AI agent
AI fundamentalsDefinition
An AI agent is software that uses a model to pursue a goal across multiple steps: it plans, uses tools, reads results, and adjusts, rather than answering one prompt. A marketing AI agent can audit a site, draft the fix, schedule the post, and read the analytics.
The difference from a chatbot is agency: a chatbot answers you, an agent acts for you. Agents chain steps (query data, decide, execute, verify) and carry context across them, which is what makes delegation possible.
Agents earn trust through grounding and guardrails: access to your real data, constraints on what they may do, and outputs that stay reviewable. Ungrounded agents scale mistakes as fast as work.
How Savra puts it to work
Savra is an AI marketing team built on this pattern: 42 skills across 12 domains, grounded in your Brand Genome and your live first-party data, acting like a staff rather than a chat window.
People also ask
What is the difference between an AI agent and a chatbot?
A chatbot converses; an agent executes multi-step work with tools and memory. Most modern marketing AI sits somewhere on the spectrum between them.
What should a marketing AI agent be allowed to do?
Start with drafts and analysis, then graduate to scheduled publishing as trust builds. Keep credentials scoped and every action reviewable.
Where this lives in Savra
See how Savra puts ai agent to work.
Does your brand sound like itself?
Run the free 90-second Brand Genome audit and see where your marketing drifts off-voice.