This is a submission for the Agent.ai Challenge: Full-Stack Agent, but also could qualify for Assembly of Agents and Productivity-Pro Agent (See Details)
ON HOLD ⚠️
Currently, I’m facing problems deploying serverless code to AWS Lambda as you can see below.
Also some users in the community reported the same issue.
In case that the Challenge extends, I’ll continue the development process of this project, including modifications to the editor, the website, and this post.
In the meantime, I’m sharing some screenshots of how the editor looks like:
What I Built
One common issue when generating images with AI is that it is hard to get text right, that’s why I built an Agent that also incorporates an editor, you can give the agent instructions that you want to include in the design, such as the color of the design, title and content, then, with an embedded editor you can make tweaks to the design.
How does it work?
Demo
Prompts you can try:
If you select “Cover” as the design type:
If you select “Image Text Post” as the design type:
It has potential for way more than what you see
Currently, it only supports 2 types of designs (Lists and Covers), and I know the editor is not the most complete (keep in mind that this was built in very few days), but following this approach you could create a lot of types of assets and designs, these are some examples: charts, social media posts, invoices, PDF’s, and a lot more.
Agent.ai Experience
It was fun using the builder to create in a series of steps a tool that it can be helpful to a human, it wasn’t that hard to learn.
Where I struggled a little, was obtaining the defined variables in the agent, but finally I got my way around with this code:let agentVars = JSON.parse(event["body"]).context.
I know that Agent.ai is relatively new, so I can’t imagine what kind of crazy tools are going to be built with it as it advances more in its development and more people start to catch up. If I could give a suggestion, it would be to make more interactive and visually appealing videos on how to build agents in a way that people feel more attracted to the product (because I couldn’t find too much of them). Generally it was a good experience, I’m glad I participated.
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