Engineering Insights
Deep dives on production AI systems, DevOps patterns, and the hard problems we've solved in the field.
Testing Voice Agents: Barge-In, Latency and Structured Eval Logs
A practical how-to on testing voice agents for barge-in detection, latency segments, and structured eval logging — including test scenarios, threshold targets, and the eval harness Prodinit runs in production.
Model Distillation for LLMs: Cut Inference Cost Without Losing Quality
A production playbook for LLM model distillation — from teacher-student dataset generation to fine-tuning and eval gates, with a GPT-4.1 to GPT-4o-mini pipeline as the proof.
Self-Hosted LiveKit vs LiveKit Cloud: Cost and Scale Trade-offs
Self-hosted LiveKit vs LiveKit Cloud: when to migrate, what you give up, what you gain, and what operating the self-hosted stack actually requires — from running both in production.
On-Prem LLM Deployment: Ollama, vLLM and NVIDIA NIM in Production
A production guide to on-prem LLM deployment — how Ollama, vLLM, and NVIDIA NIM compare on throughput, GPU sizing, and operational maturity, with a decision framework for choosing a serving runtime.
LiveKit vs Pipecat for Production Voice AI: A Practitioner's Comparison
A practitioner's comparison of LiveKit vs Pipecat for production voice AI — transport, pipeline flexibility, scaling model, telephony, and observability, from running both in production.
HIPAA-Compliant LLM Deployment: Architecture for Healthcare AI
Architecture patterns for HIPAA-compliant LLM deployment — BAA coverage, PHI de-identification with Microsoft Presidio, VPC-private inference, and audit logging from production healthcare AI.
LLMOps Consulting Services: What They Cover and When to Hire
A BOFU guide to LLMOps consulting services — what they cover, when to hire, how consulting compares to in-house, and what an 8–12 week engagement delivers in practice.
How to Evaluate Voice AI Agents: Metrics Framework and Tooling
Five-layer voice AI evaluation framework: latency by stage, WER, barge-in handling, response quality, and call outcome rate — with Langfuse instrumentation and CI testing patterns.
LLM Evaluation Rubric: A Production Scoring Template
A practitioner's guide to designing LLM evaluation rubrics that hold up in production — five scoring dimensions, a ready-to-use judge prompt template, calibration steps, and CI gate thresholds.
How to Give an AI Voice Agent a Phone Number with Cloudonix
How to connect VAPI, Retell, and ElevenLabs voice agents to the public phone network with Cloudonix SIP trunking — the cx-vcc CLI, inbound routing, outbound BYOC, and passing data via SIP headers.
Self-Hosting LiveKit at Scale: Architecture from 90K+ Calls/Month
The complete production architecture for self-hosting LiveKit — standalone server, Python agent workers, LiveKit Egress on ECS, and multi-metric autoscaling from a team running 90K+ calls/month with five selectable AI pipelines.
Cloudonix Core Concepts: CXML, Sessions, and Building Voice Agents
What CXML, sessions, the Converse verb, and Cloudonix's SDKs actually are — and how the pieces fit together to build a production voice agent on the Cloudonix platform.
Air-Gapped LLM Deployment: Run Private Models with Zero Egress
A practitioner's guide to air-gapped LLM deployment — the two architectures that work (self-hosted open-weight models vs Bedrock via VPC endpoint), GPU sizing, model ingestion, and the security controls regulated buyers require.
Connect LiveKit to the Phone Network with Cloudonix SIP Trunking
A practitioner's guide to connecting a self-hosted LiveKit voice stack to the public phone network with Cloudonix SIP trunking — SIP URI registration, CXML inbound routing, outbound BYOC, and the SBC work you skip.
AI Engineering Consulting Startups: What They Are and When to Choose One
A definition guide for CTOs evaluating AI engineering consulting startups versus large agencies — covering what they build, how they differ, when to choose one, and what to look for before signing.
RAG Pipeline Chunking Strategies: Split Documents for Better Retrieval
A practitioner's guide to RAG pipeline chunking strategies — covering fixed-size, semantic, structural, and hierarchical approaches with chunk size guidance and a decision matrix for each corpus type.
How to Hire AI Engineers in 2026 (Build vs Partner)
A decision framework for CTOs and engineering leads evaluating whether to hire AI engineers in-house or partner with an AI engineering firm — covering salary benchmarks, hiring timelines, delivery speed, and when each path wins.
LLMOps in 2026: AI Demo to Production Guide
A 2026 LLMOps guide for teams stuck at the demo stage — the six-layer production stack (serving, evals, observability, CI/CD, cost control, governance), a phased rollout, and the mistakes that keep AI systems out of production.
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