AI Agents

Agent design, orchestration, and business-ready automation.

Recommended reading order

  1. How to Design an AI Agent Workflow

    Map a business task to an agent-ready process—with boundaries, handoffs, evaluation gates, and a tier-2 ticket...

  2. MCP for Enterprise Teams

    MCP integration for production agents — tools, resources, OAuth-scoped servers, and controls around the connection...

  3. MCP vs Custom Tool APIs for Regulated Teams

    MCP wins for standardized tool contracts under an allowlist; custom APIs win for tenancy, latency, and certified...

  4. Multi-Agent Handoff Pattern

    How to split work across specialized agents with explicit contracts, state, and human escalation between steps.

  5. LangGraph vs CrewAI vs MS Agent Framework

    A production-focused comparison of LangGraph, CrewAI, and Microsoft Agent Framework with selection criteria,...

  6. Multi-Agent Observability

    Practical observability for multi-agent workflows with handoff tracing, failure-mode detection, and governance-ready logs.

  7. AI Outreach with Outlook Guardrails

    Draft outreach in Microsoft Outlook with shared-mailbox workflow, rate limits, DLP triggers, and human send—no...

AI Agents

Multi-Agent Observability

Practical observability for multi-agent workflows with handoff tracing, failure-mode detection, and governance-ready logs.

5 min read · AI Agents · Updated Jun 2026

AI Agents

MCP for Enterprise Teams

MCP integration for production agents — tools, resources, OAuth-scoped servers, and controls around the connection for enterprise teams.

9 min read · AI Agents · Updated Sep 2026