Building Resilient AI Architectures with FastAPI
Author(s): CapeStart Originally published on Towards AI. Introduction As AI-powered applications transition from experimental prototypes to mission-critical production services, resilience, scalability, and fault tolerance become paramount. Modern AI systems, particularly those leveraging large language models (LLMs) like Azure OpenAI, should handle network …
Building A Multi-Modal Investment Agent for Earnings Call Analysis
Author(s): Farhad Malik Originally published on Towards AI. A Working Investment Agent To Process Transcripts, Audio, and Charts with AI to Generate Insights Earnings calls are a key input to investment research, revealing management’s strategic direction, forward guidance, competitive positioning, and analyst …
Building an Effective AI Strategy: A Simple Roadmap For Enterprise-Scale Adoption
Author(s): The Hackett Group Originally published on Towards AI. Artificial intelligence has evolved beyond experimentation and is now at the core of how leading enterprises operate, innovate, and compete. While most organizations have deployed AI in at least one function, few have …
From Copilots to Digital Labor: Scaling Agentic AI in the Enterprise
Author(s): Wahidur Rahman Originally published on Towards AI. How the AI industry is making a quiet but seismic shift — and why most organizations are completely unprepared for it. There’s a moment in the lifecycle of any transformative technology where it stops …
My Journey Learning Google ADK: Building AI Agents from Scratch | Part 4
Author(s): Pranav Dhopey Originally published on Towards AI. Building AI Agents from Scratch | Part 4 Welcome back! This is Part 4 of my ADK learning series. If you’re new here, start with Part 1 (Basics), then Part 2 (State Management), and …
My Journey Learning Google ADK: Building AI Agents from Scratch | Part 3
Author(s): Pranav Dhopey Originally published on Towards AI. Part 3: Workflow Agents — Building Agent Teams Welcome back! This is Part 3 of my ADK learning series. Catch up with Part 1 (Basics) and Part 2 (State Management) if you haven’t already. …
The Algorithmic Arbitrage Crisis: Why AI-Powered Gambling Represents a Systemic Market Failure
Author(s): Shashwata Bhattacharjee Originally published on Towards AI. The convergence of artificial intelligence and gambling infrastructure represents one of the most underexamined technological risks of the 2020s. While public discourse focuses on AI safety in autonomous systems or misinformation, a more immediate …
The Great AI Paradox of 2025: Why 88% Adoption Doesn’t Equal Transformation
Author(s): Shashwata Bhattacharjee Originally published on Towards AI. The artificial intelligence revolution promised to be swift and decisive. Three years after ChatGPT catalyzed the generative AI era, we find ourselves in a curious position: AI is everywhere, yet transformative impact remains elusive …
ClawBot’s Architecture Explained: How a Lobster Conquered 100K GitHub Stars 🦞
Author(s): Kushal Banda Originally published on Towards AI. ClawBot’s Architecture Explained: How a Lobster Conquered 100K GitHub Stars 🦞 The technical design decisions that turned a personal hobby project into 2026’s most-discussed AI agent An open-source AI agent hit 100,000 GitHub stars …
5 Best Practices for Building AI Applications That Actually Scale
Author(s): Dhanush Kandhan Originally published on Towards AI. 5 Best Practices for Building AI Applications That Actually Scale — By Dhanush Kandhan It’s 2026 dude. If your SaaS/Application just “calls an LLM,” you don’t have a business, you have a bill. Every …
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