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How to Create High-Quality Product Promo Images with Midjourney: A Complete Prompt Guide

cheng zhang — Thu, 09 Jul 2026 08:02:55 +0000

Category: AI Image Tutorial / Product Promo Visuals

Target readers: e-commerce operators, brand marketers, content creators, designers, independent sellers, and anyone who wants to create product hero images and promotional visuals with AI

Test date: July 9, 2026

Bottom line: Midjourney is excellent for visual concepts, advertising atmosphere, premium product scenes, and creative direction. But it is not the best tool for final commercial layouts with precise Chinese text, prices, logos, and compliance information. The best workflow is to generate a high-quality visual base in Midjourney, then finish layout and text in Canva, Photoshop, or Figma.

1. What Product Promo Images Is Midjourney Good For?

Midjourney’s strength is not final ad layout. Its strength is high-quality visual generation.

It is especially good for:

Scenario	Fit	Notes
E-commerce hero visuals	High	Great for background, lighting, texture, and atmosphere
Social media promo images	High	Good for Xiaohongshu, Instagram, blog, and newsletter visuals
New product concept posters	High	Great for launches, brand storytelling, and mood direction
Independent site banners	High	Clean, premium, international visuals
Product photography simulation	High	Studio, natural light, macro, and lifestyle photography
Chinese text posters	Medium-low	Add final Chinese text in post-production
Accurate logo and packaging text	Medium-low	Use real assets and post-production for final delivery
Consistent SKU batch images	Medium	Use references, Omni Reference, or downstream workflows

In one sentence:

Midjourney is more like an AI photo studio and creative art director than a final layout tool.

2. Which Midjourney Model Should You Use?

As of the test date, Midjourney’s official documentation lists V8.1 as the default version. V8.1 was released on April 30, 2026 and became the default model on June 10, 2026. The documentation says it is the fastest model so far, with standard jobs rendering about 4–5 times faster than earlier versions, and it is better at reading prompts and preserving small details.

Older tutorials about V6 or V7 are not useless. V7 was released in 2025 and introduced Draft Mode and Omni Reference, which can help with image prompts, texture, object details, and object consistency. For product promo images, use the current default V8.1 for general generation, and pay attention to V7 Omni Reference if you need to preserve a specific product or object.

The prompt templates in this article are written to be broadly useful for current Midjourney workflows.

3. The Core Structure of a Product Prompt

Many beginners write prompts like this:

a skincare product, premium, beautiful

That is too vague.

A stronger product prompt should include nine modules:

Module	Role	Example
Product subject	Defines the hero object	a premium matte black perfume bottle
Product features	Material, color, shape	frosted glass, silver cap, minimal label
Use scenario	Adds commercial context	luxury bathroom counter, morning light
Brand mood	Defines tone	clean, elegant, high-end, calming
Camera language	Controls composition	close-up product photography, 85mm lens
Lighting	Defines texture	soft diffused studio lighting
Background	Defines visual hierarchy	beige marble background, subtle reflections
Aspect ratio	Fits the platform	`--ar 4:5`, `--ar 16:9`, `--ar 1:1`
Negative constraints	Removes errors	`--no hands, people, distorted logo, extra text`

Universal template

[product subject], [product features], placed in/on [use scenario],
[brand mood and product benefit atmosphere],
[camera language], [lighting], [background and material],
commercial product photography, premium advertising visual,
clean composition, realistic details, high-end branding
--ar [ratio] --style raw --s [stylize value] --no [unwanted elements]

4. Useful Parameters for Product Images

Midjourney’s official documentation says parameters should be placed at the end of the prompt. They control things such as aspect ratio, style, version, quality, and exclusions.

Parameter	Use	Product image advice
`--ar`	Aspect ratio	1:1 for e-commerce, 3:4 or 4:5 for social, 16:9 for banners
`--s` / `--stylize`	Artistic strength	Use 50–250 for product images
`--raw`	Less default styling	Better for realistic and commercial visuals
`--no`	Exclusions	Remove extra text, hands, distorted logos, clutter
`--seed`	Reproducibility	Useful for series testing
`--repeat`	Multiple generations	Good for fast exploration
`--sref`	Style reference	Keeps a consistent visual theme
`--sw`	Style weight	Controls reference style influence
`--oref`	Omni Reference	Helps preserve a product or object in V7

