AI Engineering
From Prototype to Production: AI Observability Basics
The minimum observability stack for AI features: quality signals, cost telemetry, safety flags, and alert design.
•1 min read
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AI Engineering
AI Engineering
RAG Evaluation Framework for Small Product Teams
A repeatable framework for evaluating retrieval quality, citation reliability, and answer usefulness in production RAG systems.
•1 min read
AI Engineering
AI Governance Checklist for Startups in 2027
A practical AI governance checklist for startup teams: policies, data controls, model monitoring, and rollout guardrails that still let teams ship quickly.
•1 min read
AI Engineering
10 AI Prompts for Beginners Building Real Products
AI prompts for beginners that help non-technical builders plan, debug, and launch real products with practical scope, checkpoints, and quality control.
•3 min read
AI Engineering
Build With AI Without Coding: What Non-Technical Builders Should Own
Build with ai without coding by owning scope, prompts, workflow, and release habits. A beginner path to launch practical products with clear expectations.
•3 min read
AI Engineering
Multi-Agent Systems: Why One AI Isn't Enough
Why we built MDFit Nova-Sonic with 5 specialized agents instead of one general-purpose model, and what we learned about agent orchestration.
•6 min read
AI Engineering
The State of Generative AI in 2026: What's Real and What's Hype
A grounded look at where generative AI actually delivers value in 2026 and where the industry is still overpromising.
•7 min read