I've spent the last few weeks playing around and creating AI agents on Relay.app, and honestly? It's been eye-opening. I'm no expert yet, but even fumbling through the basics has taught me something important: learning this stuff costs money. And yet, the possibilities for marketing are huge.
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| Image credit: BotSpace |
Nobody Tells You About the Price Tag
AI tutorials make everything look so simple and free.
Spoiler alert! It's not!
First, there's the subscriptions. ChatGPT is great for
brainstorming campaign ideas and mapping out content, but if you want to do
anything more serious, you need the paid version. Then there are the creative
tools like Google Veo 3, PixVerse and Kling. Whatever
you're using to generate or animate videos. Every time you render something,
tweak the resolution, or add an animation, you're burning through credits.
Want to auto-post to your social media accounts like LinkedIn
or X/Twiiter? That's another layer. You'll need to mess around with APIs and
webhooks, and sometimes that means paying for extra licenses or integration
connectors.
And here's the kicker…nothing works perfectly the first
time. You test. You break things. You test again. Each attempt eats up more
credits. The costs add up fast, and suddenly your "free learning"
project has a bill attached.
What I'm Actually Using Relay.app For
Relay.app has made this whole experiment feel more
practical. It connects AI to the actual work I do in marketing, which is where
things get interesting.
I can set up a workflow that triggers when a blog post goes
live, use AI to create different versions of copy for various channels, and add
a review step so my team can approve everything before it goes out. I can plug
in APIs to connect with a CRM or ad platforms, and build conditions that let me
segment audiences or personalize campaigns.
It's not magic. It's just automation that actually makes
sense for marketing. Instead of manually reformatting content for five
different platforms, the system does the grunt work while I focus on strategy.
What I've Built So Far
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| Relay.app home console. As you can see, there are errors during my runs. |
Here are a few workflows I've put together:
Content amplification: When a new blog post publishes
(from a website of your choosing), it automatically creates posts for LinkedIn
and X with AI-generated captions tailored to each platform.
Video to post: When a YouTube video goes live, it
pulls the transcript, summarizes it, and sends me a draft post to review before
publishing.
Campaign variations: I can generate multiple copy
versions for different audience segments, ready to drop into A/B tests.
Each one costs credits. Each one takes time to set up. But
once they're running, they save me hours every week.
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| Sample of a workflow step using prompt to summarize a transcript from a YouTube video to social posting content. |
Is It Worth the Investment?
Look, not gonna lie. This isn't cheap. But for marketers,
the return is real.
You can repurpose content across platforms in minutes
instead of hours. You can segment audiences and personalize messaging without
drowning in spreadsheets. You can move faster on campaigns because you're not
bogged down in repetitive tasks.
I'm not trying to become some AI engineer here. I just want
to understand how these tools can help me do better marketing at scale. Every
workflow I build clarifies how automation can boost efficiency and results.
Learning AI costs money, sure. But it feels like I'm building something that'll give me an edge down the road. And in marketing, that edge matters.
What about you? Have you try bulding an AI Agent? Let me
know!
P/S: This is not a paid article by relay.app