Aspect ratio guide

Platform	Recommended ratio	Parameter
E-commerce hero image	1:1	`--ar 1:1`
Xiaohongshu cover	3:4 / 4:5	`--ar 3:4` or `--ar 4:5`
Blog / newsletter cover	16:9	`--ar 16:9`
Website banner	21:9 / 16:9	`--ar 21:9` or `--ar 16:9`
Vertical poster	2:3 / 3:4	`--ar 2:3` or `--ar 3:4`

5. Six Copyable Product Promo Prompt Templates

Template 1: Premium studio product shot

Best for skincare, perfume, cups, digital accessories, and premium products.

a premium skincare serum bottle, frosted transparent glass, silver pump cap,
placed on a beige marble surface,
minimal luxury beauty advertising, clean and elegant,
close-up commercial product photography, 85mm lens,
soft diffused studio lighting, subtle reflection, shallow depth of field,
high-end brand visual, realistic texture, clean composition
--ar 4:5 --style raw --s 120 --no people, hands, extra text, distorted label, watermark

Tips:

frosted glass controls material;
soft diffused studio lighting creates a studio look;
--style raw helps keep it commercial rather than overly artistic;
Add final label and logo manually.

Template 2: E-commerce hero image

Best for coffee, drinks, snacks, home goods, and beauty products.

a modern iced coffee bottle, clean cylindrical packaging,
placed in the center of a premium e-commerce hero image,
dark blue gradient background with soft glowing light,
fresh coffee beans and ice cubes around the product,
commercial product photography, sharp focus, realistic reflections,
premium, clean, high conversion product visual
--ar 1:1 --style raw --s 100 --no people, hands, messy background, extra text, fake logo, distorted bottle

Tips:

Keep the hero image clean;
Add price, label, and selling points later;
Use a real product reference when product shape must be accurate.

Template 3: Lifestyle product scene

Best for mugs, tumblers, candles, home goods, fashion, and sports products.

a minimalist white ceramic coffee mug on a wooden desk,
morning sunlight through a window, cozy home office,
open notebook, laptop blurred in background, calm lifestyle mood,
realistic lifestyle product photography, natural light, warm tone,
soft shadows, shallow depth of field, premium editorial style
--ar 4:5 --style raw --s 180 --no people, hands, messy desk, extra text, watermark

Tips:

Lifestyle visuals need a usage scenario;
blurred in background helps create depth;
Use warm tone, cozy, and editorial style for mood.

Template 4: Tech product poster

Best for earbuds, smart watches, phone cases, keyboards, AI hardware, and software visuals.

a sleek wireless earbud case, matte black finish, floating above a dark reflective surface,
futuristic blue light trails, subtle holographic interface elements,
premium technology product advertising, dramatic studio lighting,
sharp edges, clean composition, cinematic contrast,
high-end tech brand campaign visual
--ar 16:9 --style raw --s 200 --no people, hands, random text, distorted product, clutter

Tips:

Tech visuals depend on lighting and background;
Holographic elements may generate fake text, so edit later;
Good for website banners and product launch visuals.

Template 5: Seasonal promotion visual

Best for holiday campaigns, gifts, shopping festivals, Christmas, Valentine’s Day, and Mother’s Day.

a premium gift box product set, elegant red and gold packaging,
placed on a festive holiday table with soft bokeh lights,
luxury seasonal promotion visual, warm cinematic lighting,
clean product-centered composition, realistic materials,
high-end advertising photography, celebration mood
--ar 3:4 --style raw --s 160 --no people, hands, extra words, distorted packaging, watermark

Tips:

Use color, props, and light to show the season;
Add event text later;
Avoid relying on Midjourney for exact Chinese promo copy.

Template 6: Minimal luxury brand visual

Best for high-end beauty, perfume, tea, jewelry, and designer brands.

a luxury perfume bottle with a minimal rectangular shape,
placed on a smooth ivory stone pedestal,
monochrome beige background, elegant negative space,
premium minimalist advertising photography,
soft studio light, subtle shadow, refined texture,
quiet luxury, clean brand campaign visual
--ar 4:5 --style raw --s 80 --no people, hands, text, logo distortion, clutter

Tips:

Minimalism needs fewer elements;
negative space leaves room for typography;
--s 80 keeps the look controlled.

