model promotion and CI/CD webhook integration
MAX guide 12 min

How to Set Up a Model Registry with MLflow and DVC for Reproducible ML Deployments in 2026

How to Set Up a Model Registry with MLflow and DVC for Reproducible ML Deployments in 2026 TL;DR

LLM API cost control spec showing model routing tiers, batch API workflows, and budget enforcement layers in production
MAX guide 16 min

How to Cut LLM API Costs with Model Routing, Prompt Caching, and Batch APIs Using LiteLLM in 2026

How to Cut LLM API Costs with Model Routing, Prompt Caching, and Batch APIs Using LiteLLM in 2026 …

Production LLM gateway architecture diagram showing fallback routing chains between multiple AI providers
MAX guide 14 min

How to Deploy LiteLLM or Portkey as a Production LLM Gateway with Fallback Chains in 2026

How to Deploy LiteLLM or Portkey as a Production LLM Gateway with Fallback Chains in 2026 TL;DR

MAX reviewing an LLM trace waterfall on dual monitors, blue screen glow highlighting span costs and latency
MAX guide 15 min

How to Instrument a Production LLM App with Langfuse and LangSmith Step by Step in 2026

How to Instrument a Production LLM App with Langfuse and LangSmith Step by Step in 2026 TL;DR

LLM A/B testing pipeline diagram showing traffic split between two prompt variants feeding into a scoring dashboard
MAX guide 14 min

How to Build an LLM A/B Testing Pipeline with Braintrust, Langfuse, and Promptfoo in 2026

How to Build an LLM A/B Testing Pipeline with Braintrust, Langfuse, and Promptfoo in 2026 TL;DR

LLM observability pipeline diagram with trace collection, cost attribution, and compliance audit layers
MAX guide 16 min

How to Build an LLM Logging Pipeline with Langfuse, MLflow, and OpenTelemetry in 2026

How to Build an LLM Logging Pipeline with Langfuse, MLflow, and OpenTelemetry in 2026 TL;DR

Diagram of multi-provider LLM routing with automatic failover tiers, retry paths, and cooldown triggers
MAX guide 14 min

How to Build Multi-Provider LLM Failover with LiteLLM, Portkey, and Tenacity in 2026

How to Build Multi-Provider LLM Failover with LiteLLM, Portkey, and Tenacity in 2026 TL;DR