01 / WRITING
Notes from building it.
Long-form engineering writing on applied AI — what we build, what broke, and what we would do differently. No listicles.
01
AI Agent Memory Engineering
A deep-dive engineering guide to building memory systems for AI agents — short-term, working and long-term memory layers, with context engineering, RAG pipelines and persistent profile files.
Research report
- Agents
- Memory
- RAG
02
From Classical ML to LLMs: Model Selection Guide
A decision matrix for choosing the right model across 18 use cases — from tabular data to multimodal understanding. XGBoost vs LLMs, when to fine-tune, and what we would actually put in production.
Research report
- Model selection
- LLMs
- Machine learning