Guides, comparisons, and playbooks for assembling and running your AI workforce.
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.
Read articleA 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.
Read articleA research-based 2026 comparison of LangGraph, CrewAI, Claude Agent SDK, OpenAI Agents SDK, AG2 and AWS Strands — with a decision guide by team profile.
Read articleWhat 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.
Read articleA practical guide to building an AI team in 2026: no-code platforms vs developer frameworks, which role to automate first, oversight, and honest expectations.
Read articleLindy vs Relevance AI in 2026: pricing, multi-agent features, integrations, and team fit — a research-based comparison for founders choosing a platform.
Read articleWhat 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.
Read articleAn 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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