Engineering Insights
Deep dives on production AI systems, DevOps patterns, and the hard problems we've solved in the field.
Building Production Voice AI Agents: Latency, Architecture, and What Nobody Tells You
Why voice AI agents fail in production has nothing to do with model quality — it is the architecture. A complete guide to latency budget, WebRTC transport, LiveKit SFU, security, and observability for voice AI at 2000+ calls per day.
How to Evaluate LLM Outputs: Building Evals That Actually Catch Regressions
A hands-on guide to building LLM evaluations that catch silent regressions — the three failure modes of naive evals, the four-layer eval stack, golden dataset rot, LLM-as-judge bias, and how to wire evals into CI.
Resource Planning for AI Development Teams: A Practical Guide
A practical guide to resource planning for AI consulting and development teams — covering role composition, capacity planning across simultaneous engagements, hiring vs. contracting decisions, and retaining AI talent.
How to Estimate AI Development Timelines Without Overpromising
A practical guide to estimating AI development timelines — covering work decomposition, buffer calculation, the five most common AI estimation traps, and how to communicate estimates without overpromising.
How to Manage AI Consulting Projects That Actually Deliver on Time
A practical guide to managing AI consulting engagements from scoping to handoff — covering discovery phases, sprint planning, scope control, and leadership principles that keep complex AI projects on track.
How to Deploy on Air-Gapped AWS EKS for Regulated Financial Services
A practical engineering guide to deploying containerized applications on AWS EKS inside a fully air-gapped VPC — covering network isolation, private registries, CI/CD pipelines, and secrets management for regulated financial services environments.
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