AIワークフォースの構築・運用に関するガイド、比較、プレイブック。
A practical playbook for running AI customer support with a 3-person team: org design, knowledge base prep, tooling, guardrails, metrics, and a 30-day rollout.
続きを読むA practical guide to 10 AI employee roles you can hire in 2026 — SDRs, support agents, developers, analysts and more — with an honest maturity rating for each.
続きを読むA research-based 2026 comparison of LangGraph, CrewAI, Claude Agent SDK, OpenAI Agents SDK, AG2 and AWS Strands — with a decision guide by team profile.
続きを読むWhat Claude Code Agent Teams is, how the lead, mailbox, and shared task list work, what it's good for, and how to enable it — with honest caveats.
続きを読むA practical guide to building an AI team in 2026: no-code platforms vs developer frameworks, which role to automate first, oversight, and honest expectations.
続きを読むLindy vs Relevance AI in 2026: pricing, multi-agent features, integrations, and team fit — a research-based comparison for founders choosing a platform.
続きを読むWhat MCP is, how clients and servers work in plain language, why every major agent framework adopted it, and what it means for building an AI team.
続きを読むAn honest definition of the AI employee: the chatbot-to-agent spectrum, what works today, the Klarna lesson, NBER's reality check, and how to evaluate vendors.
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