Hello.

Welcome to one more edition of AI growth insights.

You see, most social media algorithms reward timely and interesting topics.

So I just built an AI Agent to generate daily relevant content ideas.

Coming up with new ideas everyday is a major sticking point for me and all content creators I know of. And my goal with this agent is to make this process as easy as possible.

Now, despite its fancy name, it’s quite simple to build.

And in this post, I’ll explain how you can build a similar one. Whether you want to go the code or the no-code route, simply follow this roadmap.

I used Python’s Langchain and Brave Search API.

But you can use no-code tools like Flowise, Make, or Zapier if you’re creative enough.

Again, the steps are the same. So go ahead and bookmark this post so you can revisit it later when building yours.

1. Decide Which Keywords to Monitor

If you want to come up with relevant, timely content ideas before anyone else, you have to find them straight from the source.

So create a list of keywords relevant to your niche and target audience to monitor.

Next time you are on the lookout for content ideas, pay attention to the search terms you use.

You’ll likely find out — as I did — that you mostly search for the same stuff (only with slightly different variations).

So take note of the search terms you use most often and set your AI agent to monitor them. Again, I am using the Brave Search API, but you can use any other search tool (even on no-code apps).

2. Scrape The Search Results

Step two is to scrape websites, news, and videos from these monitored keywords.

Since most algorithms reward timely and new topics, my AI agent scrapes these keywords daily.

On top of that, I also use a recency parameter to filter only the newest search results.

The agent will scrape websites, videos, and news content to gather valuable data we will use to feed the AI model in the next steps.

Now, scraping websites and news articles is rather straightforward. But scraping video transcripts, not so much.

If you are using Python, there are some libraries that can help you here.

If you are using no-code, you will probably need to be more creative and find a decent API/plugin to help. But it is worth the effort.

3. Summarize with AI

Now, based on the content you’ve just scraped, you’ll use the AI to summarize everything.

The benefit of summarizing is twofold:

• Save on token usage;

• Ensures you get to the gist of the content without wasting time;

So, on top of saving tokens, you will also uncover the latest news and see what’s worth it to explore on your own.

4. Generate endless ideas

Step four is to prompt the AI to generate ideas.

Simply send your previously generated summaries to the GPT and prompt it to come up with ideas.

This step gets even more effective if you have your own personalized idea generation prompt (as every content creator should).

Take me as an example:

1) Since my idea generation prompt is optimized to generate relevant ideas for my brand;

2) And I’ve scraped and summarized the most recent and important news within my niche;

3) The ideas generated by the AI are highly relevant and useful.

That’s it. In summary:

• Your daily content idea generator monitors keywords and scrapes websites daily;

• Generates summaries

• Creates content ideas based on these summaries and a custom prompt optimized to come up with ideas for you and your brand

What do you think of this agent? Let me know!

PS: Need help implementing AI in your business?

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• AI Automation;

• Prompt Engineering;

• AI for Content Creation & Social Media Growth;

• And much more.