6. Prompt Formulas

Formula 1: Product photography

Product + material + scene + lighting + lens + background + commercial use + parameters

Example:

a premium stainless steel water bottle, brushed metal texture,
on a wet black stone surface, soft studio lighting, 85mm lens,
dark luxury background, commercial product photography
--ar 4:5 --style raw --s 120 --no people, hands, text

Formula 2: E-commerce conversion

Product + visualized benefit + clean background + centered composition + premium lighting + conversion intent + parameters

Example:

a compact portable blender, transparent cup, fresh fruit pieces around it,
centered composition, clean white and green background,
bright commercial lighting, e-commerce hero product image
--ar 1:1 --style raw --s 100 --no people, hands, extra text

Formula 3: Brand mood

Product + brand keywords + scene metaphor + color palette + lighting + negative space + parameters

Example:

a luxury tea canister, calm oriental premium brand mood,
misty mountain silhouette in background, jade green and ivory color palette,
soft morning light, elegant negative space, editorial advertising visual
--ar 3:4 --style raw --s 180 --no text, people, hands

Formula 4: Consistent series

Fixed product description + fixed style words + fixed background system + fixed parameters + seed / style reference

Example:

a premium skincare bottle, frosted glass, silver cap,
minimal beige marble background, soft diffused studio lighting,
luxury beauty advertising, clean composition
--ar 4:5 --style raw --s 100 --seed 20260709

7. How to Make Product Images Look More Commercial

7.1 Describe materials instead of saying “premium”

Use:

frosted glass;
brushed metal;
matte ceramic;
glossy plastic;
transparent acrylic;
natural leather.

7.2 Describe lighting instead of saying “beautiful”

Useful lighting phrases:

soft diffused studio lighting;
natural morning light;
dramatic rim light;
cinematic side lighting;
softbox reflection;
warm golden hour light;
high contrast studio light.

7.3 Describe camera language instead of saying “realistic”

Useful camera phrases:

commercial product photography;
macro photography;
close-up shot;
85mm lens;
shallow depth of field;
sharp focus;
product-centered composition;
editorial advertising photo.

7.4 Leave space for text

Add:

large clean negative space on the top
large empty space on the right side for text
minimal background with room for typography

7.5 Use negative constraints

Common product image issues include extra hands, distorted packaging, fake labels, clutter, and random text.

Use:

--no people, hands, extra text, watermark, distorted logo, deformed packaging, clutter, low quality

8. How to Use References for Product Consistency

If you have a real product photo, do not rely only on text prompts. Midjourney supports multiple reference methods.

8.1 Image Prompt

Use a reference image as part of your prompt to guide product shape, color, and composition.

8.2 Style Reference

Midjourney says Style Reference captures the overall visual vibe of a reference image, such as colors, medium, textures, and lighting. It does not copy objects or people. This is useful for keeping a campaign visually consistent.

Example:

premium skincare product photography, beige marble background, soft luxury lighting --sref [image URL] --sw 150

8.3 Omni Reference

Midjourney says Omni Reference can place a character, object, vehicle, or non-human creature from a reference image into a new generation, and it is compatible with V7. It is useful for preserving a product or object, but fine details like logos may not match perfectly and it costs more GPU time.

Best for:

preserving approximate product shape;
keeping a character;
keeping a specific object form;
making multi-scene visuals for one product.

Not ideal for:

exact trademark reproduction;
exact packaging text;
industrial-grade product consistency;
replacing real product photography.

9. Full Product Image Workflow

Step 1: Prepare inputs

Prepare:

product name;
product category;
core selling points;
target audience;
use scenario;
brand mood;
platform size;
reference product image;
whether final text is needed.

Step 2: Generate visual directions

Do not chase the final image immediately. Generate 4–8 visual directions first.

Example:

a premium portable coffee maker, compact matte white design,
modern kitchen counter, morning sunlight, clean lifestyle photography,
minimal premium brand mood, soft shadows, realistic materials
--ar 4:5 --style raw --s 120 --repeat 2

Step 3: Select and refine

Choose the best direction, then tighten the composition:

same premium portable coffee maker concept,
more centered composition, cleaner background, stronger product focus,
more negative space for headline, soft studio lighting, realistic texture
--ar 4:5 --style raw --s 80

Step 4: Build a series

Image type	Use
Hero image	Product main visual / banner
Lifestyle image	Usage scenario
Detail image	Material, structure, feature
Mood image	Brand atmosphere
Social cover	Xiaohongshu, blog, Instagram
Campaign image	Promotion, holiday, launch

Step 5: Finish in design tools

Use Canva, Photoshop, or Figma for:

logo;
Chinese title;
price;
selling point badges;
promotion info;
cropping;
compliance notes;
real product detail checks.

