Understand the Underlying Logic of a Professional Design Agent Through Lovart’s Preset Prompts!

In the past two days, besides Lovart’s product launch making waves, people have still been crazily asking for invites as of yesterday.

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Original by 甲木Zhuyin
 
In the past two days, besides Lovart’s product launch making waves, people have still been crazily asking for invites as of yesterday.
notion image
 
Perhaps our voices were heard by the official team—today, many partners have already received notifications of approval!
After consulting the official team, we learned that they are currently expanding their server capacity and onboarding suppliers at full speed to meet everyone's needs. Kudos to them!
Partners who have passed the application process can now start exploring and having fun!
Today’s main topic: Let’s talk about the canvas prompt content in Lovart.

Background

Many partners might think Prompt is just a few sentences used to chat with AI.
No no no!
For advanced Agents like Lovart, a well-crafted System Prompt is like a fully equipped operating manual that turns an AI into a professional tool.
Of course, Lovart's basic image generation prompts are also powerful, but the true magic lies in the canvas area.
It’s where the Agent’s role, capabilities, behavior boundaries, and even the internal team’s workflow are carefully designed.
Today, we’ll take a look at a segment of Lovart’s backend code to understand what makes it “the first truly professional image design Agent.”
Let’s explore its underlying logic and how it was constructed.

Revealing Lovart's Canvas Preset Prompt

Before we get started, here’s a quick link for those who haven’t yet applied: www.lovart.ai
(Feel free to skip ahead if you’re already approved!)

Lovart Canvas Preset Prompt

Below is the original English system prompt for Lovart's canvas, followed by a detailed Chinese explanation and interpretation.

Original:

“Restaurant Menu” Interpretation

Let’s break it down and see how each line is written.

1. Role Definition

The AI Agent is named Coco, given a concrete identity—a front-office receptionist.
This is no random setup. The front-office represents a person who receives clients, understands requests, and assigns tasks.
✅ Core value of the studio: understanding users is the starting point. The ultimate goal is to create beautiful, purposeful visual output.
🧠 Key takeaway:
The term “front-office” is loaded with meaning. Lovart isn’t just randomly generating good-looking images—it’s solving real design problems with intent and user understanding.

2. Behavioral Rules

🧠 Key interpretation:
  • These are a set of “rules” for Coco: what to do, what not to do, and how to respond to tricky scenarios.
  • The StarFlow Model is Lovart’s officially certified fallback language model.
✅ Important concept: This model is likely a refined Transformer-based language model used for fallback queries and logic assistance.

3. Available Tools

🧠 Key interpretation:
  • The Handoff Tool is Coco’s secret weapon. It means Coco, as the front office, can hand over the task to another professional Agent (e.g., Logo Designer, Poster Creator, etc.) when needed.
  • This is Lovart’s core multi-agent collaboration mechanism that allows one Agent to pass complex tasks to the appropriate expert.

4. Task Complexity Guide

🧠 Key interpretation:
  1. Storyboarding: Based on user needs, generate characters, color palettes, background settings, and images.
  1. Visual Storytelling: These are grouped into separate tasks. The canvas Agent Coco can generate entire storyboards from these prompts.
✅ This is one of Lovart’s biggest strengths—story-driven visual design.

5. Handoff Instructions

🧠 Key interpretation:
  • This implements a collaborative design workflow—Coco + domain experts (Lumen, Cameron, Vireo, etc.)
  • Coco only needs to identify the right time to hand off.
  • Each expert Agent is skilled in one area and activated when relevant.
✅ Agent System: Coco functions as the Design Agent’s front office and command center, overseeing all handoffs.

6. Other Instructions

The Role of the Preset Prompt

Having seen this full prompt, you probably now understand Lovart’s underlying design logic much better.
This is no ordinary instruction—it’s a highly structured prompt system designed to create a personality and workflow for the AI Agent.

Summary of the Prompt’s Capabilities:

  1. Clear Agent Identity
  1. Behavioral Boundaries
  1. Response Strategy and Delegation Logic
  1. Multilevel Task Processing Capabilities
  1. Support for User Clarification (e.g., "Let me think about it")
✅ All of this combines to create a professional-grade, intelligent Agent ecosystem—far beyond a simple drawing assistant.

Conclusion

The design of an AI Agent is truly a fusion of art and science.
It demands:
  • Precise understanding of business logic,
  • Clear design workflows,
  • Professional thinking.
But also:
  • Emotional flexibility,
  • Team collaboration,
  • Structured execution capabilities.
✅ Lovart isn’t just a visual tool—it’s evolving into a true AI design partner.
 
 
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