PromptForge Workflow Guide

This PromptForge guide walks you step-by-step through the prompt engineering workflow, showing you how to compose, optimize, and evaluate prompts in a way that improves AEO (Answer Engine Optimization)and overall LLM prompt performance.

1. How to Compose Prompts in PromptForge

Quick Answer: You compose prompts in PromptForge using either an AI-assisted generator or the Manual Composer to stack reusable Persona, Task, and Style templates.

The Dashboard gives you two ways to build a complete prompt:

What is AI-Assisted Template Creation?

What it is: A tool that uses AI to help you create new, high-quality templates and prompts.

How it Works: Enter a goal and the AI generates a Persona, Task, and Prompt. Save the Persona and Task.

Learn more about the AI-Assisted Composer →

How does Manual Prompt Composition work?

What it is: A step-by-step builder for assembling prompts using reusable components.

How to Use it:
  1. Select Persona, Task, and Style templates.
  2. Add any extra instructions.
  3. Run & Test your combined prompt.
Explore the Manual Prompt Composer workflow →

What is the Template Library?

What it is: Your toolbox for reusable templates.

Store Personas, Tasks, and Styles so you don’t need to rebuild them.

Manage your reusable prompt templates →

2. How to Optimize Your Prompts

Quick Answer: Optimize prompts using the Prompt Clinic, which scores your prompt and suggests improvements.

These tools help refine clarity, structure, and effectiveness.

What does the Prompt Clinic evaluate?

What it is: A diagnostic tool for analyzing prompts.

How it Works:
  • Clarity: Is the prompt easily understood?
  • Specificity: Is the goal well-defined?
  • Constraints: Are rules and limits explicit?

Auto-Optimize:

The Clinic generates a cleaner, stronger version of your prompt.

View full Prompt Clinic examples →

3. How to Evaluate Your Prompts

Quick Answer: Evaluate prompts using A/B testing in the Sandbox or by comparing outputs across LLMs with Benchmark.

Testing removes guesswork and validates prompt quality.

How does A/B testing work in the Sandbox?

Use this to answer: “Is my new prompt better?”

Compare two prompts with identical inputs and evaluate which performs better.

Try Sandbox A/B testing →