18 Nov 2025·7 min read
Which LLM For Which Task (And Why I Didn't Self-Host)
Lessons from building a platform that needed to pick the right model for each task. Spoiler: 'just use GPT-4' isn't a strategy.
LLMOpenAIClaudeModel Selection+1
Notes
Things I've figured out
Writing helps me think. These are notes on problems I've solved, experiments I've run, and things I wish I knew earlier.
Showing 1-6 of 25 notes
Page 1 of 5
5 Oct 2025·9 min read
Controlling 20,000 Requests Without Burning Money or Getting Banned
What I learned building request control for a multi-service LLM platform. Real patterns, real mistakes.
LLMRedisCeleryRabbitMQ+2
5 Sept 2025·6 min read
Why SEO is a Must-Learn Skill in 2025 (And It's Not What You Think)
SEO isn't just about rankings anymore. It's about visibility in AI Overviews, building trust signals, and understanding how machines interpret your content. Here's why every digital professional needs SEO now.
SEODigital MarketingCareerAI+1
12 Aug 2025·7 min read
What I Learned from SEO: Surviving the 2024-2025 Algorithm Chaos
The March 2024 core update changed everything. Here's what I learned about surviving Google's algorithm changes, why AI content strategies failed, and the lessons that shaped modern SEO.
SEOGoogle AlgorithmAI ContentE-E-A-T+1
25 Apr 2025·8 min read
When Matrices Stopped Being Scary (Linear Algebra for AI, Part 3)
How I learned matrices, eigenvalues, and SVD by connecting them to neural networks, PCA, and LoRA fine-tuning. The practical understanding that made AI systems click.
AIMathLearningMatrices+2
18 Mar 2025·7 min read
The Week Vectors Finally Made Sense (Linear Algebra for AI, Part 2)
How I learned to see vectors, dot products, and norms as practical tools for AI systems. The visual explanations that finally made embeddings and similarity click.
AIMathLearningVectors+1