Stay current on AI agents
Definitions, news, what's new, and practical guides. What matters as agents move from demos into real work.
GuidesHow much does an AI agent cost in 2026: subscription vs usage-based pricing
AI agent pricing explained: per-seat subscriptions vs usage-based credits, and the real cost compared to an employee, freelancer, or agency. A practical guide to budgeting AI agents.
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ComparisonsGrok Bot alternatives: isolated cloud or shared computer?
Grok Bot vs Lindy, Manus and Upchat: a comparison of AI agents that work in a cloud computer. Shared vs per-agent environment, pricing, security, and team play.
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GuidesWhat is an AI employee? A practical guide for teams
An AI employee is a role-based AI agent that joins your team's daily work. Learn how AI employees differ from chatbots and how to onboard them safely.
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GuidesWhat is an AI agent? A complete guide for 2026
AI agents are autonomous software systems that plan, use tools, and take action to achieve goals. Learn what they are, how they work, and how teams use them.
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GuidesWhat is AI agent security?
AI agents that call APIs open new attack surfaces. Learn how least-privilege tool scoping and prompt injection defense protect agentic systems in production.
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GuidesHow to pay less for AI agents
Cut AI agent costs with specialized LLMs, open source, smarter model routing, tighter tool loops, and role design that spends tokens only where quality pays.
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GuidesHuman-in-the-loop AI agents
Human-in-the-loop AI agents explained: when approval gates matter, how to design risk tiers without fatigue, and how teams keep control while agents ship work.
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GuidesMultiplayer AI agents for teams
Multiplayer AI agents let teams watch, redirect, and hand off work together. Leave private chats behind and run shared role agents with real human oversight.
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GuidesWhat is a multi-agent system?
How multiple specialized AI agents coordinate on real work - when multi-agent beats a single agent, and how teams keep humans in the loop.
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GuidesWhat is MCP for AI agents?
Model Context Protocol explained: how MCP connects AI agents to tools and data, when it beats ad hoc APIs, and how teams scope safe agent access.
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