From Prompt to Shareable Link: My TRAE Work Walkthrough for Live Training HTML

I needed to create a training page for an internal live‑streaming workshop at DataFun, covering topics such as streaming basics, video‑channel operations, OBS push‑streaming, GooseLive, cover design, equipment checklists, and two real‑world case studies.

01 Introduction

Traditional PPT or document formats were too cumbersome for step‑by‑step instructions. When TRAE Work upgraded its HTML generation capability, I decided to try generating the entire course with a single prompt.

02 Content Planning

Before prompting the AI, I spent about 20 minutes structuring the seven chapters and defining the target audience (internal staff and future live‑stream presenters). The chapter list included:

Live streaming fundamentals (push vs pull)

Video‑channel live‑stream workflow

OBS Studio push‑stream process

GooseLive operation

Cover and background‑frame design

Pre‑broadcast equipment checklist

Case studies (simple and complex)

03 TRAE Work Generation

I opened a new HTML project in TRAE Work and fed a structured prompt that enumerated the seven chapters, the desired single‑page scroll layout, left‑hand anchor navigation, and visual style (white background, deep‑blue headings). After clicking “Generate”, the first version appeared in about nine minutes.

The initial output correctly created all seven sections, auto‑generated the anchor navigation, and applied a clean style, but it lacked concrete push‑pull examples and some steps were overly terse.

04 AI‑Assisted Editing + Manual Tweaks

Using TRAE Work’s “select‑area edit” feature, I added missing push‑pull code examples, refined step lists, and corrected a stray 2025 year reference to 2026. For bulk changes I selected multiple problematic areas and submitted ten comments at once, dramatically speeding up the revision process.

For the case‑study chapter, I instructed the AI to replace plain text with a visual flow‑chart composed of card blocks linked by arrows, making the signal‑flow path instantly understandable.

05 One‑Click Sharing

After finalizing the page, I clicked the “Share” button, which generated a public URL. The link was shared with the training team, allowing anyone to view the page instantly on desktop or mobile without downloading or installing anything.

Feedback highlighted three benefits: zero‑install access, automatic content updates, and responsive mobile layout that re‑flows card chains vertically.

06 Key Takeaways

Prompt engineering must be structured rather than vague; specifying modules, step‑list format, and visual requirements yields higher fidelity.

For complex tutorials, generate an outline first, then flesh out each module to catch logical gaps early.

Visualizing process flows (cards + arrows) is far more effective than pure text for comprehension.

AI accelerates the “rough‑draft” phase (0 → 60 % in minutes); human refinement completes the final polish (60 → 90 %).

Structured, logic‑driven content is ideal for AI generation, whereas highly creative or brand‑specific designs still need human templates.

Overall, AI reduced the manual effort from roughly two hours to about twenty minutes, proving that AI can serve as a powerful “construction crew” for tutorial‑style pages while the author remains the designer.