Tag: What is Generative AI?

Two AI Assistants, One Blog Navigation Overhaul

Elena Daehnhardt · 14 May, 2026

A real-world experiment: Codex with GPT-5.3-Codex Medium planned and built a new tag and search system. Antigravity with Gemini 3.1 Pro fixed what was fragile and added features I had not even thought to ask for. My suitcase was packed — eventually. Read more...

AI is the New Literacy

Elena Daehnhardt · 4 May, 2026

AI literacy is becoming as fundamental as reading and writing — a set of skills that shapes who can fully participate in modern work and life. Here is what it looks like in practice, for everyone. Read more...

Cursor AI with MCP tools

Elena Daehnhardt · 29 Apr, 2026

A practical walkthrough for connecting Cursor AI to MCP servers so the assistant can use external tools, APIs, and project context safely. Read more...

This Week in AI: Regulation Heat, Cloud Bets, and Agentic Shopping

Elena Daehnhardt · 23 Jan, 2026

A structured breakdown of this week's AI signals: PwC reveals only 12% of CEOs get AI ROI, Meta faces a child-safety trial, chip export oversight advances, and Google's UCP proposes agentic commerce standards. Read more...

The Week AI Got Practical: Laws, Power, and Open Models

Elena Daehnhardt · 20 Jan, 2026

A structured breakdown of the week's AI signals: state-level safety laws harden, Texas becomes an AI infrastructure node, and Google advances agentic commerce rails. Read more...

Cursor Made Me Do It

Elena Daehnhardt · 3 Oct, 2025

AI makes software development feel frictionless, leading to unprecedented feature bloat. We explore the symptoms of AI scope creep and define a strict architectural framework to maintain control. Read more...

Gemini CLI versus Claude CLI

Elena Daehnhardt · 19 Sep, 2025

Command-line AI tools are the new pocket knives of coding life. We compare Gemini CLI and Claude CLI, detailing their installation, privacy profiles, SWE-bench accuracy, and how to integrate them via Python. Read more...

Vibe Coding with Cursor AI

Elena Daehnhardt · 12 Sep, 2025

Testing Cursor AI in Agent Mode feels like coding with a slightly eccentric but eager partner. Friendly, fast, sometimes forgetful — here’s how GPT-5, Auto mode, and grok-code-fast stack up, with real specs. Read more...

Workflow Automation with n8n

Elena Daehnhardt · 11 Aug, 2025

Manual content pipelines inevitably fail at scale. After outgrowing brittle Python cron jobs, I migrated my infrastructure to n8n—a self-hosted, node-based orchestration layer. Here is the technical breakdown of configuring databases, managing OAuth2 security, and deploying AI-driven agents. Read more...

Cursor AI for Python Development

Elena Daehnhardt · 4 Aug, 2025

Traditional AI chatbots require you to manually paste code snippets back and forth. Cursor AI fundamentally changes this dynamic by operating as an IDE built entirely around contextual AI agents. Here is my technical review of its RAG-based codebase indexing and Composer features for Python development. Read more...

On AI Coding Assistants

Elena Daehnhardt · 4 Aug, 2025

Not all LLMs write code the same way. After months of prototyping, debugging, and building architectures with Google Gemini, ChatGPT, and Claude AI, here is a technical breakdown of how they compare, and why the Model Context Protocol (MCP) changes everything. Read more...

Self-critical AI

Elena Daehnhardt · 30 May, 2025

Can Large Language Models achieve meta-cognition regarding their own stylistic patterns? In this primary research experiment, I tested Gemini, ChatGPT, and Claude to see if they could not only replicate my human writing style, but actively self-correct when confronted with AI-detection tools like Grammarly. Read more...

Vibe coding with Generative AI

Elena Daehnhardt · 27 Apr, 2025

I've been getting into "vibe coding" recently, quickly prototyping some of my ideas, and working on my pet projects. I must confess that the AI-assisted coding is a very addictive activity, and must be taken with caution since it has some security implications and requires a careful prompts engineering. Read more...

AI reads my blog

Elena Daehnhardt · 28 Mar, 2025

Traditional SEO is a brutal game for independent bloggers. But recently, I noticed a surge in a different kind of traffic ChatGPT and other AI bots are actively reading my blog. Here is how you can track AI traffic in GA4, manage bot access, and optimise your content to be cited by AI search engines. Read more...