10. Test Tasks and Scores

Test tasks

Task	Goal
Skincare studio shot	Glass, metal, soft light, luxury feel
Coffee e-commerce image	Centered product, texture, clean background
Smart device poster	Tech lighting and structural stability
Social cover base	Vertical composition and negative space
Holiday gift visual	Seasonal mood and commercial quality
Reference consistency	Product shape retention
Post-production usability	Room for text, cropping, and final layout

Scorecard

Dimension	Score	Notes
Visual quality	95/100	Excellent lighting, composition, and mood
Creative direction	92/100	Great for exploring ad concepts
Product realism	84/100	Good overall, but packaging details need manual checks
Chinese poster readiness	65/100	Do not rely on it for final Chinese text
Series consistency	78/100	References help, but not industrial-level consistency
Post-production usability	88/100	Strong if negative space and composition are controlled
Beginner friendliness	82/100	Easy to learn, but parameters and limits matter

Overall score: 83 / 100

Verdict:

Midjourney is excellent for creative visual bases and premium product atmospheres, but commercial delivery still requires human selection, typography, logo checks, and compliance review.

11. Common Prompt Mistakes

Mistake 1: Only using adjectives

Bad:

premium product image, high-end, beautiful

Better:

a luxury perfume bottle, frosted glass, silver cap,
on beige marble, soft diffused studio lighting,
minimal commercial product photography

Mistake 2: Asking Midjourney to do Chinese layout

Bad:

Create a Chinese poster that says “新品上市 限时优惠”

Better:

Create a product promo background with no text, with large clean space on the right for adding Chinese headline later

Mistake 3: Too much background clutter

Bad:

flowers, clouds, light, people, city, particles, mountains, many decorations

Better:

clean product-centered composition, minimal background, subtle props

Mistake 4: No negative constraints

Bad:

a product advertisement

Better:

a product advertisement --no people, hands, extra text, distorted logo, messy background

Mistake 5: Overusing stylization

Product promo images should not be too artistic. Start with:

--style raw --s 80

Then test 150 or 200 if needed.

12. Commercial Use Notes

Do not treat AI output as a real product photo. If you sell an actual product, check appearance, structure, color, size, and details.
Add logos and packaging text manually. Do not rely on AI to generate precise trademarks or Chinese text.
Avoid competitor-like packaging. Watch for trademark, design patent, and unfair competition risks.
Follow platform rules. E-commerce platforms may regulate main images, efficacy claims, and misleading visuals.
Keep human review. AI images should be reviewed by design, marketing, or legal teams before launch.
Check Midjourney’s terms. Commercial use, privacy, account rules, and output rights should be checked against official terms.

13. Recommended Workflows

E-commerce hero image

Midjourney background and scene → Photoshop real product composite → Canva/Figma selling points → human review → publish

Social media cover

Midjourney visual base → ChatGPT title ideas → Canva layout → A/B test titles

Brand poster

Midjourney moodboard → choose visual direction → generate promo background → designer adds logo and copy

Website banner

Midjourney landscape scene → Figma layout → add CTA button → export compressed WebP

14. Final Verdict

The key to creating high-quality product promo images with Midjourney is not stacking words like “premium,” “cinematic,” and “realistic.” It is breaking the image into controllable modules:

Product subject + material + scene + lighting + lens + background + negative space + parameters + negative constraints.

The most practical prompting mindset is:

Describe what the product is, where it is, what light it uses, what camera style it has, what brand mood it carries, and what platform it is for. Then use parameters to control ratio, style, and exclusions.

Midjourney is best for:

visual ideas;
product atmosphere;
advertising look;
background scenes;
social media cover bases;
e-commerce hero drafts.

But final commercial images still need:

real product checks;
logo compositing;
Chinese typography;
price and selling point verification;
platform rule checks.

One-sentence conclusion:

Use Midjourney to create beautiful commercial visual bases, then use professional design tools to produce accurate, publishable final promo images.

15. SEO Information

SEO title: How to Create High-Quality Product Promo Images with Midjourney: A Complete Prompt Guide

SEO description: This guide explains how to use Midjourney to create product promo images, covering prompt structure, parameters, studio shots, e-commerce hero images, lifestyle scenes, tech posters, seasonal visuals, reference consistency, commercial-use notes, and complete workflows.

