Technology
AI tools, models, infrastructure, and the engineering decisions behind shipping AI products.
10 articles
The hidden cost of video AI beats the sticker price
"What does enterprise video AI actually cost beyond the platform fee?"
MCP shifts how technical leaders should think about product architecture
"How does MCP change the way we design AI integrations and product interfaces?"
From code to prompts: what operators stop doing when LLMs work
"When do I stop writing code and just prompt the model instead?"
The hybrid database plus context window stack that scales from zero
"How do I combine traditional databases with AI context windows without hitting scalability walls?"
Building the knowledge base stack without going broke
"How much does AI infrastructure actually cost per student-mentor pair to run profitably?"
RAG on a budget starts with the right input scope
"How do we build a working RAG system without blowing the token budget?"
Why local AI platforms beat the Silicon Valley extraction model
"How can San Diego's AI experts build defensible moats against centralized AI services?"
Token Economics in Knowledge Base Systems: When Cheap Queries Hide Real Bottlenecks
"Why do low per-query costs mask the real scaling constraint in AI knowledge bases?"
Context Windows Kill Flat-Fee AI Products. Here's Why Your Next Build Needs to Be Diagnostic.
"How do I price an AI product without burning through margins on tokens?"
Building a repeatable lead enrichment pipeline from tool evaluation to delivery
"How do we pick, test, and wrap enrichment tools into a productized workflow?"