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AI Agent FAQs
These are things we’re frequently thinking about, and you may be too. Answered.
Basic Understanding
What is an AI agent?
How do AI agents differ from chatbots?
Are there 'types' of AI agents?
Should I think of an AI agent as a replacement for hired roles?
How do AI agents work?
What’s the difference between AI agents and automation?
What is the difference between 'deterministic' and 'probabilistic' processes?
What is a trigger?
What tools do agents have access to, and how?
What is Model Context Protocol (MCP)?
What is the "agent mesh"?
Building AI Agents
What tools can I use to build AI agents?
Should I have one agent, or many, for different functions?
Do I need to be a developer to build my own AI agents?
Can ChatGPT or something like Claude be an "agent"?
What no-code or visual builders can I use to build an AI agent?
When should I use visual, no-code builders to make agents, vs custom code?
What frameworks exist for custom agent development?
What's the difference between an API and "MCP"?
AI Agent Capabilities & Use-Cases
What tasks can AI agents perform?
Do humans need to drive/prompt AI agents?
What industries are most commonly adopting AI agents now?
Do AI agents integrate with current software systems?
Do AI agents learn over time?
Can AI agents handle multiple tasks simultaneously?
Costs, Security and Other Concerns
How much do AI agents cost?
What are the pricing models of AI agents?
How do I control costs of AI agents?
How is the ROI of AI agents generally measured?
How do AI agents access tools that require authorization (e.g. Drive)?
Can AI agents access sensitive company information?
Do AI agents make mistakes?
How do I avoid costly mistakes?
How do people monitor and control their agents?
How do I keep up? (Follow us)