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The race to build intelligent software has entered a new stage. For the last three years large language models have dominated the imagination of builders and investors. They showed the first real glimpse of general language understanding at scale and …
Lessons from the Trenches
If you’re building an AI powered SaaS platform in 2025, you know one thing for certain: every customer expects personalized, fast, and secure experiences. They want the magic of AI, but with all the predictability and …
In small startups and businesses, data is often messy, fragmented, and underleveraged. Yet within those siloes, logs, user events, CRM entries, feedback forms, and support tickets lie rich signals. The challenge is converting that “data chaos” into structured insight and …
Legacy Isn’t Just Old Code, It’s a Mindset
Every company has a legacy system.
Sometimes it’s an actual codebase from the 90s still powering mission-critical functions. But more often, it’s the way teams work, the stitched-together spreadsheets, the repetitive PDF …
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 …
AI agents are no longer experimental, they’re operational. From autonomous customer support to real-time sales agents, businesses across industries are leveraging AI agents to streamline tasks, enhance productivity, and reduce operational costs. But with the growing complexity and investment involved, …
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