Why Native AI Demands a New Stack
In 2025, building AI products isn’t just about plugging in an LLM or calling OpenAI’s API. The most impactful AI tools we’re seeing today, from AI copilots to intelligent automation, are native by …
The AI hype is real, but for most startups, integrating ChatGPT into a feature isn’t the same as building an AI-native product.
We’re at the edge of a generational shift: from SaaS 2.0 to Native AI-first startups, companies architected from …
🔍 Introduction
“AI-native” isn’t just a buzzword. It’s a foundational approach that threads intelligence, data, models, workflows, teams, and governance into every aspect of your system. However, achieving this is far more complex than simply adding an ML feature. In …
There’s a growing myth in the AI world that access to powerful models is enough. But while foundation models like GPT-4, Claude, and Gemini are transformative, the real competitive edge lies elsewhere.
It lies in the data that only you …
APIs once revolutionized software by making systems programmable. Now, internal data is stepping into that role. In 2025, AI agents are not just answering customer queries; they’re becoming internal copilots, capable of interfacing with your data stack, surfacing insights, and …
Imagine if your team’s Notion pages, Confluence wikis, or SOP folders could talk back, guiding new hires, answering customer questions, and automating routine ops. That’s not a futuristic dream anymore. With recent advancements in RAG, vector embeddings, and language models, …
Input your search keywords and press Enter.
