Daily recap for June 6, 2026

Today we shipped six new step-by-step tutorials for small-business AI, headlined by a LangChain reliability suite that keeps support agents running 24/7 with circuit breakers, idempotent workflows, automatic API key rotation, and self-generating runbooks. The others cover everything from generating real estate listing copy in under two minutes to automatically processing invoices into Sage Intacct — each ready to download and run.

New tutorials

LangChain Reliability Suite for SMB Support Agents with Auto-Runbooks

Small businesses can now keep AI support agents running around the clock without building their own reliability layer. This tutorial shows how to wire circuit breakers that fail over between LLM providers, idempotent workflows to prevent duplicate side effects, automatic API key rotation, and self-generating runbooks — all backed by DynamoDB and Temporal. If you use LangChain for customer support, this suite stops outages before they cost you sales.

Read the tutorial → Download the code (zip)

Built with @reaatech/circuit-breaker-agents, @reaatech/idempotency-middleware, @reaatech/session-continuity-storage-dynamodb, @reaatech/agent-runbook, @reaatech/secret-rotation-core, on LangChain · 90 tests, 94.38% coverage.

Listing Copy Multiplier for Residential Brokers

Real estate agents can now generate four platform-optimized listing descriptions — MLS, Zillow, social media, and brochure — from a single draft in under two minutes. This tutorial wires together six @reaatech packages into a Next.js API service, so you stop spending 45 minutes rewriting copy and keep branding consistent across channels.

Read the tutorial → Download the code (zip)

Built with @reaatech/hybrid-rag, @reaatech/agents-markdown, @reaatech/llm-cache, @reaatech/agent-eval-harness-golden, @reaatech/llm-router-core, @reaatech/otel-genai-semconv-core, provider-agnostic · 156 tests, 98.08% coverage.

Anthropic Document Pipeline for Sage Intacct SMB Invoice Processing

Finance teams using Sage Intacct can now automatically parse PDF invoices, extract line-item data, and push accurate bills directly into the system — no more manual entry. This pipeline uses Anthropic’s Claude for structured extraction, then repairs and validates the JSON, and routes high-confidence results to auto-post while flagging uncertain ones for human review, all with cost tracking built in.

Read the tutorial → Download the code (zip)

Built with @reaatech/media-pipeline-mcp-doc-extraction, @reaatech/structured-repair-core, @reaatech/confidence-router, @reaatech/agent-budget-engine, @reaatech/llm-cost-telemetry, on Anthropic · 73 tests, 98.05% coverage.

OpenRouter Voice Agent for Cal.com Appointment Scheduling

Small businesses that use Cal.com can now let callers book, reschedule, or cancel appointments over the phone through a conversational voice agent. This tutorial uses Twilio for telephony, Deepgram for speech-to-text, ElevenLabs for text-to-speech, and OpenRouter to route calls through any LLM, so you’re not locked into one provider.

Read the tutorial → Download the code (zip)

Built with @reaatech/voice-agent-core, @reaatech/voice-agent-stt, @reaatech/voice-agent-tts, @reaatech/voice-agent-telephony, @reaatech/confidence-router, @reaatech/agent-budget-engine, on OpenRouter · 155 tests, 98.92% coverage.

Google Gemini Multi-Agent Handoff for Gorgias Support Triage

Gorgias support teams can now automatically route tickets: FAQ questions get instant answers via Gemini Flash, while complex billing or account issues escalate to a human specialist with full context. This multi-agent handoff protocol uses @reaatech/agent-handoff to transfer conversations without losing details, so your team responds faster.

Read the tutorial → Download the code (zip)

Built with @reaatech/agent-handoff, @reaatech/agent-handoff-compression, @reaatech/agent-handoff-protocol, @reaatech/agent-handoff-routing, @reaatech/agent-mesh-classifier, @reaatech/agent-mesh-observability, on Google Gemini · 73 tests, 98.86% coverage.

OpenAI Cost Control for SMB Agent Workflows

Businesses running OpenAI-powered customer agents can cap monthly spending and cut redundant API costs. This solution wraps every call with token-cost telemetry, enforces hard budget limits, and caches semantically similar prompts in Redis — so repeated questions don’t re-charge. A simple dashboard exposes budget state and cache health.

Read the tutorial → Download the code (zip)

Built with @reaatech/llm-cost-telemetry, @reaatech/agent-budget-engine, @reaatech/llm-cache, @reaatech/llm-cache-adapters-redis, @reaatech/llm-cost-telemetry-aggregation, on OpenAI · 84 tests, 99.46% coverage.

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