Building AI Mini‑Apps with Google Labs Opal
Google Labs Opal offers a no‑code, visual platform to build AI mini‑apps. From recipe generators to travel planners, create, share, and iterate in minutes.
AI Agent Workflows: The New Way to Build Smart Apps in 2025
AI agent workflows have become the go‑to method for developers looking to speed up coding, improve collaboration, [Read more]
Agentic AI Workflows: The New Way to Build Smart Apps in 2025
Agentic AI workflows let developers create smart, modular systems that automate complex tasks. This guide explores tools, best practices, and real‑world examples for 2025.
Agentic AI Workflows: How New Tools Let Developers Build Smart Automations
Agentic AI workflows let developers build systems that act, decide, and learn. Learn how n8n, Qodo, DeepResearch, and Gemini 2.5 Flash can help you automate tasks smarter and faster.
Vibe Coding: How AI Turns Words Into Apps in Minutes
Vibe coding lets you describe an app in plain language and get working code in seconds. This article explains the technology, tools, and real‑world benefits for developers and non‑developers.
AI Workforce Automation: How Robots and Chatbots Are Changing the Job Landscape
AI workforce automation is altering the job market with robots, chatbots, and new roles. This article breaks down the benefits, risks, and how businesses can adapt.
Fair Human-Centric Image Benchmark: A New Standard for Fairness in AI Vision
Sony AI’s Fair Human‑Centric Image Benchmark is a free, open dataset that helps developers test and fix bias in computer‑vision models. Read our guide to start building fairer AI today.
The Rise of Agentic AI Frameworks: How SEAL and DeepResearch Are Shaping the Future
Agentic AI frameworks such as SEAL and DeepResearch empower models to plan, act, and learn. This article covers new model releases, practical guides, and how to integrate them into your projects.
TinyML Fall Detection: A Low‑Power Edge Guide
TinyML fall detection turns a cheap accelerometer and micro‑controller into a privacy‑first, battery‑powered device that can spot accidental drops in real time. The guide covers hardware, data collection, model training, quantization, and deployment.
TinyML Emotion Detection on Low‑Power Devices: A Simple Guide
TinyML emotion detection lets a small micro‑controller read facial emotions in real time, all on a coin‑cell battery. The guide covers hardware, dataset creation, model training, quantization, and deployment on ESP32‑C3.