How to Use Claude AI

Elena Daehnhardt · 12 Mar, 2025

What is Claude AI? What can we do with it, and how? Let's explore this fantastic AI assistant by Anthropic. Read more...

How CustomGPT Mitigates AI Hallucinations

Elena Daehnhardt · 13 Feb, 2025

CustomGPT reduces AI errors using specialised knowledge, quality data, and user feedback. Along with RAG, it provides accurate and reliable content for various applications. Read more...

Is DeepSeek R1 Secure?

Elena Daehnhardt · 1 Feb, 2025

There is a big question about DeepSeek's security (and also the security of any software product, in fact), safety, and legal usage outside of China. I am sharing my opinion and some relevant links on this topic. Read more...

DeepSeek R1 With Ollama

Elena Daehnhardt · 28 Jan, 2025

This post explores the use of Ollama, a state-of-the-art language modelling framework, in conjunction with pre-trained models such as DeepSeek R1. Read more...

Multimodal AI

Elena Daehnhardt · 28 Dec, 2024

Multimodal AI is rapidly evolving, pushing the boundaries of what machines can understand and achieve by combining information from multiple modalities like text, images, audio, and video. This post explores the core techniques of realising multimodal AI, existing systems and related research. Read more...

Generative AI vs. Large Language Models

Elena Daehnhardt · 4 Dec, 2024

Generative AI and Large Language Models (LLMs) are both important concepts in artificial intelligence, but they are not the same. Generative AI refers to different models that can create various types of content, such as text, images, and music. LLMs are a specific type of generative AI that focuses on understanding and producing human language. This post explains their differences, highlights key techniques like Transformers and GANs, and mentions important open-source projects. Read more...

What is RAG? How Retrieval-Augmented Generation actually works

Elena Daehnhardt · 8 Oct, 2024

Large language models are impressive, but they suffer from a major flaw they hallucinate facts because they are essentially just predicting the next word. Retrieval-Augmented Generation (RAG) fixes this by grounding the AI in verified data before it answers. Here is an overview of how it works and the current state of research. Read more...

