Notes from the AI frontier
Playbooks and field notes on shipping production AI across every industry.
What AI-first engineering actually means in 2026
Why the winning teams design around models from day one — and how to tell hype from real leverage.
Read articleRAG that survives production: grounding, evals & guardrails
A practical blueprint for retrieval systems that stay accurate once real users show up.
Read articleShipping HIPAA-ready clinical AI without slowing down
How to build compliant imaging and NLP pipelines that clinicians actually trust.
Read articleThe real cost of an AI MVP — and how to cut it
A transparent breakdown of what a production-grade AI MVP takes, and where teams overspend.
Read articleVoice AI agents that don't sound like robots
Latency, turn-taking and grounding — the details that make a voice agent feel human.
Read articleFraud detection you can explain to a regulator
Building anomaly models with the transparency and audit trail compliance teams demand.
Read articleRecommendation engines that actually lift revenue
Moving past 'customers also bought' to real-time personalisation that pays for itself.
Read articleAdaptive AI tutors that actually help students learn
Personalised learning that adapts to each student without replacing the teacher.
Read articleMLOps that keeps your models honest after launch
Monitoring, retraining and rollback — the unglamorous work that keeps AI reliable in production.
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