How Prompts Work Inside Agents (And Why You Usually Don’t Need to Touch Them)

You don’t have to write prompts. We’ve already done it for you.

Every Agent in Ongage Studio runs on a behind-the-scenes prompt — a block of text that gives your selected AI model a set of clear, detailed instructions.

But here’s the key difference:
You don’t need to write those instructions yourself.
You don’t need to study prompt engineering.
And most of the time, you won’t even need to open the prompt editor at all.

The prompts behind your Agents are already structured, scoped, and fine-tuned to generate the type of content you selected — with your Brand Voice, inputs, formatting, and tone fully integrated.

So What Is a Prompt, Technically?

A prompt is the instruction set that tells the AI what to do.

When you run an Agent, Ongage takes the information you’ve selected or filled in — your topic, voice, length, output format — and drops that into a hidden set of instructions that look something like:

“Write a helpful blog post using {{BrandVoice}}. The topic is {{Input_Source}}. Format the article with an intro, 3–5 subheadings, short paragraphs, and a one-sentence summary at the end.”

You never see the brackets ({{ }}) when the output is generated — that’s handled by the system. You simply fill in your inputs and click Run.

The Agent builds the prompt for you.

When Would You Ever Need to Look at the Prompt?

In most cases: you don’t.

But there are a few situations where it might be helpful to open the prompt panel inside an Agent:

You want to verify the tone or structure it’s using
You’re collaborating with a technical team or editor who needs to make slight changes
You’ve been asked to replicate or customize an Agent across different Sites or Brands
You’re troubleshooting a misfire and want to see if a formatting rule is missing

Even then, most fields will be pre-filled or defaulted based on your Brand Voice, Site settings, or Agent template.

The goal is not to make you responsible for writing prompts — it's to let you understand just enough to feel confident using them.

What You’ll Actually See in the Interface

Inside the Agent setup screen:

Basic Configuration fields will ask for inputs like “Topic,” “Tone,” or “CTA Goal.”
Advanced Configuration is hidden by default, but can be expanded to view the full prompt.
Any placeholder tokens ({{ }}) inside the prompt will auto-resolve at runtime based on your inputs.

Even if a field looks “blank,” it’s usually tied to a system default behind the scenes.

You're not building the prompt — you're shaping it passively through your selections.

What Happens When You Run an Agent

Here’s a simplified version of what happens under the hood:

You fill in a few basic fields (or use Site defaults).
Studio builds a prompt in the background using those values.
That prompt is passed to the selected LLM model (like GPT-4 or Claude 3).
The model responds with content based on that exact instruction set.
The output is returned in your selected format (HTML, XML, etc.), ready to preview or publish.

No coding, no copy-pasting, no guessing required.

Summary

You don’t need to know prompt engineering to get great content from Studio.

Prompts power every Agent, but they’re handled behind the scenes.
Your selections shape the prompt automatically.
You can view or tweak prompts if needed — but most users never need to.
Studio’s goal is to give you pro-level results without asking you to think like a developer.

Want to experiment? Great — we offer full access to the prompt.
Want to skip it entirely? Also great — that’s what Agents are for.