Two AI Assistants, One Blog Navigation Overhaul Elena Daehnhardt · 14 May, 2026 A real-world experiment: Codex with GPT-5.3-Codex Medium planned and built a new tag and search system. Antigravity with Gemini 3.1 Pro fixed what was fragile and added features I had not even thought to ask for. My suitcase was packed — eventually. Read more...
AI is the New Literacy Elena Daehnhardt · 4 May, 2026 AI literacy is becoming as fundamental as reading and writing — a set of skills that shapes who can fully participate in modern work and life. Here is what it looks like in practice, for everyone. Read more...
Cursor AI with MCP tools Elena Daehnhardt · 29 Apr, 2026 A practical walkthrough for connecting Cursor AI to MCP servers so the assistant can use external tools, APIs, and project context safely. Read more...
This Week in AI: Regulation Heat, Cloud Bets, and Agentic Shopping Elena Daehnhardt · 23 Jan, 2026 A structured breakdown of this week's AI signals: PwC reveals only 12% of CEOs get AI ROI, Meta faces a child-safety trial, chip export oversight advances, and Google's UCP proposes agentic commerce standards. Read more...
The Week AI Got Practical: Laws, Power, and Open Models Elena Daehnhardt · 20 Jan, 2026 A structured breakdown of the week's AI signals: state-level safety laws harden, Texas becomes an AI infrastructure node, and Google advances agentic commerce rails. Read more...
Cursor Made Me Do It Elena Daehnhardt · 3 Oct, 2025 AI makes software development feel frictionless, leading to unprecedented feature bloat. We explore the symptoms of AI scope creep and define a strict architectural framework to maintain control. Read more...
Gemini CLI versus Claude CLI Elena Daehnhardt · 19 Sep, 2025 Command-line AI tools are the new pocket knives of coding life. We compare Gemini CLI and Claude CLI, detailing their installation, privacy profiles, SWE-bench accuracy, and how to integrate them via Python. Read more...
Vibe Coding with Cursor AI Elena Daehnhardt · 12 Sep, 2025 Testing Cursor AI in Agent Mode feels like coding with a slightly eccentric but eager partner. Friendly, fast, sometimes forgetful — here’s how GPT-5, Auto mode, and grok-code-fast stack up, with real specs. Read more...
Workflow Automation with n8n Elena Daehnhardt · 11 Aug, 2025 Manual content pipelines inevitably fail at scale. After outgrowing brittle Python cron jobs, I migrated my infrastructure to n8n—a self-hosted, node-based orchestration layer. Here is the technical breakdown of configuring databases, managing OAuth2 security, and deploying AI-driven agents. Read more...
Cursor AI for Python Development Elena Daehnhardt · 4 Aug, 2025 Traditional AI chatbots require you to manually paste code snippets back and forth. Cursor AI fundamentally changes this dynamic by operating as an IDE built entirely around contextual AI agents. Here is my technical review of its RAG-based codebase indexing and Composer features for Python development. Read more...
On AI Coding Assistants Elena Daehnhardt · 4 Aug, 2025 Not all LLMs write code the same way. After months of prototyping, debugging, and building architectures with Google Gemini, ChatGPT, and Claude AI, here is a technical breakdown of how they compare, and why the Model Context Protocol (MCP) changes everything. Read more...
Self-critical AI Elena Daehnhardt · 30 May, 2025 Can Large Language Models achieve meta-cognition regarding their own stylistic patterns? In this primary research experiment, I tested Gemini, ChatGPT, and Claude to see if they could not only replicate my human writing style, but actively self-correct when confronted with AI-detection tools like Grammarly. Read more...
Vibe coding with Generative AI Elena Daehnhardt · 27 Apr, 2025 I've been getting into "vibe coding" recently, quickly prototyping some of my ideas, and working on my pet projects. I must confess that the AI-assisted coding is a very addictive activity, and must be taken with caution since it has some security implications and requires a careful prompts engineering. Read more...
AI reads my blog Elena Daehnhardt · 28 Mar, 2025 Traditional SEO is a brutal game for independent bloggers. But recently, I noticed a surge in a different kind of traffic ChatGPT and other AI bots are actively reading my blog. Here is how you can track AI traffic in GA4, manage bot access, and optimise your content to be cited by AI search engines. Read more...
How to Use Claude AI Elena Daehnhardt · 12 Mar, 2025 What is Claude AI? What can we do with it, and how? Let's explore this fantastic AI assistant by Anthropic. Read more...
How CustomGPT Mitigates AI Hallucinations Elena Daehnhardt · 13 Feb, 2025 CustomGPT reduces AI errors using specialised knowledge, quality data, and user feedback. Along with RAG, it provides accurate and reliable content for various applications. Read more...
Is DeepSeek R1 Secure? Elena Daehnhardt · 1 Feb, 2025 There is a big question about DeepSeek's security (and also the security of any software product, in fact), safety, and legal usage outside of China. I am sharing my opinion and some relevant links on this topic. Read more...
DeepSeek R1 With Ollama Elena Daehnhardt · 28 Jan, 2025 This post explores the use of Ollama, a state-of-the-art language modelling framework, in conjunction with pre-trained models such as DeepSeek R1. Read more...
Multimodal AI Elena Daehnhardt · 28 Dec, 2024 Multimodal AI is rapidly evolving, pushing the boundaries of what machines can understand and achieve by combining information from multiple modalities like text, images, audio, and video. This post explores the core techniques of realising multimodal AI, existing systems and related research. Read more...
Generative AI vs. Large Language Models Elena Daehnhardt · 4 Dec, 2024 Generative AI and Large Language Models (LLMs) are both important concepts in artificial intelligence, but they are not the same. Generative AI refers to different models that can create various types of content, such as text, images, and music. LLMs are a specific type of generative AI that focuses on understanding and producing human language. This post explains their differences, highlights key techniques like Transformers and GANs, and mentions important open-source projects. Read more...
What is RAG? How Retrieval-Augmented Generation actually works Elena Daehnhardt · 8 Oct, 2024 Large language models are impressive, but they suffer from a major flaw they hallucinate facts because they are essentially just predicting the next word. Retrieval-Augmented Generation (RAG) fixes this by grounding the AI in verified data before it answers. Here is an overview of how it works and the current state of research. Read more...