Building an Assistant using Google ADK and Chainlit
Building an AI agent capable of naturally conversing and executing SQL queries against a data warehouse is a frequent highlight of modern tech showcases. While demos present this as a frictionless magic trick, real-world implementation quickly reveals the heavy engineering required—an area where teams like Payoda often support enterprises in turning experimental AI use cases…
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Jayeesha Das
Understanding the Large Language Models (LLMs)
Large Language Models (LLMs) are changing the way humans interact with machines. Code writing, content creation, the tutoring process for students, and the usage of intelligent assistants are just a few examples where LLMs have paved the way to become the building blocks of modern computing technology. The following discussion will provide you with a…
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Jayeesha Das
Agentic Coding vs Assistive AI: Choosing the Right Model for Developer Productivity
Why faster code isn’t always better systems Introduction – When Productivity Stops Being Simple Teams adopt AI tools expecting velocity gains, only to encounter a different class of problems: unclear ownership of changes, pull requests that are harder to reason about than the code they replaced, and gradual erosion of architectural clarity. In many engineering…
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Jayeesha Das
UX After Authentication: AI That Doesn’t Need Logins
A practical, human-first look at why logins are getting in the way of intelligent systems Almost everyone building AI products reaches the same moment of confusion. The model performs well. The interface looks clean. The demo runs smoothly. Then real users arrive, and the first complaint is not about accuracy or intelligence. It is about…
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Jayeesha Das
The Angular Renaissance: Signals, Zoneless, and the GenAI Frontier
1. Introduction: The Performance Paradox Enterprise developers are currently drowning in legacy Angular applications that struggle with performance bottlenecks and outdated change detection mechanisms. The traditional Zone.js approach, once revolutionary for its “magic” reactivity, now creates unpredictable performance patterns that simply cannot compete with 2026 web standards. As applications grow in complexity, the “check-everything” nature…
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Jayeesha Das
AI-Powered Search in .NET with Elastic + ML.NET
Introduction: Modern digital platforms rely heavily on intelligent search to deliver precise results instantly. Traditional keyword-based search systems, however, often fail to grasp the meaning behind a user’s query. For example, a user searching for “budget-friendly noise-cancelling earbuds” may receive unrelated premium listings because the engine matches keywords rather than context. The fundamental limitation lies…
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Priyadharshini
Shielding Insurers: Intelligent Fraud Detection
“Every act of fraud weakens a system; every act of integrity strengthens it.” Introduction: Fraud is any intentional act of deception carried out to gain an unfair or unlawful advantage. In industries such as insurance, banking, and financial services, where organizations increasingly rely on data-driven decision-making and digital workflows, detecting and preventing fraud has become…
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Priyadharshini
10 AI & ML Trends for 2026: Insights from Payoda’s Experts
Introduction: As businesses move toward an entirely intelligent digital ecosystem, AI trends 2026 are bound to redefine every industry, whether it is manufacturing and retail or healthcare and finance. Organizations that once saw AI as an experimental capability are now treating it as a core pillar of competitive advantage. However, with rapid innovation comes an…
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Jayeesha Das
AI-Powered Voice Apps: Trends, Use Cases, and Benefits
Introduction: Over the recent couple of years, voice technology has moved from a specialized utility to a mainstream digital interaction model. It has reshaped how users communicate with devices, apps, and businesses. In 2026, this shift will accelerate dramatically as AI-powered voice apps have become more intelligent, context-aware, and deeply embedded into enterprise ecosystems. Voice…
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Priyadharshini
AI and Work in the Future: Job and Labour Force Impact
Introduction: Artificial Intelligence is no longer an idea confined to futuristic films or advanced research centers. It has slowly blended into the routine activities of everyday life. From voice assistants like Siri and Alexa to the personalized suggestions we see on platforms like Netflix, AI silently supports many of the choices we make throughout the…
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