Field notes from the TestML core.
Short reads on portable tests, polyglot CI and the spec. One idea per post. No fluff.
posts21
How AI Stabilizes and Improves Cloud Business Operations
Learn how AI stabilizes cloud operations, cuts costs, improves uptime, and drives data-led decisions. Includes best practices, governance, and trends.
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Seed AI Framework in AI: How Recursive Self-Improvement Works
Learn what Seed AI is, its key features, history, comparisons, real use cases, and why researchers still have no Seed AIs.
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What Is an AI Company? Types, Uses, Ethics & Examples
Learn what is an AI company, key components, types, real uses, and AI ethics. Includes notable examples like Tesla, plus ethical signals to look for.
Read postHow AI Is Revolutionizing Drug Development: Apps, Benefits, Tradeoffs
Learn how AI in drug discovery works, key milestones like clinical trials, protein structure prediction, and the benefits, risks, and next steps.
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How to Set Up the Figma MCP Server with Claude Code
Learn how to add, connect, and use Figma MCP with Claude Code. Includes remote server setup, auth steps, and validation tips.
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How to Develop AI Systems, Apps, and Agents
Learn how to develop AI systems step by step. See AI application types, key algorithms, required technologies, and future trends for agents.
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AI Risks Explained: Careers, Security, Bias, and NIST
Learn what the risks of AI are, how they affect careers and data, and how AI risk management uses the NIST framework to reduce harm.
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Where Is Anthropic AI Based? HQ Locations and What They Mean
Learn where Anthropic AI is based, plus HQ locations for Mistral and Scale. Understand why tech hubs shape AI teams, talent, and delivery.
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Who Invented LLMs? A Clear History of Large Language Models
Learn who invented LLMs and how they evolved. Discover early research, transformer breakthroughs, key figures, and where LLMs are headed next.
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When Did AI Develop? AI Agent and Chatbot Timeline
Learn when AI agents started, when chatbots became big, and when LLMs and AI data centers emerged. A clear AI history.
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How At Risk Is My Job From AI? Practical Ways to Check
Learn how at risk your job is from AI using role signals, task audits, and hiring trends. Plus what to do if AI changes your work.
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How to Use Bing AI Chat: Get Answers, Images, and More
Learn how to use Bing AI Chat through Bing and Microsoft Edge. Discover prompts, follow-ups, image generation, exports, and key limits.
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How to Use AI in Finance: Real Use Cases, Benefits, and Risks
Learn how to use AI in finance with practical examples for forecasting, fraud detection, risk management, and safer decision-making.
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How to Use an AI Agent: A Practical Guide to Real Workflows
Learn how to use an AI agent in real workflows. Start with goals, set up tools, test outputs, and manage autonomy for reliable automation.
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How to Track AI Overviews (AIOs) and Measure Their Impact in GA4
Learn how to track AI Overviews with GA4 and Google Search Console, interpret data, and use insights for SEO strategies and visibility.
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Google AI pricing and which models power its tools
See what model powers Google AI tools, what llm Google Search uses, and how much Google AI costs, including AI Studio and AI Plus.
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What Is Mistral AI? Models, Uses, and How It Stacks Up
Learn what Mistral AI is, how its models work, what Mistral Large 2 and Codestral are used for, and how it compares to other AI tech.
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What Are the Risks of AI? A Practical Guide Across Sectors
Learn what is AI risk, from bias and privacy to cybersecurity threats, job displacement, IP issues, energy use, and existential risks.
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Which small AI companies are partnering with Nvidia? A practical guide to the noise
Learn how to spot real momentum in small AI companies, including Nvidia partners, major investors, and growth signals—without hype.
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Who Made the First AI Chatbot and LLM? The Key People, Timeline, and Concepts
Learn who made the first AI chatbot and first LLM, who invented early AI, and how modern AI assistants are built and monitored.
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When Did AI Start? A Timeline of Models, Chatbots, Agents, and Data Centers
Get a practical AI timeline: when major models, chatbots, agents, and data-center builds began, plus why adoption surged.
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