Why You Keep Re-Typing the Same Prompts Every Week
You have a content workflow that works. It involves three chained prompts in Gemini: research a topic, draft a script, then rewrite for LinkedIn voice. You ran it last Monday. You will run it again this Monday. Each time, you copy and paste the prompts in from a Google Doc, edit the variables, and wait. The whole thing takes 12 minutes of pure copy-paste before any real thinking begins.
This is the workflow problem Opal was built to fix. Opal is Google's no-code app builder, now available directly inside the Gemini web app, and it turns a chain of prompts into a single button you press once.
This guide walks you through what Opal is, how it works, and how to build your first mini app in under 20 minutes, even if you have never written a line of code.
What Is Opal in Gemini?
Opal is Gemini's natural-language app builder that lets anyone chain prompts, model calls, and tools into a single reusable mini app. You describe what the app should do in plain English. Opal generates a visual workflow you can edit, save, and run again without rewriting your prompts each time. It lives inside your Gems manager and runs entirely in the Gemini web app, no installation required.
According to Google's launch coverage in May and June 2026, Opal sits inside the Gems manager as an experimental option. You open it, type a description of the task, and Opal turns that description into a connected sequence of steps that you can edit visually before saving.
The core idea: every step in your workflow becomes a node. Nodes connect into a graph. The graph runs as a mini app you can re-trigger anytime.
How Does Opal Compare to Custom Gems?
Custom Gems and Opal both let you reuse AI workflows, but they solve different problems. A Gem is a single configured chatbot with a fixed persona and instructions. Opal is a multi-step pipeline that chains several prompts and tool calls into one runnable app. Use a Gem when you want a specialist assistant. Use Opal when you want a process that runs end-to-end.
The practical difference shows up in repeat tasks. A Gem called "LinkedIn Writer" can help you draft posts in your voice, but you still need to ask it for research first, then ask it to draft, then ask it to rewrite. Opal collapses those three turns into one click.
Another way to read this: Gems are characters. Opal apps are workflows. A workflow can include several Gem-style steps stitched together.
How Do You Build Your First Opal App?
To build your first Opal app, open the Gemini web app, navigate to your Gems manager, and look for the Opal option. Click create, then describe the task in plain language. Opal generates a draft workflow with nodes for each step. Edit the nodes to refine prompts, connect inputs and outputs, then save. Run the app by clicking the saved entry from your Gems manager.
The fastest way to learn the tool is to rebuild a workflow you already do manually. Pick one weekly task you currently chain across multiple Gemini chats, then describe it to Opal.
---First app idea: a weekly newsletter digest builder that takes 5 URLs as input, summarises each, then writes a 200-word combined intro.
---Second app idea: a meeting prep pipeline that takes a calendar event title, pulls related context from a Doc, and outputs a one-page brief.
---Third app idea: a content repurposer that takes a long-form blog post and outputs LinkedIn, Threads, and X versions in one run.
What Does an Opal App Actually Look Like Inside?
An Opal app is a visual graph of connected nodes, where each node represents one model call, prompt, or tool action. You can rearrange nodes, edit the prompt inside each, change which model handles each step, and define what gets passed from one node to the next. Saving the graph stores the app permanently in your Gems manager for re-use.
Think of each node as a step in your manual process. If you currently open Gemini, ask question A, copy the answer into a new prompt, then ask question B, Opal lets you replace that with two connected nodes that pass output directly.
The visual nature matters. You can see the whole flow at once, spot redundant steps, and refactor without losing the logic.
Try This Prompt: Build a Weekly Content Digest in Opal
Here is a complete app description you can paste directly into Opal's create dialog. It builds a digest pipeline for content creators who curate weekly link round-ups.
Paste this into Opal create:
Build a workflow with three steps. Step 1 accepts a list of 3 to 5 URLs as input from the user. Step 2 fetches each URL and writes a 50-word summary for each, returning a numbered list. Step 3 takes the numbered list and writes a single 200-word newsletter introduction that mentions all the articles, written in a friendly conversational tone aimed at marketing professionals. The final output is the 200-word intro followed by the numbered summaries.
Run it once. Edit any node where the output feels off. The first time through, you will likely want to tighten the summary prompt or change the tone instructions. Save the version that works.
The whole build, from first paste to first usable output, takes roughly 15 minutes.
Where Does Opal Break Down?
Opal works well for linear, well-defined workflows but struggles with tasks that require deep judgment, real-time data, or complex branching logic. The model occasionally generates node connections that look right but pass the wrong field downstream. Always run a test pass with sample data before relying on a new app in production work.
The honest limitations worth knowing before you commit a workflow to Opal:
---Tasks requiring fresh web data work only if you include a search-capable node. Older Opal apps sometimes default to cached knowledge.
---Long context handoffs between nodes can lose information. If step 1 produces 3,000 words and step 2 needs to remember all of it, summarise between steps to keep context lean.
---Tone consistency across nodes is not automatic. Each node holds its own prompt, so brand voice instructions need to be repeated in every step where output is user-facing.
When Should You Reach for Opal Instead of a Gem?
Reach for Opal when a task involves three or more sequential prompts that you currently run by hand. Reach for a Gem when the task is conversational and exploratory. A rough rule: if you find yourself copying output from one chat into a new chat more than twice a week for the same task, you have an Opal candidate.
The clearest signal that you are ready for Opal: you have a Google Doc full of prompts you keep pasting into Gemini. That doc is already a workflow, just spread across copy-paste actions. Opal turns the doc into a single click.
The signal that Opal is overkill: you are exploring a new problem and do not yet know the steps. In that case, use a Gem or normal Gemini chat until the workflow stabilises, then promote it to Opal once you have run it three or four times the same way.
Bring This Into Your Daily Work
Opal is one of those tools that sounds abstract until you build your first app, and then you cannot remember how you worked without it. The investment is small. The compounding return on every repeat task is large. We understand AI. We understand you better. With UD by your side, AI doesn't feel cold.
The right next step is not to read more about Opal. It is to pick one repeat workflow this week, open the Gems manager, and rebuild it as an Opal app. The first one takes 20 minutes. Every subsequent run takes one click.
Stop Rebuilding the Same AI Workflow Every Week
Now that you understand how Opal works, the next step is mapping which of your existing workflows are ready to convert into reusable mini apps. We'll walk you through every step, from identifying high-leverage candidates to building, testing, and deploying your first three apps.
