WeaveSynth

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Inspiration

I have been using perplexity for quite a while now, one thing that peaked my interest was that there were curated news cards by users. It is the page feature, where users can curate news or topics. I took my inspiration from there and decided to make it completely automated. Specially I liked that it could suggest images too.

What it does

WeaveSynth automates your news feed by seeding news at particular times on what's happening around the world. It could weave through your interests and tailor your feed accordingly!

It generates news three times a day, morning, afternoon and night.

How we built it

We used Next.js for managing the website. For cron job of pushing the news articles we created a Python script to be executed at particular times. We put this cron job in Render.

Challenges we ran into

Making sure AI-generated articles adhered to journalistic standards while steering clear of repetitious or generic content was one of our toughest challenges. Our AI agents needed to be refined through numerous iterations and extensive prompt engineering in order to strike a balance between automation and editorial quality.

What we learned

Limitations of AI and Human Oversight: We found that although AI is very good at processing data and producing preliminary drafts, human editorial judgment is still essential for reporting ethical issues and complex stories.

The Value of High-Quality Data: With AI-generated content, the old proverb "garbage in, garbage out" was particularly relevant. The output quality was significantly enhanced by taking the time to clean and validate our data sources.

User Experience Design: Different design principles than those used by traditional news sites were needed to create an intuitive interface for in-depth news consumption. Users needed to be able to easily navigate through complicated, synthesized content.

What's next for WeaveSynth

Advanced Personalization Engine To provide genuinely customized news experiences, we intend to introduce more advanced user profiling that takes into account reading speed, subject-matter expertise, and preferred content depth.

Real-time Breaking News Integration: Using our AI agents operating in real-time, we are creating quicker reaction mechanisms for breaking news events, such as live-updating articles that change as stories progress.

Multi-media Content Generation: To provide a more thorough news experience, going beyond text to incorporate data visualizations, infographics, and even video summaries produced by AI.