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How to Automate AI UGC with Opus 5.5

I’m going to walk you through how I’d build an AI UGC machine with Opus 5.5 today. Not just the part where AI generates videos, but the whole system around it. Finding good angles, writing scripts, creating video prompts, generating the actual clips, checking the output, publishing the content, and then using the results to decide what to make next. Because content changed shape a while ago. One…

First, establish the distribution channels for your AI-generated user-generated content (UGC). It's crucial to determine where your videos will be published, who will be responsible for publishing them, and what metrics you'll use to measure success. Simply having a large collection of AI-generated videos without a clear distribution strategy is not a growth system; it's just an impressive folder with zero views.

Next, set up the system with the following components:

1. Finding the right content angles

2. Using Opus 5.5 as the reasoning layer

3. Building a creator bible and content memory

4. Turning angles into scripts and video prompts

5. Generating videos at scale

6. Running automated quality checks

7. Publishing and measuring the results

8. Feeding those results back into the next batch

Begin with distribution, as it's often overlooked. There are several options to consider, such as publishing through your own brand accounts, working with existing creators, using a UGC creator marketplace, building partnerships or affiliate relationships, or combining these approaches. The key is that the generation system should not operate in isolation; there must be a clear path from generated video to real audience engagement.

The primary metric should be the number of useful, distributed, and learned-from videos, rather than just the number generated.

Opus 5.5 does not generate videos directly; it serves as the reasoning layer around the video generator. It is responsible for deciding the content's focus, the problem to address, the hook to test, the creator style to use, and whether to repeat or retire an idea based on the generated clip's performance. Think of Opus 5.5 as the director, the video generation model as the camera, and the distribution channels as the screen.

The system works as follows:

1. Opus 5.5 is the director

2. The video generation model is the camera

3. Distribution channels are the screen

Each part has a unique role, but they all work together to form a complete workflow. A simple version of this setup can reside within a single folder, which becomes the memory of your UGC system. Inside this folder, keep four essential files:

1. Brand brief: This explains your product, audience, positioning, key customer issues, common objections, and the desired viewer action. It serves as the foundation for every script.

2. Creator bible: This contains the creator's appearance, environment, lighting, personality, speaking style, clothing references, and reference images. Consistency is crucial, as watching video number 3 and then video number 80 should still feel like the same creator.

3. Hook library: Store all tested hooks here, along with their performance metrics (views, retention, clicks, conversions, comments, and watch time). Over time, this library becomes more valuable than a collection of random prompts, as you'll focus on what has worked for your audience rather than guessing what sounds good.

4. Running log: Record every batch, including generated content, tested angles, used hooks, quality checks, publishing outcomes, and your analysis of the results. This log helps you understand why a particular batch failed and prevents memory loss between batches.

Now, let's examine the five stages of the system:

Stage 1: Find the angles

Don't start by asking Opus 5.5 to generate 500 scripts. Begin with research, using customer reviews, competitor comments, Reddit discussions, your own comments, previous videos, and support conversations. Ask Opus 5.5 to identify patterns, such as customer frustrations, common objections, frequently used words, and situations that prompt a search for a solution. From this research, generate a set of content angles, with each angle having three key components:

1. The angle itself

2. The problem to address

3. The hook to test

By following this structured approach, you can create a consistent, brand-aligned AI-generated UGC system that generates a steady stream of engaging content to reach your target audience across various platforms.

Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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