AI Agent FAQ: Answers to the Most Common Questions

This FAQ covers the most common questions we get about AI agents. Browse by category or use the search to find specific topics.

Basics

What is an AI agent?

An AI agent is software that takes actions on your behalf — sending emails, making purchases, controlling applications — without step-by-step human instruction. Unlike chatbots that only generate text, agents can interact with the world. See our How AI Agents Work guide for details.

What's the difference between an AI agent and a chatbot?

Chatbots generate text; agents take actions. A chatbot suggests what you should say; an agent says it for you. See our comparison guide.

Are AI agents new?

The concept isn't new, but capable AI agents are. Early agents (2023-2024) were unreliable; 2026 agents are genuinely useful. See our history guide.

Getting started

Which AI agent should I start with?

For general-purpose use: Claude Computer Use. For no-code business automation: Lindy. For shopping: Operator. See our platform selection guide.

How much do AI agents cost?

Entry tiers: $20/month. Power tiers: $100-200/month. Enterprise: $30+/user/month. See our pricing comparison.

Do I need to know how to code?

No. Platforms like Lindy are no-code. Some technical comfort helps for advanced configurations. See our platform guide for options by technical level.

Safety and security

Are AI agents safe?

Yes, with proper configuration. Use least-privilege permissions, enable audit logging, and keep humans in the loop for critical decisions. See our safety guide.

Can AI agents make mistakes?

Yes. Agents hallucinate 3-8% of the time for factual claims. Always verify critical work. See our hallucination guide.

Can AI agents be hacked?

Agents can be misconfigured to cause harm, but they're not typically hack targets. The bigger risk is configuration errors. See our permissions guide.

Capabilities

What can AI agents do?

Agents can handle routine, well-defined tasks: inbox triage, research, drafting, scheduling, code review, customer support. See our 50 use cases guide.

What can't AI agents do?

Agents struggle with: genuine creativity, complex judgment, physical action, deep domain expertise, novel situations. See our myths guide.

Can AI agents replace employees?

For routine tasks — partially. For judgment work — no. Most productive setups pair agents with humans. See our myths guide.

Technical

How do AI agents work?

Agents use a perceive-decide-act loop: they receive information, decide what to do, take action, observe results, and repeat. See our technical guide.

What is function calling?

The mechanism that lets LLMs call external functions. See our function calling guide.

What is MCP?

Model Context Protocol — the open standard for connecting agents to tools. See our MCP guide.

What is RAG?

Retrieval-Augmented Generation — lets agents answer questions about your data. See our RAG guide.

Business and ROI

What's the ROI of AI agents?

Average ROI: 3.4x. Median payback: 2.4 months. See our ROI guide and statistics page.

How do I measure agent ROI?

Track time saved, convert to dollars, subtract costs. See our measurement guide.

Should my business adopt AI agents?

Almost certainly yes. 67% of enterprises already use agents in production. See our SMB guide.

More questions?

If your question isn't answered here, contact us and we'll add it to this FAQ.