Most teams default to complex multi-agent frameworks when standard sequential logic or deterministic routing is faster, cheaper, and more reliable. For this week's cohort focus, we’re dissecting Microsoft’s official blueprint: 🔗 Azure AI Agent Design Patterns Guide The 4 Core Patterns - Sequential: Deterministic pipelines with explicit handoffs (e.g., Draft ➔ Review ➔ Format). - Routing: An intent gatekeeper directing input to domain-specific agents without context bloat. - Concurrent: Parallel fan-out/fan-in execution for speed-critical research or multi-perspective review. - Group Chat / Collaborative: Shared thread deliberation for open-ended trade-offs (highest latency and cost). Quick Challenge Read the guide and drop a comment below: Which of these patterns are you currently using, and what’s your biggest bottleneck (latency, token costs, or state drift)? 👇 https://learn.microsoft.com/en-us/azure/architecture/ai-ml/guide/ai-agent-design-patterns