Mastering AI-Powered Content Creation: A Complete TraeWork Workflow Tutorial

Introduction

Creating high-quality AI content doesn't have to be complicated. With TraeWork, you can handle the entire process from research to final production in a single platform. This guide walks you through every step, using the example of creating a video about "5 Worth-Recommending AI Open Source Projects."

Step 1: Project Planning & Research in Work Mode

The process starts with the Work mode, designed for professional office tasks like research and analysis.

1. Enter Work Mode: Click the "Work" tab in the top-left corner.
2. Define Your Goal: Input your task clearly. For our example, use this prompt:

I want to create a video titled "5 Worth-Recommending AI Open Source Projects."
Please research recent AI open source projects on GitHub Trending, focusing on projects that have emerged recently or have been active in the past 90 days.
Summarize 20-30 candidate projects, including project name, GitHub link, category, core use case, star count, latest update, release date, project activity, key highlights, known issues, and information sources.

3. Wait for Results: TraeWork will use its research and data processing skills to search the web, read project files, and compile a detailed list of candidates.

Step 2: Project Ranking & Selection

Once you have the candidate list, use Work mode again to rank the projects:

1. Submit Ranking Request: Use this prompt to evaluate the candidates:

Please rank these 20 candidate projects based on practical value, project activity, innovation, audience appeal, video presentation effectiveness, and project uniqueness.
Include scores for each dimension, an overall ranking, recommendations, and main risks.

2. Select Final Projects: From the ranked list, choose the top 5 projects that best fit your video theme.

Step 3: Sync to Feishu Document

TraeWork integrates with Feishu to keep your work organized:

1. Open Plugin Market: Click "Plugin Market" in the left sidebar.
2. Add Feishu Plugin: Find and add the Feishu plugin.
3. Sync Data: In the chat box, click the Feishu icon and use this prompt:

Please verify the final 5 projects, organize their core functions, recommendations, use cases, limitations, and official sources, and create a clear video outline in a new Feishu document.

Step 4: Visual Design in Design Mode

Now move to Design mode to create visual assets for your video:

1. Enter Design Mode: Click the "Design" tab.
2. Generate Visual Concepts: Use this prompt to create design options:

Read the Feishu document with the video outline and 5 project details.
Design a unified visual system for the video "5 Worth-Recommending AI Open Source Projects."
The 5 projects and their themes are:
- Agent Reach: Agent Networking
- Reasonix: AI Programming
- SkillSpector: Agent Security
- Headroom: Context Compression
- DeepTutor: AI Education
Provide 3 distinct visual directions, including:
1. Video main cover
2. Introduction cards for the 5 projects
3. Video section pages
Visual requirements:
- Rich colors
- Large, clear title text (no compression)
- Reserve space for the host in the bottom-left of the main cover
- Consistent style with unique elements for each project
- Main cover text: "5 GitHub AI Open Source Projects"

3. Choose Design: Select your preferred design direction and have TraeWork add the design specifications to your Feishu document.

Step 5: Create Interactive Video Materials in Code Mode

Use Code mode to generate dynamic video materials:

1. Enter Code Mode: Click the "Code" tab.
2. Generate Interactive Demo: Use this prompt to create your video materials:

Read the Feishu project document.
Based on the confirmed video outline, 5 project details, and design specifications, create an interactive web demo suitable for screen recording.
The pages should include:
- Opening overview page
- Pages for each of the 5 projects
- Summary page
Requirements:
- Follow the design specifications for fonts, colors, and layout
- Support mouse clicks and keyboard navigation between sections
- Animate titles, project cards, and key information in sequence
- Clean, professional animations without excessive effects
- All text and visual elements must be accurate
- Page resolution: 1920x1080

3. Use the Output: The generated HTML demo maintains your design style and includes all the information from your research, ready for screen recording.

Step 6: Generate Video Cover with Seedream AI

Create eye-catching video covers using the Seedream AI image generation feature:

1. Access Seedream: Go to the Plugin Market, click "Skills," search for "seed," and add the Seedream image generation skill.
2. Generate Covers: Use this prompt (you can also upload a reference photo):

Generate 3-4 video covers for the topic "5 Worth-Recommending GitHub AI Open Source Projects."
Requirements:
1. Character consistency: Ensure the person in the image has the same face, glasses, hairstyle, clothing, and age.
2. Host expression: Expressive body language, hand gestures, wide-angle shot, close-up.
3. Main title: Large, bold, high-contrast text (6-10 characters, title takes up ~40% of the visual width).
4. Visual focus: One main focus point (face/main title/foreground elements/comparison cards), other elements serve it.
5. Information hierarchy: Clear sections (original/edited image, main title, scene, poster/thumbnail, foreground elements, host information, background, negative space).
6. Color scheme: Black, white, yellow, red with small red/blue accents. High contrast, strong visual impact.
7. Restrictions: No messy code, logos, watermarks, extra text, distorted characters, empty background, or randomly floating elements.

3. Finalize: Select the best cover, make minor text adjustments if needed, and you're ready to record your video.

Step 7: Automate Future Tasks

To stay updated on new AI projects without manual work:

1. Create Automation Task: Click "Automation" in the left sidebar.
2. Configure Task: Create a new task with these settings:

• Task name: "Weekly GitHub AI Open Source Project Monitoring"
• Schedule: Weekly at 08:00
• Task description:

Research new or trending AI open source projects on GitHub from the past week.
Focus on practical value, innovation, activity, audience appeal, and video presentation effectiveness.
Exclude projects that haven't been updated recently or have no practical application.
Finally, select the 10 most noteworthy projects and rank them.

3. Activate: Save and activate the automation task to automatically track new AI projects.

Conclusion

TraeWork streamlines the entire AI content creation process, from initial research to final production. By following this workflow, you can efficiently create high-quality AI content that's both informative and visually appealing. The platform's integrated modes and AI capabilities make it accessible even for those without advanced technical skills, allowing you to focus on creating valuable content for your audience.

常见问题

What is TraeWork, and who is it for?

TraeWork is an all-in-one AI content creation platform that covers the full pipeline — research, project ranking, document syncing, visual design, interactive demos, and cover generation. It's built for content creators, YouTubers, and marketers who want to produce polished videos without juggling multiple tools. The workflow in this tutorial walks from researching GitHub Trending projects to recording a finished "top 5" video, all within one interface and its plugin ecosystem (Feishu, Seedream, and more).

Do I need design or coding skills to use this workflow?

No. The workflow is intentionally accessible to non-technical users. Design mode generates visual directions from a plain-language prompt, and Code mode produces the interactive HTML demo you screen-record — you don't write the code yourself. What you do provide is clear input: a well-defined research prompt, a design brief, and final choices on ranking, style, and covers. TraeWork handles the execution in each step.

How does the Feishu integration help the process?

Feishu documents act as the shared workspace between steps. Research results, the ranked shortlist, the video outline, design specifications, and project details all live in Feishu documents that TraeWork reads and writes as you move between modes. This keeps the information consistent — the Design and Code modes both read from the same document, so the visual style and the demo match the outline you confirmed in Step 3, instead of each step starting from scratch.

Can TraeWork really automate the research for recurring content?

Yes, and that's the point of Step 7. The Automation feature lets you schedule a recurring task — the example runs weekly at 08:00 and returns the 10 most noteworthy new AI open source projects, ranked by practical value, innovation, activity, and video appeal. This turns what used to be manual weekly research into a hands-off pipeline, so you always have fresh source material for your next video without doing the searching yourself.