This is a submission for the Agent.ai Challenge: Full-Stack Agent (See Details)
What I Built
NewsSnap empowers users to stay informed with lightning-fast, comprehensive research. It instantly scrapes and synthesizes data from across the internet to create concise, visually engaging 5-minute video summaries of topics, companies, or the past 7 days' news. Perfect for busy professionals, students, or anyone curious about the world, NewsSnap delivers reliable insights at your fingertips. Whether you're preparing for a meeting, studying, or catching up on the latest trends, NewsSnap transforms overwhelming information into clear, engaging videos—keeping you up-to-date with speed and simplicity.
To clarify, the news video is exclusively generated using information from the past 7 days from Google News, focusing solely on the specified topic or company as the context.
Demo
https://agent.ai/agent/research-byte
Here's a sample video generated by Newssnap with just the prompt: "Deepseek"
Here's another video with the prompt "Sam Altman"
https://agent.ai/agent/research-byte?rid=426f90b022b94c3b8351b0dfbd1918a2
Agent.ai Experience
While the agent builder offers an intuitive interface for basic tasks, I have encountered several challenges when developing more complex workflows. Specifically, AWS Lambda deployments have consistently failed without clear error messages, necessitating deployment to a personal server and invocation via POST requests. Additionally, I have experienced issues with FOR loops within the agent builder, and the debugging tools have not provided sufficient diagnostic information. Furthermore, the handling and formatting of JSON data requires further clarification. I have seen others using GPT-4 to parse JSON outputs, which should be done actually via code, but as there was no option to debug properly I understand that.
Despite these challenges, I recognize the platform's potential. With further development and resolution of these issues, the agent builder could empower users of all skill levels to rapidly create AI applications. It has the potential to become a central hub for AI agent orchestration, similar to Zapier, enabling agents to trigger external integrations based on their internal logic.
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