Objectives: Understand what your assistant will do.
🎯 Objectives: Understand What Your Assistant Will Do
Before you write a single line of code or pick a model, you need to define what role your AI assistant will play. The objectives will guide your design choices, dataset, fine-tuning strategy, and deployment.
✅ Key Questions to Answer
Who is the assistant for?
A developer? A student? A customer? A hobby user?
What is its main job?
For example:
Answer factual questions?
Help write or edit text?
Summarize documents?
Provide recommendations?
Engage in casual conversation?
What are the limits?
Should it avoid personal advice or financial/medical topics?
Will it answer only from a given knowledge base (RAG) or be more general?
How will it communicate?
Text-only? With images? Via voice? Multilingual?
How private and secure should it be?
Will it store conversation history? Should it run only locally or use cloud APIs?
📌 Example Use Case
Goal: Build a lightweight open-source “Study Buddy” chatbot that:
Answers simple questions about Python programming.
Explains concepts with short code examples.
Stays within beginner-level knowledge.
Has a simple web UI so students can chat with it from any browser.
Does not store or share chat logs.
🔑 Outcome of This Step
After completing this part, you should:
Write 1–2 sentences describing your assistant’s purpose.
Draft key features in a bullet list.
Note any ethical boundaries (e.g., no harmful or unsafe content).
Example:
“My AI Assistant helps beginner Python learners understand syntax, concepts, and short examples. It gives answers only about Python basics, does not answer non-programming questions, and runs fully on open-source models hosted by me.”
➡️ Next: Once your goal is clear, you’ll be ready to choose the right model and tools in the next chapter.
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