AI Tools

Practical AI for builders — prompt engineering, agent orchestration, generative media, and deployment workflows. MAX focuses on what works in production.

AI Agents & Orchestration LLMOps & Performance Generative Media
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

How to Add Human Approval Gates to Agents with LangGraph, AutoGen, and CrewAI in 2026

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

How to Choose LangGraph, CrewAI, AutoGen, or LlamaIndex in 2026

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

Build Multi-Agent Systems with LangGraph, CrewAI, and OpenAI SDK in 2026

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

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 …

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

How to Build Planning Agents with LangGraph, CrewAI, and AutoGen in 2026

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

Multimodal RAG pipeline diagram with PDF pages flowing into vision retrievers, embeddings, and a RAG orchestration engine.
MAX guide 15 min

Build a Multimodal RAG Pipeline with ColPali, Jina v4, RAGFlow in 2026

Multimodal RAG turns PDF pages, charts, and screenshots into searchable knowledge. Spec a 2026 stack with ColPali, Jina …

Document parsing pipeline routing PDFs through layout, extraction, and structure layers for RAG
MAX guide 15 min

How to Build a Document Parsing Pipeline with LlamaParse, Unstructured, and Docling in 2026

Build a document parsing pipeline that routes PDFs to LlamaParse, Unstructured, or Docling by complexity. A …

Metadata filter contract routing a vector query through tenant, date, and permission gates before it reaches the index
MAX guide 16 min

Metadata Filtering in Qdrant, Weaviate, Milvus & Pinecone (2026)

Specification-first guide to metadata filtering in Qdrant, Weaviate, Milvus, and Pinecone — tenancy, date filters, and …

Specification blueprint linking entities, relationships, and vector embeddings across a graph and vector database for GraphRAG.
MAX guide 15 min

How to Build a GraphRAG Pipeline with Neo4j and LightRAG in 2026

Build a knowledge-graph RAG pipeline with Microsoft GraphRAG, Neo4j vector indexes, and LightRAG. Decompose components, …

Decision framework comparing long-context window, RAG retriever, and hybrid pipeline routes for 2026 AI applications
MAX guide 15 min

Long-Context vs RAG vs Hybrid: A 2026 Decision Framework

Long-context, RAG, or hybrid? A 2026 spec-driven framework for choosing between Gemini 3.1 Pro 1M, Claude Sonnet 4.6, …

Engineer wiring a RAG evaluation harness with metrics dashboards on multiple monitors in a high-tech workspace
MAX guide 14 min

RAG Evaluation Harness with RAGAS, DeepEval, and TruLens in 2026

Build a production RAG evaluation harness with RAGAS 0.4, DeepEval 3.9, and TruLens 2.8. Spec the metrics, gate CI, …

Layered specification diagram for catching RAG hallucinations before they reach production users
MAX guide 15 min

RAG Hallucination Detection with Ragas, TruLens & Guardrails (2026)

Wire Ragas, TruLens, and Guardrails AI into your RAG pipeline to catch hallucinations before users see them. A …

Three retrieval lanes — BM25, learned sparse, and dense vectors — fused into a single hybrid search ranking
MAX guide 12 min

Build a Hybrid Search Pipeline: BM25, SPLADE-v3 + RRF in 2026

Vector search still misses rare terms. Here's how to architect a hybrid retrieval pipeline with BM25, SPLADE-v3, and …

Diagram of a contextual retrieval pipeline: chunked documents enriched with chunk-level context, dual lexical and dense indexes, late-interaction reranker, fused top-20 output
MAX guide 17 min

Build a Contextual Retrieval Pipeline: Anthropic + Voyage + ColBERT

Contextual retrieval cuts RAG retrieval failures by up to 67%. Here is the pipeline spec for 2026 — Anthropic recipe, …

Architecture diagram of an agentic RAG pipeline with hybrid search, cross-encoder rerank, and a bounded agent loop
MAX guide 16 min

How to Build Agentic RAG with LangGraph, LlamaIndex & Haystack in 2026

Production agentic RAG in 2026 means hybrid search, cross-encoder rerank, and bounded loops. Spec the pipeline before …

Query transformation pipeline diagram with router dispatching to HyDE multi-query and step-back expanders feeding hybrid retrieval and reranking
MAX guide 17 min

