AI Workflows

Deploy a production-ready role-based multi-agent support team using CrewAI v1.16 hooks, WaitTool, and SLA tracking.

Learn how to build self-healing enterprise agentic pipelines combining LangGraph state machine routing with AutoGen multi-agent debate.

Implement a high-performance corporate RAG pipeline combining n8n event triggers with Qdrant hybrid vector-keyword retrieval.

Deploy a production-ready role-based multi-agent support team using CrewAI v1.16 hooks, WaitTool, and SLA tracking.

Architect enterprise corporate RAG workflows using FastMCP 2.0 decorators and LangGraph state machines with automated vector search fallback.

Build automated document compliance guardrails following Microsoft's DELEGATE-52 benchmark to prevent multi-modal accuracy drift in enterprise AI.

Architect enterprise multi-agent workflows using Microsoft Agent Framework 1.0 (MAF) and evaluate its performance against LangGraph v0.7.

Build resilient, long-running agentic workflows combining n8n v2.34 visual event triggers with LangGraph stateful graph orchestration.

Deploy production-grade role-based multi-agent teams using CrewAI v1.15 execution hooks, WaitTool capabilities, and state serialization.

Architect serverless Model Context Protocol tool servers using the 2026-07-28 stateless request-response specification update.

Learn how to build low-latency real-time voice AI agents using LiveKit WebRTC SDK v2.0, OpenAI Realtime API, and custom turn-detection engines.

Master Mastra TS durable state machines for deterministic multi-agent swarms in TypeScript. Includes full OpenTelemetry & state persistence code.