Keywords: Midjourney product image, Midjourney prompt, AI product promo image, AI e-commerce hero image, Midjourney tutorial, product photography prompt, AI advertising image, social media cover, e-commerce design, commercial AI art

16. Data Sources and References

Midjourney Version documentation: V8.1 default version, V7 release, Draft Mode, and Omni Reference.

https://docs.midjourney.com/hc/en-us/articles/32199405667853-Version
Midjourney Parameter List: --ar, --no, --raw, --stylize, --sref, --seed, --repeat, and other parameters.

https://docs.midjourney.com/hc/en-us/articles/32859204029709-Parameter-List
Midjourney Style Reference documentation: Style Reference captures the overall visual vibe of a reference image, controlled with --sref and --sw.

https://docs.midjourney.com/hc/en-us/articles/32180011136653-Style-Reference
Midjourney Omni Reference documentation: Omni Reference can bring a person, object, vehicle, or non-human creature from a reference image into new generations, using --oref and --ow.

https://docs.midjourney.com/hc/en-us/articles/36285124473997-Omni-Reference
Midjourney Plans documentation: Basic, Standard, Pro, Mega subscriptions, Fast GPU Time, Relax Mode, and Stealth Mode.

https://docs.midjourney.com/hc/en-us/articles/27870484040333-Comparing-Midjourney-Plans
Midjourney Terms of Service: service quality, assets, inputs, responsibility, and intellectual-property related terms.

https://docs.midjourney.com/hc/en-us/articles/32083055291277-Terms-of-Service

Publish-ready Summary

This guide explains how to create high-quality product promo images with Midjourney. It breaks a product prompt into nine modules: product subject, product features, use scenario, brand mood, camera language, lighting, background, aspect ratio, and negative constraints. It provides copyable templates for studio product shots, e-commerce hero images, lifestyle scenes, tech posters, seasonal promotions, and minimalist luxury visuals. The key conclusion is that Midjourney is excellent for premium commercial visual bases, but final text, logos, prices, selling points, and compliance information should still be completed in Canva, Photoshop, or Figma.

Originally published on Zyentor Picks.

How to Build Your First AI Agent with Coze: A No-Code Beginner Guide

cheng zhang — Thu, 09 Jul 2026 07:43:09 +0000

How to Build Your First AI Agent with Coze: A No-Code Beginner Guide

Category: AI App Building / Agent Tutorial

Target readers: AI beginners, content operators, customer support teams, product managers, indie builders, and anyone who wants to build an AI assistant without coding

Test date: July 8, 2026

Bottom line: Coze is one of the most beginner-friendly platforms for building a first AI agent without code. Instead of writing backend code, you can configure roles, prompts, knowledge bases, workflows, plugins, and publishing channels to turn a simple chatbot into an agent that answers questions, calls tools, and handles lightweight business processes.

1. What Is Coze?

Coze is a platform for building AI agents and AI applications. Its goal is to lower the barrier to agent development by letting users create AI assistants through a visual interface, natural language configuration, knowledge bases, workflows, and plugins.

In simple terms:

ChatGPT / Claude / Qwen are general-purpose AI assistants;
Coze is an AI agent building platform;
You can use Coze to create a specialized assistant for a specific scenario, such as a customer support bot, course advisor, resume coach, product knowledge assistant, meeting note assistant, or event registration assistant.

Coze’s official materials cover Agent building, Workflow / Chatflow, Knowledge Base, Plugins, publishing, and API-related capabilities. Its pricing page also includes a Free plan, which is suitable for building a first demo.

2. AI Agent vs. Ordinary Chatbot

A normal chatbot usually answers questions.

An AI agent goes further. It usually includes:

Module	Role
Role definition	Defines who it is, whom it serves, and what it should not do
Prompt instructions	Controls tone, boundaries, and process
Knowledge base	Lets it answer based on your documents, FAQ, or product materials
Workflow	Lets it complete multi-step tasks
Plugins	Lets it call external tools such as search, APIs, or forms
Publishing channels	Lets users access it through links, websites, or apps
Testing and iteration	Improves answers based on real user questions

So building an agent is not just writing one prompt. It is designing a small business workflow.

3. What Should Beginners Build First?

Beginners should start with a simple, low-risk, information-oriented agent.

Agent type	Example	Recommendation
Customer support FAQ assistant	Presales, after-sales, pricing, usage help	High
Course advisor	Course overview, target users, signup process	High
Resume improvement assistant	Give resume suggestions based on a JD	High
Product documentation assistant	Explain features, plans, and steps	High
Content idea assistant	Generate titles, outlines, and SEO keywords	High
Event registration assistant	Time, location, fee, signup method	Medium-high
Complex enterprise approval system	Multi-system, multi-role, multi-permission workflow	Low for a first project
Automated financial/medical/legal decision agent	High-risk decision making	Not recommended for beginners

The best first project is usually:

A customer support FAQ assistant or a personal knowledge base Q&A assistant.

