Classroom Explanation
In this lesson, Prompt Templates and Input Validation: Document privacy, cost, and release limits sits inside the module Prompt Templates and Input Validation. A generative AI app is software around a model. The app must control inputs, outputs, tools, errors, cost, privacy, and review. We will move slowly: name the job, name the inputs, make the output inspectable, check one failure mode, and write a limitation before moving on.
Think of this as a classroom habit. First, name the work in plain English. Then name the evidence you need. Then name the action or decision the result will support. This keeps the lesson grounded. It also prevents the common mistake of letting a tool, chart, model, or AI output look more certain than it really is.
Step-by-Step
- Say the purpose of this step in one sentence.
- Name the input: data, context, examples, files, or assumptions.
- Name the output: table, chart, model result, prompt, report section, or decision note.
- Add one check that would catch a weak or unsafe result.
- Write one limitation before moving to the next step.
Practical Example
Imagine you are working on Prompt Templates and Input Validation. The beginner mistake is to jump straight into the tool. A better move is to pause and ask: What exactly am I trying to learn or produce? What would make the answer wrong? What should a reviewer be able to check?
from pydantic import BaseModel
class ReviewRequest(BaseModel):
task: str
draft: str
def mock_model(request: ReviewRequest) -> dict:
return {
"summary": "The draft is understandable.",
"risk": "No sources were provided.",
"next_step": "Ask for evidence before publishing.",
}
Common Mistake
The common mistake is treating the visible output as the final answer. A table may be incomplete. A chart may hide scale or sample-size problems. A trained model may fit noise. An AI-generated workflow may sound polished while missing a key constraint. Your job is to check the work before accepting it.
What To Do Now
Create a short note with three lines:
- What I did: the concrete step you completed.
- What I checked: the evidence or review rule you used.
- What I will not claim: the limit that keeps the work honest.
