Daily recap for May 22, 2026

Today we published five new step-by-step tutorials for small businesses, covering automated contract review, e-commerce fraud detection, safe AI-powered analytics, lead intake for real estate, and a tenant support knowledge agent. Each comes with full source code, a downloadable zip, and a detailed walkthrough.

New tutorials

Vertex AI Document Pipeline for DocuSign SMB Contract Review

Small business owners often manually review every signed contract for key clauses, which is slow and error-prone. This tutorial sets up a document pipeline that ingests PDFs from DocuSign, chunks and embeds them into a hybrid RAG store, and uses Vertex AI to automatically extract renewal dates, liability terms, and payment details. Continuous evaluation with golden datasets keeps the extraction accurate.

Read the tutorial → · Download the code (zip)

Built with @reaatech/hybrid-rag, @reaatech/hybrid-rag-embedding, @reaatech/hybrid-rag-ingestion, @reaatech/agent-eval-harness-golden, on Vertex AI · 126 tests, 98.86% coverage.

Anthropic Agent Mesh for E-commerce Fraud Detection

E-commerce fraud drains revenue from small businesses that can't afford dedicated data science teams. This recipe wires up a multi-agent system with Anthropic's Claude, where specialist agents for transaction anomalies, account takeover, and chargeback risk collaborate through REAA's agent mesh. Confidence scores route ambiguous cases to human review, and the whole pipeline logs activity to Supabase.

Read the tutorial → · Download the code (zip)

Built with @reaatech/agent-mesh, @reaatech/agent-mesh-registry, @reaatech/agent-mesh-router, @reaatech/agent-mesh-session, @reaatech/agent-mesh-confidence, @reaatech/agent-mesh-observability, on Anthropic · 93 tests, 100% coverage.

Azure AI Code Sandbox for SMB Analytics

Small businesses often need to run custom analytics on their data but risk runaway costs or infinite loops if they let an AI agent execute arbitrary code. This sandbox uses Azure OpenAI to generate analysis code, runs it in an E2B cloud environment, and enforces per-user spending and safety limits with circuit breakers. A Next.js dashboard displays usage metrics.

Read the tutorial → · Download the code (zip)

Built with @reaatech/agent-budget-engine, @reaatech/circuit-breaker-agents, @reaatech/agent-budget-middleware, @reaatech/circuit-breaker-core, @reaatech/circuit-breaker-persistence, on Azure AI · 65 tests, 93.63% coverage.

OpenAI Lead Intake Agent for SMB Real Estate

Real estate agencies lose leads when forms and attachments pile up in inboxes. This tutorial builds an API that accepts form submissions, extracts structured lead data with OpenAI, classifies buyer vs. seller intent using confidence scores, and prevents duplicate entries—all feeding into HubSpot. It's a plug-and-play lead capture system for any property website.

Read the tutorial → · Download the code (zip)

Built with @reaatech/confidence-router, @reaatech/idempotency-middleware, @reaatech/confidence-router-core, @reaatech/idempotency-middleware-express, on OpenAI · 102 tests, 97.26% coverage.

AWS Bedrock Knowledge Agent for AppFolio Tenant Inquiries

Property managers spend too much time answering tenant questions about policies and lease terms. This knowledge agent indexes AppFolio documents into a hybrid search store, uses AWS Bedrock Claude to generate answers with source citations, and tracks per-tenant LLM spend. Golden trajectory testing ensures the agent's answers stay accurate over time.

Read the tutorial → · Download the code (zip)

Built with @reaatech/hybrid-rag, @reaatech/hybrid-rag-embedding, @reaatech/hybrid-rag-evaluation, @reaatech/agent-budget-engine, @reaatech/agent-eval-harness-golden, on AWS Bedrock · 128 tests, 100% coverage.

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