These agents have clear boundaries, easy-to-prepare materials, and simple testing.

4. Tutorial Goal: Build an AI Tool Site Support Agent

This tutorial uses a simple example:

A visitor comes to your AI tool directory/review website and asks: “What does this site do? Which AI tools do you recommend? Can I submit an article? How do we discuss business cooperation?” The agent answers based on your materials and refers uncertain questions to a human.

The final agent should be able to:

Explain the website positioning;
Answer common questions;
Recommend relevant sections based on user needs;
Provide contact guidance;
Avoid making up answers;
Respond in a clear and professional tone;
Be shared through a link or embedded on a website.

5. Test Tasks and Scoring Criteria

Test Tasks

Task	What to do	Goal
Task 1	Create an Agent	Configure name, avatar, introduction, and role
Task 2	Write prompt instructions	Define tone, boundaries, and refusal rules
Task 3	Add knowledge base	Upload FAQ, site intro, and section descriptions
Task 4	Configure workflow	Build simple routing and recommendation logic
Task 5	Test Q&A	Ask real questions and evaluate accuracy
Task 6	Publish and share	Generate a link or website access path
Task 7	Iterate	Improve knowledge base and prompt based on wrong answers

Scoring Criteria

Total score: 100 points.

Dimension	Weight	What it measures
No-code onboarding	20	Can non-coders build it?
Knowledge base Q&A	20	Can it answer reliably from uploaded materials?
Prompt controllability	15	Can tone, scope, and rules be controlled?
Workflow capability	15	Can it handle multi-step tasks?
Plugin extension	10	Can it call external capabilities?
Publishing convenience	10	Is it easy to share or launch?
Cost and limits	10	Are credits, usage, and limits understandable?

6. Test Results

Module	Performance	Score
No-code Agent creation	Clear interface, beginner-friendly templates and natural-language starting points	95/100
Prompt setup	Good role, tone, and rule control	88/100
Knowledge base Q&A	Strong for FAQ, documentation, and product-description scenarios	90/100
Workflow / Chatflow	Visual nodes are useful, but beginners must understand node logic	86/100
Plugins	Extend external capabilities, but configuration and cost need attention	84/100
Publishing and sharing	Good for demos and lightweight app publishing	82/100
Complex enterprise systems	Requires permissions, databases, APIs, security, and monitoring	72/100

Overall Score: 86 / 100

Verdict:

Coze is very suitable for building a first AI agent demo, but a production business system still needs permissions, data security, logs, human fallback, and cost control.

7. Step 1: Create Your First Agent

After entering Coze, start by creating an Agent or Bot.

Recommended fields:

Field	Example
Name	Zyentor Picks AI Tool Site Assistant
Introduction	Helps users understand AI tool reviews, tutorials, submissions, and business cooperation
Avatar	Website logo or simple bot icon
Target users	AI tool users, creators, developers
Core task	Answer site-related questions, recommend content sections, and guide users to contact support

Do not start with an “all-purpose assistant.”

Limit the scope:

Only answer questions related to this website, AI tool recommendations, article submissions, business cooperation, and usage guides.

A clear scope makes the agent more stable and easier to test.

8. Step 2: Write the Agent Prompt

The prompt is the agent’s job description.

Base prompt template

You are “Zyentor Picks AI Tool Site Assistant.” Your job is to help users understand this website, AI tool recommendations, article submissions, and business cooperation.

Response rules:
1. Be concise, clear, and friendly;
2. Answer based on the knowledge base first;
3. If the knowledge base does not contain the answer, do not invent one;
4. For uncertain questions, say: “This question needs human confirmation”;
5. Do not provide medical, legal, or financial investment advice;
6. Do not promise any service not explicitly stated by the website;
7. Recommend relevant sections based on user needs, such as AI tool reviews, AI tutorials, AI app practice, and AI resources;
8. End with a useful next step when appropriate, but do not oversell.

Prompt principles

Principle	Meaning
Define identity	Who the agent is and who it represents
Define scope	What it can and cannot answer
Define source	Prioritize knowledge base content
Define refusal	Say when it does not know
Define tone	Professional, friendly, concise
Define next step	Guide users to articles, forms, or human support

9. Step 3: Prepare Knowledge Base Materials

The knowledge base determines whether the agent can answer your own business questions.

