Daily recap for June 10, 2026

Today we published 7 new hands-on tutorials for building production-grade AI in small businesses. They cover interview scheduling, resume scoring, business intelligence dashboards, analytics sandboxes, financial operations reliability, identity security guardrails, and financial modeling — each with downloadable code and step-by-step guides.

New tutorials

AI Interview Coordinator for Boutique Recruiting Firms

For a recruiting coordinator at a small firm handling 30+ interviews per week, this voice-first agent negotiates calendars, sends invites, and reschedules conflicts autonomously, replacing hours of email ping-pong. It routes requests across multiple calendar providers through agent handoffs and memory, keeping the process hands-free.

Read the tutorial → · Download the code (zip)

Built with @reaatech/agent-mesh, @reaatech/agent-mesh-router, @reaatech/agent-handoff, @reaatech/agent-handoff-routing, @reaatech/agent-memory, @reaatech/agent-memory-retrieval, on agnostic · 117 tests, 97.32% coverage.

Automated Resume Rubric Scorer for Boutique Recruiters

A solo recruiter at a tiny agency can score hundreds of resumes against custom rubrics in minutes with LLM-powered consistency, caching, and cost tracking, eliminating 10+ hours of manual work per role. It validates tool use and logs every token, so you see exactly what each run costs.

Read the tutorial → · Download the code (zip)

Built with @reaatech/agent-eval-harness-golden, @reaatech/agent-eval-harness-tool-use, @reaatech/agent-eval-harness-cost, @reaatech/agent-eval-harness-observability, @reaatech/llm-cache, @reaatech/llm-cache-adapters-redis, on agnostic · 121 tests, 98.81% coverage.

Azure AI MCP Server for SMB Business Intelligence

Small business SaaS platforms can offer AI-powered BI features securely: this server lets AI agents query BI dashboards with per-client rate limits and isolated tools, without building multi-tenancy from scratch. It uses Azure AI Foundry for reasoning and exposes a standardized MCP interface.

Read the tutorial → · Download the code (zip)

Built with @reaatech/mcp-server-core, @reaatech/mcp-server-engine, @reaatech/multi-tenant-mcp-middleware, @reaatech/mcp-server-observability, on azure-ai · 77 tests, 99.37% coverage.

Cohere Code Sandbox for Mixpanel Small Business Analytics

Small businesses using Mixpanel can ask plain-English questions about their analytics, and this sandbox safely generates and executes Python code, with budget caps and caching to keep costs predictable. It uses Cohere's LLM for code generation and E2B for sandboxed execution.

Read the tutorial → · Download the code (zip)

Built with @reaatech/agent-budget-engine, @reaatech/llm-cost-telemetry, @reaatech/structured-repair-core, @reaatech/llm-cache, on cohere · 83 tests, 97.36% coverage.

vLLM Reliability Suite for NetSuite SMB Financial Operations

For SMBs using NetSuite, this pipeline enriches financial records with vLLM-powered classification and anomaly detection, protected by circuit breakers and idempotency to prevent data loss or duplicates. It runs on a self-hosted vLLM endpoint and integrates with Trigger.dev for job orchestration.

Read the tutorial → · Download the code (zip)

Built with @reaatech/circuit-breaker-core, @reaatech/session-continuity, @reaatech/idempotency-middleware, @reaatech/agent-runbook-agent, on vllm · 123 tests, 98.15% coverage.

Perplexity Security Guardrails for Okta SMB Identity Protection

SMBs granting AI assistants access to identity management can deploy this guardrail to block PII leaks and prompt injections before requests reach Okta, avoiding privilege escalation and data exposure. It sequences PII detection, injection scanning, and role-based policy checks using Perplexity's LLM for ambiguous cases.

Read the tutorial → · Download the code (zip)

Built with @reaatech/guardrail-chain, @reaatech/llm-cost-telemetry, @reaatech/structured-repair-core, on perplexity · 72 tests, 96.07% coverage.

OpenRouter Code Sandbox for SMB Financial Modeling

Non-technical analysts can run Python financial models by just describing the scenario; the sandbox validates generated code, enforces budget limits, and repairs malformed outputs, with full cost tracking. It uses OpenRouter for model access and E2B for sandboxed execution, with session continuity across follow-up questions.

Read the tutorial → · Download the code (zip)

Built with @reaatech/confidence-router, @reaatech/tool-use-firewall-core, @reaatech/agent-budget-engine, @reaatech/structured-repair-core, @reaatech/llm-cost-telemetry, @reaatech/session-continuity, on openrouter · 84 tests, 99.51% coverage.

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Package releases

We updated @reaatech/idempotency-middleware-adapter-dynamodb to version 1.0.1, bumping AWS SDK dependencies from major line 3.50.0 to 3.1064.0 / 3.996.4 to unblock CI. This is a runtime dependency upgrade that downstream consumers will pick up. Browse the adapter →

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