AI Agent Examples
What an AI agent looks like in different jobs.
AI agents show up wherever a task needs a string of decisions rather than one answer. Here's what that looks like across a few different jobs, including marketing.
By job
Same loop, different work.
Every example below runs the same perceive-decide-act cycle. What changes is what they're perceiving and what "acting" means for that job.
Coding agents
Read a codebase and a task, decide what change is needed, write it, and run tests to check the result before deciding the next step.
Support agents
Read an incoming ticket, decide how to resolve it, and carry the resolution through — not just draft a suggested reply for a human to send.
Research agents
Monitor sources you care about, decide what's actually relevant against what you're tracking, and file it as something worth acting on.
Marketing agents
Read your goals and analytics, decide what content is worth making next, and produce the draft or render — the Machinai example.
A closer look
What a marketing agent example actually produces.
Machinai's agent starts from your goals and current numbers, brings you a ranked list of decisions, then produces the draft, graphic, or rendered video for whatever you approve — the reasoning is attached, and nothing publishes without your click.
- Decision, with reasoningYou see why a piece of content was recommended, not just the content itself.
- Finished output, not a suggestionThe draft, graphic, or video comes back done — ready to review, not a starting point to build from.
Questions
The things people ask first.
What are some real examples of AI agents?
Common categories include coding agents that write and test code changes across a repository, support agents that resolve a ticket end to end, research agents that monitor sources for relevant changes, and marketing agents that plan and produce content on an ongoing basis.
What's an example of a marketing AI agent?
Machinai is one: it reads your goals and analytics, brings you a ranked list of what to work on, and produces the drafts, graphics, or rendered video for whatever you approve — the agent decides and makes, you approve and publish.
Are AI agent examples different from AI automation examples?
Yes — an automation example is a fixed task like auto-resizing an image, while an agent example includes the decision of which image was worth making in the first place, based on a goal.
Can I see what an AI marketing agent produces before trusting one?
You should be able to — a marketing agent worth adopting shows you the reasoning behind what it's proposing and the draft it produced before anything publishes, rather than acting as a black box.
Get it before everyone else.
The download opens to the waitlist first, and the founding cohort is invited from this list. One email when it's ready — nothing in between.