The AI & Tech Society by Danar

AI Evaluations Masterclass: How Product Managers and Tech Leaders at Top Companies Build Reliable AI SystemsAre you shipping AI features without knowing if they actually work? In this comprehensive episode of The AI and Tech Society, AI and tech leader Danar Mustafa delivers the definitive guide to AI evaluations—the systematic approach that separates production-ready AI from expensive failures.What You'll Learn:🔹 AI Evaluation Fundamentals – Understand what AI evals are, why LLM evaluation differs from traditional ML, and the five dimensions every team must measure: performance, robustness, fairness, factuality, and consistency.🔹 The 9-Step Evaluation Process – A field-tested framework covering everything from defining success metrics to continuous monitoring, used by engineering teams at leading tech companies like Anthropic, OpenAI, Google, Meta, and Microsoft.🔹 Complete Tools Comparison – Deep dive into the best AI evaluation frameworks:Promptfoo for prompt engineering and model comparisonRAGAS for RAG pipeline evaluationDeepEval for pytest-style LLM testingLangSmith and LangFuse for tracing and observabilityTruLens for inline feedbackArize Phoenix for LLM debuggingMLflow Evaluate for experiment trackingDeepchecks and EvidentlyAI for drift detectionRobustness Gym for adversarial testing🔹 CI/CD Integration – Copy-paste implementation plan for automating AI quality gates in your development pipeline, including specific thresholds for hallucination detection, accuracy regression, and safety violations.🔹 Real-World Patterns – Battle-tested evaluation setups for customer support AI, HR chatbots, RAG assistants, and content moderation systems deployed at scale.🔹 PM vs. Engineering Roles – Clear guidance on how product managers should lead evaluation strategy while engineers operationalize the technical infrastructure.Perfect For:Product Managers building AI-powered featuresMachine Learning Engineers deploying LLMs to productionEngineering Leaders establishing AI quality standardsTech Leaders at startups and enterprises adopting generative AIAnyone working with ChatGPT, Claude, Gemini, Llama, or other foundation modelsTools & Technologies Discussed: Promptfoo, RAGAS, DeepEval, LangSmith, LangFuse, TruLens, Arize Phoenix, MLflow, Deepchecks, EvidentlyAI, Robustness Gym, OpenAI Evals, LangChain, pytest, CI/CD pipelines, GitHub ActionsKeywords: AI evaluations, AI evals, LLM evaluation, machine learning testing, AI quality assurance, prompt engineering, RAG evaluation, hallucination detection, AI safety testing, MLOps, LLMOps, AI product management, generative AI deployment, foundation models, ChatGPT evaluation, Claude evaluation, AI metrics, model monitoring, AI observabilityWhether you're at a Fortune 500 enterprise, a high-growth startup, or a tech giant like Amazon, Google, Microsoft, Meta, or Apple, this episode provides the blueprint for shipping AI that users trust.Subscribe to The AI and Tech Society for weekly insights on artificial intelligence, machine learning, and technology leadership.

The AI and Tech Society Podcast - November 2025 EpisodeExplore the groundbreaking AI developments of November 2025: GPT-5.1, Gemini 3, and Claude Opus 4.5 model releases; massive investments including Microsoft's $5B Anthropic deal and AWS-OpenAI's $38B partnership; Cursor's $29.3B valuation; real-world AI deployments in healthcare and robotics; 54.6% US adult AI adoption rate; and what these advances mean for jobs, businesses, and the future of work. Tech leader Danar breaks down how AI crossed from emerging technology to mainstream infrastructure, with actionable insights for engineers, leaders, and professionals navigating this transformation.Keywords: AI developments 2025, GPT-5.1, Gemini 3, Claude Opus 4.5, Cursor AI valuation, AI investments, Microsoft Anthropic, AI adoption rates, future of work, AI transformation, tech industry trends, AI coding tools, robotics deployment, enterprise AI strategy

Today we have a truly fascinating episode for you. We're diving deep into one of the most important questions in technology right now: How much is AI actually boosting productivity? And not in some theoretical sense—we're talking about real-world data from millions of actual conversations from Claude AI.

The State of AI 2025 from McKinsey provides a reality check: AI adoption is nearly universal, yet real transformation remains concentrated among a small group of high-performing organizations. The hype is massive but the gap between excitement and enterprise-level impact is still wide.In this post, I want to break down the findings from the report through the lens of someone who builds and deploys AI systems, often for organizations trying to scale beyond pilots. These insights reflect both what the data shows and what I see daily in my conversations with executives, engineers, and AI strategy teams.

Cursor AI: The AI Code Editor Transforming Software DevelopmentCursor AI was created by a team of four MIT graduates – Michael Truell, Aman Sanger, Sualeh Asif, and Arvid Lunnemark – who founded the company (Anysphere, Inc.) in 2022. They launched the first version of Cursor in 2023 with the vision of an AI-native coding environment that could do much more than simple autocomplete. Early on, their prototype gained traction among developers for its ability to “understand, write, and debug code” alongside the user. This momentum helped the founders secure an $8 million seed round in 2023, led by OpenAI’s Startup Fund – a strong vote of confidence that gave Cursor access to capital (and cutting-edge AI models) to accelerate development.https://digitalstrategy-ai.com/2025/11/07/cursor-ai-business-model/

We cover the high-stakes battle among Big Tech — OpenAI, Microsoft, Google, and NVIDIA — and the startup surge led by Poolside, Harvey, Mercor, and Fireworks AI. Plus a global workforce snapshot showing where AI anxiety is rising fastest.

As an AI and technology leader, I’ve witnessed firsthand how generative AI has transformed how people work, learn, and create. The newly released OpenAI study, “How People Use ChatGPT” (September 2025), offers the first large-scale, privacy-preserving analysis of how millions of people worldwide are actually using ChatGPT. The results reveal fascinating shifts in human–AI interaction — with implications far beyond productivity alone.This study analyzed over 18 billion weekly messages sent by 700 million users, representing nearly 10% of the global adult population. What it uncovers about ChatGPT usage trends in 2025 paints a vivid picture of AI adoption at scale — from the boardroom to the classroom, and from Silicon Valley to emerging markets.The Rise of Everyday AI

Today we’re unpacking everything OpenAI announced at DevDay 2025 — and what it really means for developers and engineering teams