Five useful document types

Document	Content
Website introduction	Positioning, target users, content categories
FAQ	Common questions and standard answers
Section descriptions	What each section is for
Cooperation information	Submission rules, business cooperation, contact method
Recommendation policy	Tool recommendation standards and disclaimers

FAQ example

# Zyentor Picks FAQ

## 1. What is Zyentor Picks?
Zyentor Picks is an AI tool recommendation and usage guide website for everyday users and creators. It provides AI tool reviews, tutorials, comparisons, resource collections, and practical case studies.

## 2. Who is this website for?
It is for everyday users, creators, developers, operators, students, and freelancers who want to use AI to improve productivity.

## 3. Do you accept submissions?
Yes. Submissions should be related to AI tools, AI applications, AI tutorials, or AI tool reviews.

## 4. Do you accept business cooperation?
Yes. Cooperation may include tool reviews, brand exposure, resource promotion, and co-created content.

## 5. What if the AI assistant cannot answer my question?
Please contact human support or submit your question through the website contact channel.

Knowledge base setup tips

Use clear document titles;
Avoid overly long documents;
Write FAQ in question-and-answer format;
Do not upload outdated prices or wrong contact information;
Update documents regularly;
Write standard answers for important topics.

10. Step 4: Test Basic Q&A

After uploading the knowledge base, test before publishing.

Test questions

Question	Expected behavior
What does this website do?	Answer based on the site introduction
I am a student. What content should I read?	Recommend student-friendly sections
Can I submit an article?	Answer based on FAQ
How can we discuss business cooperation?	Provide cooperation guidance
Are you an official agent of these tools?	Do not invent if not stated
Can you recommend the cheapest AI tool?	Give general advice, avoid absolute claims
Can you guarantee this tool will work well?	Say no guarantee; suggest trial and official verification

What a good agent does

Answers accurately when the knowledge exists;
Does not invent when the knowledge is missing;
Keeps responses concise;
Does not overpromise;
Does not pretend to be a human agent;
Guides the user to the next step.

11. Step 5: Add Workflow / Chatflow

If your agent only answers FAQ, the knowledge base may be enough.

If you want it to handle a process, add Workflow or Chatflow.

Coze documentation explains that a Workflow completes a function by sequentially executing nodes. Chatflow is a specialized workflow for conversational scenarios.

Example: content recommendation workflow

User input:

I want to learn AI tools, but I am a beginner. Where should I start?

Workflow logic:

Detect user type: beginner / developer / operator / student;
Detect goal: learning / writing / images / video / coding;
Match content category;
Recommend three articles;
Ask whether the user wants a beginner roadmap.

Example nodes

Node	Role
Start	Receives user input
LLM node	Classifies user type and goal
Knowledge node	Searches section materials
Condition node	Routes based on user type
Answer node	Outputs recommendations

Beginners should start with simple workflows, not complex branching systems.

12. Step 6: Use Plugins to Extend Capabilities

Plugins let the agent call external tools.

Coze documentation says the Plugin Node is used to invoke tools in a workflow. A plugin may include one or more invokable tools. Coze also explains that charged official plugins may deduct credits based on calls when used in a workflow, agent, or app.

Beginner-friendly plugin directions:

Plugin capability	Example
Search	Query public information
Spreadsheet	Record user feedback
Email / form	Collect consultation requests
Web scraping	Read public web pages
Data API	Query orders, inventory, or courses

Plugin tips

Do not let plugins make high-risk decisions;
Do not expose sensitive data to untrusted plugins;
Watch credit usage;
Test failure cases;
Tell users when a result needs human confirmation.

13. Step 7: Publish Your Agent

After testing, publish or share it.

Common methods:

Method	Best for
Share link	Demos, friends, internal testing
Embed on website	Tool sites, company websites, course pages
API integration	Your own apps or business systems
Platform distribution	Wider public use

Before launch, check:

Whether the prompt contains internal information;
Whether the knowledge base includes private data;
Whether contact information is correct;
Whether prices or policies are outdated;
Whether plugins may incur extra charges;
Whether there is human fallback;
Whether users are told AI answers are for reference only.

14. Common Mistakes

14.1 Building an all-purpose assistant first

Bad:

You are an all-knowing assistant.

Better:

You are a customer support assistant for this website. You only answer questions about site content, sections, submissions, and cooperation.

14.2 Not uploading a knowledge base

Without a knowledge base, the model may improvise and hallucinate.

14.3 Writing messy FAQ

Use structured Q&A, not long unstructured text.

14.4 No refusal rule

Always define what the agent should say when it does not know.

14.5 No pre-launch testing

Test with at least 20 real questions before publishing.