Query Transformation Pipeline: HyDE & LangChain v1 in 2026

Build a query transformation pipeline in 2026 with HyDE, MultiQueryRetriever, and LangChain v1. Decide when each …

Decision tree for selecting a RAG query transformation: HyDE, multi-query, step-back, routing, and decomposition.
MAX guide 14 min

HyDE vs Multi-Query vs Step-Back: Choosing RAG Query Transforms

Pick the right RAG query transformation. When HyDE beats multi-query, step-back outperforms decomposition, and routing …

Three-stage RAG reranker architecture diagram: hybrid retrieval, cross-encoder reranker decision, and LLM generation in a 2026 pipeline
MAX guide 14 min

Add Reranking to Your RAG Pipeline: Cohere, Voyage, Zerank-2 in 2026

Add a reranker to your RAG pipeline in 2026. Compare Cohere Rerank 4 Pro, Voyage Rerank-2.5, Zerank-2, and self-hosted …

Production RAG pipeline diagram with LangChain orchestrating Qdrant retrieval Cohere reranking and Ragas evaluation.
MAX guide 17 min

Production RAG with LangChain, Qdrant & Cohere Rerank in 2026

Build a production RAG pipeline in 2026 with LangChain, Qdrant hybrid retrieval, Cohere Rerank 4, and Ragas eval. Specs, …

Hybrid search pipeline diagram blending sparse keyword retrieval with dense vector retrieval via reciprocal rank fusion
MAX guide 15 min

How to Build a Hybrid Search Pipeline with Weaviate, Qdrant, and SPLADE in 2026

Build a hybrid search pipeline by decomposing it into sparse, dense, and fusion specs. Covers Weaviate, Qdrant, and …

Image-prompt testing pipeline diagram routing across FLUX.2, Midjourney, and gpt-image-2 with seed plane and CI gate.
MAX guide 16 min

Reproducible Image-Prompt Testing 2026: Promptfoo, Seeds, A/B

Build a reproducible image-prompt testing pipeline in 2026 with Promptfoo, seeds, and A/B eval. Spec what 'reproducible' …

Spec sheet comparing prompt syntax across five image generation models with parameter flags, weights, and natural language structures
MAX guide 14 min

Prompt Grammar by Model: Midjourney, SD, Flux, GPT Image, Gemini 2026

Image models speak different prompt languages. Master Midjourney parameters, SD weights, Flux JSON, and natural-language …

Routing diagram of a 2026 background removal pipeline dispatching to Photoroom API, remove.bg, rembg, and BRIA RMBG-2.0 with an alpha-matte validation plane.
MAX guide 19 min

Background Removal Pipeline 2026: BRIA, Photoroom & rembg

Build a production background removal pipeline in 2026. Spec BRIA RMBG-2.0, Photoroom API, remove.bg, and rembg as …

Diagram comparing four 2026 image upscaling pipelines: Real-ESRGAN, Magnific V2, Topaz Gigapixel, and tiled ComfyUI workflows
MAX guide 13 min

How to Upscale Images: Real-ESRGAN, Magnific V2, ComfyUI in 2026

Upscaling pipelines fail when you skip the spec. Pick between Real-ESRGAN, Magnific V2, Topaz Gigapixel, and tiled …

Side-by-side LoRA training pipelines for Flux and SDXL routing through Kohya SS, AI-Toolkit, and fal.ai cloud trainers
MAX guide 14 min

How to Train a Custom LoRA for Flux and SDXL with Kohya SS, AI-Toolkit, and fal.ai in 2026

Train custom LoRAs for Flux and SDXL with Kohya SS, AI-Toolkit, or fal.ai. Covers dataset specs, learning rates, trigger …

Blueprint of a 2026 AI image editing pipeline with edit-type router, model backends, and drift validation stages.
MAX guide 17 min

Image Editing Pipeline 2026: Flux Kontext, Qwen Edit & GPT Image

Build a production AI image editing pipeline in 2026. Spec Flux Kontext, Qwen Image Edit, and GPT Image 1.5 as swappable …

Three AI image editors compared for commercial marketing work — Adobe Firefly, Flux Kontext, and GPT Image decision matrix
MAX guide 15 min

Adobe Firefly vs. Flux Kontext vs. GPT Image: Decision Guide for 2026

Pick the right AI image editor for commercial work: Adobe Firefly indemnifies, Flux Kontext iterates, GPT Image follows …