Systems | Development | Analytics | API | Testing

The Fastest Way to Create a Smart Appointment Booking AI Agent | Demo

Imagine an AI agent that can handle patient appointment scheduling from start to finish. That’s exactly what our AI Product Strategist Ayesha Amjad built using Astera AI Agent Builder. With Astera’s low-code and drag and drag-and-drop interface, she created an intelligent agent that can: Ask for symptoms and recommend the right doctor Verify insurance and calculate co-pay details Show available appointment slots Schedule appointments and send confirmation Manage the entire experience without human involvement.

Impact of Generative AI & Changing Search Habits in the SEO Industry

The old rules of SEO are crumbling. Thanks to generative AI, search behavior is changing fast, and marketers who cling to outdated playbooks are already feeling the squeeze. Instead of just typing queries into Google and scrolling through ten blue links, users are increasingly relying on AI-powered platforms like ChatGPT, Bard, and Perplexity to get instant, conversational answers.

Deploying Gen AI in Production with NVIDIA NIM & MLRun

In less than three years, gen AI has become a staple technology in the business world. In November of 2022, OpenAI launched ChatGPT, with explosive growth of over 1 million users in just five days, galvanizing the widespread use of gen AI. Over the course of 2023 enterprises entered the experimentation stage and kicked off POCs with API services and open models including Llama 2, Mistral, NVIDIA and others.

Gemini 2.5 Pro Vs OpenAI O1: Benchmarking AI Models For Software Testing

This benchmark report provides a side-by-side comparison of Google’s Gemini 2.5 Pro and OpenAI’s o1 models in AI-driven software testing. Across both unit test generation (UTG) and API test generation (ATG), Gemini 2.5 Pro demonstrated clear superiority in key areas. In summary, Gemini 2.5 Pro outperformed OpenAI o1 by: OpenAI’s o1 model had strengths in smaller-scale applications, but overall it generated shallower tests and struggled to match Gemini on complex projects.

AI Won't Replace Developers, But It Will Leave Some Behind

This article originally appeared on SD Times on May 30, 2025. We’re sharing it here for our audience who may have missed it. The headlines are seductive: AI will replace developers. Coding is dead. Ship 10x faster with half the team. It’s the kind of hype that grabs attention and fuels confusion.

Faster Release Notes With Presets and Localization Copying

If you release often or support a localized app, you know how quickly release notes can become a repetitive chore. Creating and managing release notes for every version can take up valuable time, especially when updates are frequent. The challenge grows when your app is localized, but your release notes aren't. App stores typically require localized notes, which often leads to a lot of copy-pasting or scrambling to meet requirements in languages your team may not speak fluently.

Llm Txt Generator: Why The Llms.Txt File Matters And How To Use Effectively

Due to artificial intelligence and Large Language Models, having streamlined data communication, easy access and easy discovery is now more important than ever. Many people are unaware of it, but the llms.txt file is very important and key to what happens in the machine learning and web sectors. With this plain text file, websites and platforms can interact with LLMs, giving metadata that can impact the way AI indexes, interprets and generates their content.