Insights
Practical thinking for AI systems that have to work.
Clear guidance on product decisions, architecture, evaluation, and operations—without inflated promises.
Evaluation · 8 min read
How to Evaluate an AI System Before and After Launch
A practical approach to measuring AI quality, safety, latency, and cost before launch and during real-world operation.
Voice AI · 8 min read
Designing Voice AI Agents That Work Beyond the Demo
The product and engineering decisions that turn a conversational voice demo into a dependable operating system.
Automation · 7 min read
How to Identify High-Value AI Automation Opportunities
Find workflows where AI can create meaningful leverage without adding avoidable operational risk.
Product strategy · 8 min read
How to Plan and Validate an AI Product MVP
A practical framework for reducing product, data, model, and workflow risk before expanding an AI build.
AI architecture · 9 min read
RAG vs Fine-Tuning: Choosing the Right Approach
Understand what retrieval and fine-tuning actually change, where each fits, and why many systems need neither at first.