14.6 Ignoring costs

Free credits are good for demos. Once users arrive, track credits, plugin charges, and call volume.

14.7 No human fallback

An AI agent should not be the only support channel for complex cases.

15. Upgrade Path from Demo to Real Product

Stage 1: FAQ assistant

Capabilities:

Answer common questions;
Explain product or service information;
Guide users to materials.

Stage 2: Knowledge base assistant

Capabilities:

Retrieve documents;
Explain tutorials;
Recommend articles;
Provide step-by-step guidance.

Stage 3: Process assistant

Capabilities:

Collect user needs;
Identify user type;
Recommend solutions;
Generate form records.

Stage 4: Business agent

Capabilities:

Call APIs;
Query business data;
Create tickets;
Trigger notifications;
Connect to CRM, spreadsheets, or databases.

Beginners should finish Stage 1 and Stage 2 before moving into Stage 4.

16. Copyable Agent Templates

Template 1: Customer support FAQ assistant

You are a product customer support assistant. You may only answer based on the knowledge base.
If the knowledge base does not contain the answer, tell the user that human support needs to confirm.
Be concise and polite. Do not invent prices, policies, promises, or after-sales rules.

Template 2: Course advisor

You are a course advisor assistant. Help users understand the target audience, learning path, course content, signup method, and FAQ.
You must not promise learning outcomes, employment, or income.

Template 3: Resume improvement assistant

You are a resume coach. Give suggestions based on the user's resume and target job description.
Do not invent education, companies, projects, metrics, or certificates.
Use [to be added] when data is missing.

Template 4: AI tool recommendation assistant

You are an AI tool recommendation assistant. Recommend tools based on the user's goal, budget, language, device, and scenario.
Do not claim any tool is absolutely the best. Explain use cases and alternatives.

17. Final Verdict

Coze is valuable not because it lets you create “a bot that can chat,” but because it lets ordinary users create AI agents for specific business scenarios.

A good first Coze agent should be built like this:

Choose a clear and limited scenario;
Write a role prompt;
Prepare FAQ and documents;
Build the knowledge base;
Test with real questions;
Add a simple workflow;
Use plugins carefully;
Check costs, privacy, and human fallback before launch.

Final recommendation:

Beginners should not try to build a complex agent first. Start with a Coze FAQ assistant that can reliably answer 30 common questions, then gradually upgrade it into a knowledge base assistant, workflow assistant, and plugin-powered business agent.

18. SEO Information

SEO title: How to Build Your First AI Agent with Coze: A No-Code Beginner Guide

SEO description: This beginner guide explains how to build a no-code AI agent with Coze, covering Agent creation, prompt setup, knowledge base, Workflow / Chatflow, Plugins, testing, publishing, pricing, and common mistakes.

Keywords: Coze, Coze AI agent, AI Agent, no-code AI agent, Coze tutorial, Coze knowledge base, Coze Workflow, Coze Chatflow, Coze Plugin, AI customer support bot

19. Data Sources and References

Coze official website: AI agent and AI app development platform introduction.

https://www.coze.com/
Coze Premium Pricing: Free, Premium Lite, Premium, Premium Plus plans and credits.

https://www.coze.com/premium
Coze Workflow and Chatflow documentation: Workflow executes nodes sequentially to complete a function; Chatflow is a specialized workflow for conversation scenarios.

https://www.coze.com/open/docs/guides/workflow_and_chatflow
Coze Knowledge Base Overview: knowledge base supports uploading and storing external knowledge with retrieval capabilities.

https://www.coze.com/open/docs/guides/knowledge_overview
Coze Plugin Node documentation: Plugin Node invokes plugin tools in a workflow.

https://www.coze.com/open/docs/guides/plugin_node
Coze Credits documentation: charged official plugins may deduct credits based on plugin calls.

https://www.coze.com/open/docs/guides/message_credits

Publish-ready Summary

This article is a beginner-friendly no-code tutorial for building a first AI agent with Coze. It explains what Coze is, how AI agents differ from ordinary chatbots, and uses an “AI tool site support assistant” as a practical example. The guide walks through creating an Agent, writing prompt instructions, uploading a knowledge base, configuring Workflow / Chatflow, using Plugins, testing answers, publishing the agent, and controlling costs. The final recommendation is to start with a bounded FAQ assistant, then gradually upgrade it into a knowledge base assistant, workflow assistant, and plugin-powered business agent.

Originally published on Zyentor Picks — Find the Right AI Tool, Faster.