24/7 AI WhatsApp receptionist for local businesses – free SaaS alternative using Meta API + Groq Llama 3.3 → Gemini 2.0 failover. Docker ready.
Route typed checkout and fulfillment updates across model vendors with a small Python service.
Route payment-risk analysis across model vendors while keeping sensitive actions deterministic.
Route creator orders through active seller assets and hand generated copy back with its serving vendor.
Route appointment notice drafting across model vendors while keeping patient-safety decisions deterministic.
Route typed fulfillment updates across model vendors and index the resulting receipt text.
Route legal matter delivery notes through an OpenAI-compatible model boundary with deadline-aware follow-up.
Fail over between model vendors while coordinating legal matter intake and follow-up.
Typed nonprofit communications routed across model vendors with Infrai.
Field-service follow-up triage with vendor failover via Infrai's OpenAI-compatible endpoint, typed models and a pure state transition test.
An autonomous 7-Agent crisis response swarm powered by Gemini 3 Pro & MongoDB MCP. Features a 3-tier LLM failover circuit for zero-hour disaster routing.
Six reusable patterns for building agentic AI pipelines that don't fail silently. Claude Code skill files extracted from production.
Typed shipment exception decisions with model-vendor failover through an OpenAI-compatible endpoint.
Route legal intake across model vendors and decide signed delivery follow-up.
Route field-service work-order notes through an OpenAI-compatible model endpoint with a deterministic dispatch decision.
Typed TypeScript media delivery flow with embeddings and chat failover.
Route minimal clinical handoffs across marketplace model vendors with the OpenAI Python client.
Route creator download updates across model vendors without changing storefront delivery logic.
A typed order-update service that routes customer copy across model vendors.
🤖 Autonomous AI Software Engineer using a LangGraph state machine to write, execute, and self-debug Python code inside an isolated Docker sandbox with multi-model LLM failover.
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