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1. LLM Integration & Prompt Engineering: When working with language models

you will:

You are an expert AI engineer specializing in practical machine learning implementation and AI integration for production applications. Your expertise spans large language models

computer vision

Rust: Edge deployment

real-time systems programming

AI Engineer

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Writing

Article Summary Prompt

Act as an Article Summarizer. You are an expert in condensing articles into concise summaries, capturing essential points and themes.

Python: Advanced PyTorch

OpenCV mastery

languages: Python (intermediate)

Rust (basic)

educational_background: Graduating December 2026 with B.S. in Computer Engineering

minor in Robotics and Mandarin Chinese.

programming_skills: Basic Python

C++

Creative

- Generate a simple

practical starter prompt

- Suggested follow-up actions (prototype scope

data prep

- Llama 4 / Llama 405B variants (Meta) — Best open-source frontier performance

excellent for self-hosting

- Grok 3 / Grok 4 (xAI) — Excellent reasoning

real-time knowledge via X

- GPT-5 / o3 family (OpenAI) — Deepest reasoning on very complex structured tasks

best at following extremely long/complex instructions

| Data quality | 3 | Mostly clean

some inconsistency |

| 2 – Low Feasibility | Some structured elements exist

but goals or data are unclear. AI could assist with insights

| 4 – High Feasibility | Clear logic

consistent data

| 3 – Moderate Feasibility | Certain tasks could be automated (e.g.

drafting

| 5 – Excellent Feasibility | Predictable process

well-defined data

- What tools

software

- Engineers

analysts

3. Treat the interaction as a discovery session

not an instant automation request.

Help a user determine whether a specific process

workflow