AI Agents
Practical guides to AI agents, autonomy, agentic workflows, MCP, A2A, computer use, managed agent runtimes, multi-agent systems, security, cost and when an agent is actually justified.
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AI Agent Security in 2026: Prompt Injection, Permissions, Runtime Controls, and OWASP
A practical AI agent security guide for 2026: prompt injection, tool misuse, least privilege, MCP risk, sandboxing, runtime controls, approvals, observability and the OWASP Agentic Top 10.
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OpenAI Agents API Explained: What Changed, Pricing, Sandboxes, and When to Use It
OpenAI’s new Agents API brings the managed Codex harness, long-running sessions, tool search, subagents and hosted or bring-your-own execution environments to developers. Here is what changed, how pricing works and when it…
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AI Agents in 2026: A Practical Guide to Autonomy, Tools, MCP, Security, and When to Use Them
AI agents can plan, choose tools and act across systems—but more autonomy is not always better. This practical 2026 guide explains workflows vs agents, MCP vs A2A, computer use, multi-agent systems, cost,…