Opal AI Prompt Generator: Turn Ideas into Opal‑Ready Workflows

The Opal AI Prompt Generator helps you translate messy ideas into clear, structured natural language prompts that Google’s experimental Opal AI mini‑app builder can understand.

You describe the mini‑app you want in simple terms—what it should take as input, what you want it to do, and what the final output should look like. The generator then crafts a workflow‑style Opal prompt that tells Opal exactly how to turn that idea into a sequence of AI blocks (nodes).

What This Tool Is Built For

This generator is designed around how Google Opal actually works:

• No‑code mini‑apps: Opal converts natural language into visual workflows.
• Node‑based logic: Each app is a chain of steps: input → process → output.
• Simple internal tools: Great for summaries, small reports, content drafts, and personal productivity.
• Rapid prototypes: Not full production apps—just fast, useful automations.

How the Opal AI Prompt Generator Works

1. Describe Your Mini‑App Idea in Plain Language
   For example:
   • “I want something that reads my weekly notes and gives me a short summary and to‑do list.”
   • “I need an internal tool to turn customer emails into support ticket summaries.”
   • “Create a simple content helper that turns a topic into a blog outline and a draft intro.”
2. We Extract Inputs, Steps, and Outputs
   The generator analyzes your idea and identifies:
   • Inputs: What you give Opal (text, topic, pasted email, etc.).
   • Processing steps: Summarize, categorize, extract tasks, draft content, etc.
   • Outputs: Bulleted lists, summaries, email drafts, simple reports.
3. We Draft a Structured Opal Prompt
   The output is a ready‑to‑paste Opal prompt like:
   • “Create a mini‑app that takes X as input, then does A → B → C, and finally outputs Y.”
   It’s written for non‑technical users, focusing on what the workflow should do, not how to code it.
4. You Paste It into Opal
   Opal uses the prompt to generate an initial visual workflow with blocks/nodes for each step.
5. Then Refine in Opal
   After Opal builds the first version, you can:
   • Reword instructions directly in the visual blocks.
   • Adjust steps (e.g., change the summary length or tone).
   • Add or remove simple steps using Opal’s editor or another natural language command.

What a Good Opal Prompt Looks Like

Opal works best when your prompt is sequence‑based and specific. The generator helps you produce prompts that:

• Clearly name the input (e.g., “a pasted customer email”).
• Describe each processing step in order (“first summarize, then extract tasks”).
• Define the final output format (“output a bulleted list plus a draft reply”).
• Stay within Opal’s realistic scope (no complex external systems or heavy integrations).

Example: From Idea to Opal‑Ready Prompt

Your Idea (what you type):

“I want a simple internal tool that takes a long customer complaint email, summarizes the main issues, and then suggests a polite reply I can send.”

Generated Opal Prompt:

Opal Prompt:
"Create a mini-app that helps me handle customer complaint emails.

Input:
- A single pasted customer complaint email as plain text.

Workflow:
1. Read the full email.
2. Summarize the email into 3–5 bullet points that clearly describe the main issues or concerns.
3. Identify any specific requests, promises, or deadlines mentioned by the customer.
4. Based on the summary and identified requests, draft a polite, empathetic reply email.
   - The tone should be calm, professional, and understanding.
   - Acknowledge the customer's frustration.
   - Briefly restate the main issues.
   - Outline next steps or how we plan to address the problem.

Output:
- A short bullet-point summary of the complaint.
- A draft email reply that I can copy, review, and send manually."

Why This Works in Opal

• Input: Clearly specified as “a pasted email.”
• Process: Two main AI tasks: summarize → extract details → draft reply.
• Output: A simple summary + draft email, both text‑based and manageable in Opal.

Best Use Cases for Opal AI Prompt Generator

• Meeting & note helpers: Summaries, action items, recap emails.
• Content helpers: Topic → outline → draft intros or social posts.
• Support & operations: Turn emails or tickets into summaries and standard replies.
• Internal reports: Take pasted text/data and produce brief, human‑readable reports.
• Personal productivity: Daily planners, recap tools, simple checklists from notes.

What This Generator Will NOT Do

Because it’s grounded in how Opal works, the generator intentionally avoids:

• Designing full production apps with complex UIs, logins, or dashboards.
• Prompts that rely on deep, custom integrations with external APIs or internal systems.
• High‑traffic, mission‑critical workflows that need strict reliability and governance.
• Anything that sounds like a complete SaaS product rather than a prototype mini‑app.

Tips for Writing a Strong Opal Prompt (and How This Tool Helps)

• Think in steps: “First do X, then Y, then Z.”
• Name your input: Transcript, email, notes, topic, short description, etc.
• Describe the output: Bullets, paragraph summary, draft email, short report.
• Stay realistic: Keep the workflow focused on text‑based AI tasks.
• Plan to refine: Use the first version Opal builds as a draft you can improve visually.

Considerations When Using Opal (Built Into the Generator’s Logic)

• Opal is experimental and may be unstable—treat your mini‑apps as prototypes, not production tools.
• External integrations are limited—assume you will paste data in and copy results out.
• Be mindful of sensitive data—avoid feeding confidential or regulated information.
• If an idea is too complex, the generator will suggest a simpler, scoped‑down version that Opal can handle.

How to Refine Your Mini‑App After Using the Generator

Once you paste the generated prompt into Opal and it builds the initial workflow, you can:

• Rename steps and blocks to match your internal language (e.g., “Client Summary” instead of “Summary”).
• Adjust instructions inside each step (shorter summaries, different tone, more or fewer bullets).
• Add simple extra steps like “translate the final output into Spanish” or “shorten the summary to 2 bullets.”
• Iterate via chat with Opal: tell it how to modify or extend the existing workflow.