Your product’s success isn’t just measured by its capabilities but by how seamlessly it integrates into users’ lives

Deployed on Friday, servers didn’t melt, and I didn’t get a 3 AM Slack ping. Is this… what winning feels like?

In a world of deep research, go deeper with ARI. Meet ARI: The world's first professional-grade deep research agent.

Git commit messages are 90% ‘fixed it,’ 9% ‘oops,’ and 1% ‘I have no idea what I’m doing but it works now.’ Poetry of the trade.

Some people today are discouraging others from learning programming on the grounds AI will automate it. This advice will be seen as some of the worst career advice ever given. I disagree with the Turing Award and Nobel prize winner who wrote, “It is far more likely that the

Great research on open-source by Harvard University: - $4.15B invested in open-source generates $8.8T of value for companies (aka $1 invested in open-source = $2,000 of value created) - Companies would need to spend 3.5 times more on software than they currently do if OSS did not exist I

ARI is the world’s most intelligent deep research agent...even according to OpenAI 👀 ARI beats OpenAI Deep Research 76% of the time—but don't just take our word for it. Their own model was the judge (thanks, o3). And now, you can try ARI for free 🧵

Can smaller AI companies still beat OpenAI? Yes, if they focus: ARI (our Advanced Research & Insights agent) just beat OpenAI's Deep Research. By a large margin and on two benchmarks. Today, we're also introducing ARI Enterprise, giving financial analysts, consultants and

I was exploring MCP recently and decided to jot down some thoughts. It feels like a foundational layer for how AI models will interact with tools and systems as we progress—clean abstraction, less glue code, and a better way to plug LLMs into your product or stack. If you're

Most folks aren’t using AI wrong—they’re just using it alone.

Congrats buddy, you deserve every inch of this success 🎉

AI will stop feeling overwhelming once you stop expecting one model to do it all.

The future belongs to products and platforms that democratize access and enable users to do more with less friction. Whether you’re in AI or not, your north star should be the same: empowerment at scale!

A common question I get from business teams is the role of humans in an AI agent workflow. Should a human check every step? Should a human watch the whole workflow? Should a human only check the last step? Only the first? How do we check for reliability/consistency? What role

💎Hidden AI secret alert: you.com Pro gives you o3-Pro + claude opus4 extended for just $15/mo the same models others charge $200 for (hi Perplexity/ChatGPT) Massive respect to Richard Socher & team for making top-tier AI accessible, few understand it!