LLM Evaluation Framework Selection for Individual Developers
Choose your evaluation framework based on your build stage, not your feature checklist.
Piotr Whitaker
Section
AI Consumer Models
10 stories in AI Consumer Models.
AI Agent Architecture Diagrams and What They Actually Show
How AI agent architecture diagrams map to what actually runs in production.
Camille Nakamura
LLM Reasoning Quality Differences Across GPT-4o, Claude 3.5, and Gemini 1.5
Claude and Gemini dominate different reasoning tasks while GPT-4o trails on science and code.
Camille Nakamura
LLM Cost and Latency Trade-Offs for Individual Developers
Comparing models requires measuring cost per task, not cost per token.
Piotr Whitaker
Ambient AI in Apple and Google Ecosystem Devices
Apple and Google diverge sharply on how ambient AI should handle your data.
Camille Nakamura
RAG vs Agentic AI for Personal Assistant Use Cases
RAG retrieves known information; agents decide and act on their own.
Freya Haddad
personal AI assistants that support proactive multi-platform communication
Persistent memory and autonomous execution enable assistants to act on your behalf across apps.
Camille Nakamura
no-code AI assistant platforms that offer persistent user memory out of the box
Persistent memory varies wildly across platforms despite identical marketing claims.
Piotr Whitaker
hosted personal AI assistants with persistent memory: comparing Jenova, Lindy, Vellum, and similar platforms
Three memory philosophies shape how AI assistants learn who you are.
Piotr Whitaker
platforms that add memory and integration layers on top of foundation AI models
These platforms turn stateless AI models into agents that remember users and act across their tools.
Camille Nakamura