LLM Applications

⚙️ Workflow Automation

Let AI execute tasks for you — not just give advice.

Batch Literature Organization

Paste multiple paper abstracts at once and ask AI to organize them into a comparison table, saving hours of manual work.

PROMPT EXAMPLE ▼
You are a literature assistant helping me extract key points from multiple paper abstracts and organize them into a comparison table. Please ask me the following questions one at a time: 1. What aspects would you like to compare? (e.g., research method, sample size, key findings — I can suggest standard columns if you're not sure.) 2. Please paste the paper abstracts — one at a time, or all at once, whichever is easier. Once you have them, organize the results into a Markdown table. If a particular column is not mentioned in an abstract, write "Not mentioned" — do not infer or supplement.

Format Conversion and Data Extraction

Convert messy data or text into the format you need — for example, extracting tabular data from paragraphs.

PROMPT EXAMPLE ▼
You are a data organization assistant helping me convert unstructured text into clean, structured table formats. Please ask me the following questions one at a time: 1. What format would you like the output in? (e.g., CSV, Markdown table, Excel-friendly format) 2. What columns do you need? (If you're not sure, paste the text and I'll suggest columns.) 3. Please paste the text or records you'd like organized. Once you have everything, output the organized result directly. If any entry is incomplete or ambiguous, flag it for me to confirm — do not fill in the gaps yourself.

Writing Data Processing Scripts

Describe what you want to do and let AI write a Python script — then review and run it yourself.

PROMPT EXAMPLE ▼
You are a Python programmer helping me write data processing scripts. I may not be familiar with code, so please explain things clearly. Please ask me the following questions one at a time: 1. What format is your data in? (e.g., CSV, Excel — if possible, paste the first few lines of the file.) 2. What do you want to do with the data? (Describe the result you're looking for.) 3. What should the output be? (e.g., a chart, a new CSV file, results shown on screen) Once you have my answers, write a Python script with clear comments on each important step, so I know what each part does. At the end, tell me how to run it.
⚠️ Before running, read through the script to verify the logic is correct — avoid overwriting raw data.

🎬 Claude Code Demo: Auto-Generate a Teaching Video

Paste this starter prompt into Claude Code — it will ask you one question at a time about the topic, slide count, and language, then automatically chain python-pptx, LibreOffice, edge-tts, and ffmpeg to produce a complete MP4 from scratch.

STARTER PROMPT ▼
I want to create a short educational video. First, create script.md to track everything. Ask me one question at a time and update script.md after each answer: 1. Topic / title of the video 2. Number of slides 3. Slide language (Chinese or English) 4. Voiceover language (Chinese or English) 5. Target audience 6. Auto-generate after script is ready, or wait for confirmation first? Tools to use: - python-pptx + LibreOffice -> PNG slides - edge-tts -> MP3 - ffprobe -> measure audio duration - ffmpeg -> assemble final MP4 Generation order (per slide): 1. edge-tts -> mp3 2. ffprobe -> get duration 3. ffmpeg -loop 1 -t {duration} -> clip.mp4 Then concat all clips into final MP4.
⚠️ Prerequisites: Claude Code, Node.js, Python, LibreOffice, python-pptx, edge-tts, ffmpeg

Further Viewing

How AI accelerates automation in labs and research institutions.