Practical notes on web, search, AI, commerce and data — written around what teams can actually use.
Ideas with
utility.
What Is Generative Engine Optimization?
Search is becoming a retrieval problem as much as a ranking problem. GEO makes information easier for AI systems to understand, retrieve and reuse with confidence.
SEO vs GEO vs AEO: What’s the Difference?
SEO, GEO and AEO overlap heavily. The useful distinction is what surface you are optimizing for and how the answer is retrieved.
Search / 8 minHow to Optimize for Google AI Overviews
AI Overviews reward many of the same fundamentals as search, but retrieval-friendly structure and strong source signals matter even more.
AI / 8 minAI Agents vs AI Assistants
The important difference is not chat versus no chat. It is how much autonomy the system has, which tools it can use and what actions it can take.
AI / 9 minRAG vs Fine-Tuning vs AI Agents
RAG, fine-tuning and agents solve different problems: knowledge access, behavior adaptation and action-taking workflows.
Development / 9 minVibe Coding vs Traditional Development
AI-assisted coding changes the speed of exploration. It does not remove the need for architecture, debugging, security and production judgment.
Development / 7 minSupabase vs Firebase
Both platforms reduce backend setup, but the data model, ecosystem and operational preferences can make one a much better fit.
Uncategorized / 7 minHello world!
Welcome to WordPress. This is your first post. Edit or delete it, then start writing!
Bring the brief.
We’ll bring the system.
Tell us what you are building, what is getting in the way and where you want it to go.
Start aproject