Engineering Insights
Deep dives on production AI systems, DevOps patterns, and the hard problems we've solved in the field.
pgvector vs Pinecone in Production: When to Choose Each
A practitioner's comparison of pgvector and Pinecone for production RAG systems — sourced benchmark numbers, Pinecone's real pricing structure, and the vector count where each architecture wins.
How to Detect LLM Hallucinations Before Users Do
A practitioner's guide to LLM hallucination detection in production — covering self-consistency sampling, reference-based scoring, RAG groundedness checks, and the quality-gate pattern that stopped regressions in a 10K calls/day voice AI system.
LLM Observability in Production: What to Log and Why
A practitioner's guide to LLM observability in production — the four things to log per call, Langfuse instrumentation patterns, custom quality score tracking, and the alerting layer that catches regressions before users report them.
Private LLMs for Regulated Industries: A Buyer's Guide
A practitioner's buyer's guide to private LLMs for regulated industries — covering the two deployment patterns, what compliance actually requires at the infrastructure layer, and a procurement checklist from a team that shipped air-gapped LLM infrastructure in 4 weeks.
Air-Gapped AI for Fintech and Regulated Finance
Prodinit builds air-gapped AI infrastructure for regulated fintech — private EKS clusters with zero internet egress, Bedrock via VPC endpoint, and compliant CI/CD — from a team that delivered a full production air-gapped stack in 4 weeks.
AI Strategy Consulting for Startups: What It Covers and When to Hire
Prodinit delivers AI strategy consulting for startups: use-case prioritisation, build-vs-buy analysis, LLM stack selection, and a sequenced 90-day roadmap — so your engineering team executes the right thing the first time.
Healthcare AI Development Partner
Prodinit builds production healthcare AI: HIPAA-compliant LLM infrastructure, clinical trial analytics, patient-facing voice agents, and real-time data layers for digital health companies.
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.
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