Daily recap for May 18, 2026

Today we shipped 2 new step-by-step tutorials for small-business AI — a voice agent that handles inbound phone calls and a multi-agent system that triages engineering issues.

New tutorials

Google Gemini Voice Agent for Twilio Call Handling

Handle inbound Twilio calls with a Gemini-powered voice agent that understands speech and can book appointments or look up FAQs. It’s designed for small businesses that need an after-hours receptionist — the agent listens via Deepgram, reasons with Gemini, decides how to respond using a confidence router, and speaks back through ElevenLabs text-to-speech. All context is preserved across calls, so repeat callers don’t start from scratch.

Read the tutorial → and download the code (zip) →

Built with @reaatech/agent-mesh, @reaatech/agent-memory, @reaatech/confidence-router, @reaatech/llm-cache, on Google Gemini · 91 tests · 98.95% coverage.

Azure AI Multi-Agent Handoff for Linear Issue Triage

Automatically triage incoming Linear issues by routing them to specialized AI agents, so only complex cases reach human engineers. When a new issue arrives, an orchestrator agent classifies it, a handoff protocol transfers context to the right specialist (debugging, docs, scheduling), circuit breakers protect against API failures, and a budget guard keeps costs in check. It’s built for engineering teams that want faster, more consistent issue sorting without manual overhead.

Read the tutorial → and download the code (zip) →

Built with @reaatech/agent-handoff-protocol, @reaatech/agent-handoff-routing, @reaatech/agent-handoff-compression, @reaatech/confidence-router, @reaatech/circuit-breaker-agents, @reaatech/agent-budget-middleware, on Azure AI · 124 tests · 99.65% coverage.

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