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AI Agents articles
Autonomous systems that reason, act and use tools.
An AI agent is a loop: the model looks at a goal and the results so far, chooses a tool to call, observes the result, and repeats until it decides it is done. That loop is what lets agents handle open-ended tasks, and it is also what makes them expensive and unpredictable when left unbounded.
Articles here are about making agents dependable: stopping conditions and budgets, tool design that the model uses correctly, recovering from tool errors, and knowing when a fixed workflow would serve better than an autonomous agent.
For a structured path through this topic, see Building AI Agents and Agentic Workflows.
12 articles
Intermediate
Review an AI Agent's Approval Policy in 10 Minutes with an AI Skill
Paste your agent's tool list into a free AI skill and get a risk-tiered approval review, ranked findings and tests, with a real example run and install steps.
Oct 14, 2026 9m
Intermediate
Prompt Injection, Explained: Attacks and Defences That Hold
How prompt injection works and which defences hold: direct and indirect attacks, why filters fail, least privilege, approvals and red-team tests.
Oct 11, 2026 10m
Intermediate
When Should an AI Agent Ask Permission? Human-in-the-Loop Approval Design
When should an autonomous agent stop and ask? A risk-tiered approval framework drawn from Muse, Dots and Grok Bot, with policy-as-code you can reuse.
Oct 7, 2026 10m
Advanced
AI Agent Identity: Why Every Agent Needs Its Own Credentials (Not Your Password)
Always-on agents need their own identities and scoped credentials, not your password. How Dots, Muse and Grok Bot handle secrets, and a pattern to copy.
Oct 7, 2026 10m
FoundationsFeatured
Dots vs Muse vs Grok Bot vs Gemini Spark: Best Always-On AI Agent in 2026
OpenAI Dots, Meta Muse, xAI Grok Bot and Google Gemini Spark compared on runtime, security, approvals, integrations and price, with a pick for every use case.
Oct 7, 2026 11m
Intermediate
How to Build Your Own 24/7 Personal AI Agent in 2026 (Hosted or DIY)
Build a personal AI agent that runs 24/7: choose hosted (Dots, Muse, Grok Bot) or DIY, then wire up scheduling, memory, MCP tools, approvals and an audit log.
Oct 7, 2026 13m
Advanced
How to Deploy AI Agents in the Enterprise: A 2026 Governance Playbook
How enterprises roll out always-on AI agents safely: first use cases, an identity per agent, approval tiers, SIEM audit logs, evals and a 90-day pilot plan.
Oct 7, 2026 12m
Foundations
What Is Grok Bot? xAI's Always-On AI Teammates Explained (Pricing, Routines, Risks)
Grok Bot gives xAI's agents a cloud computer, skills learned from screen recordings and scheduled routines. How it works, what it costs, and the shared-VM risk.
Oct 7, 2026 9m
Intermediate
Meta Muse AI Agent Explained: How It Works, Pricing and the Sentinel Safety Model
Meta's Muse runs in a per-user Secure VM while a separate Sentinel agent approves every action. How it works, pricing, and how to copy the guard-agent pattern.
Oct 7, 2026 10m
Intermediate
OpenAI DevDay 2026 for Agent Builders: Agents API Computer Use, GPT-6.1 Sol, MCP Events
The OpenAI DevDay 2026 announcements that matter for agent builders: Agents API computer use, GPT-6.1 Sol at one-fifth the price, MCP Events and Dots.
Oct 7, 2026 9m
Foundations
What Are OpenAI Dots? Always-On ChatGPT Agents Explained (2026)
OpenAI Dots are always-on ChatGPT agents with their own cloud computer. How they work, pricing, approval rules, specialist Dots, and how to set one up.
Oct 7, 2026 9m
Advanced
AI Agent Loops: Stopping Conditions and Guardrails for Production
Why agents loop forever and the guardrails that stop them: iteration limits, cost budgets, tool-call deduplication, progress checks and clear 'done' criteria.
Sep 4, 2026 12m