Insights

Technical perspectives from people who ship AI.

Practical guides, production lessons, and hiring intelligence from the Eventum team — grounded in real client engagements.

Featured article

Hiring for AI Delivery: When the Bottleneck Is MLOps, Not ML Engineering

Hiring & VettingMLOps

Hiring for AI Delivery: When the Bottleneck Is MLOps, Not ML Engineering

Pedro NogueiraJUL 07, 202612 min read

Why AI Hiring Takes So Long and How to Fix It Without Lowering the Bar

Hiring & Vetting

Why AI Hiring Takes So Long and How to Fix It Without Lowering the Bar

Pedro NogueiraJUL 07, 202614 min read

Inside Eventum’s AI Talent Vetting Process

Hiring & Vetting

Inside Eventum’s AI Talent Vetting Process

Pedro NogueiraJUL 07, 202612 min read

Here’s How to Hire a Great ML Engineer

Hiring & VettingML Engineering

Here’s How to Hire a Great ML Engineer

Pedro NogueiraJUN 23, 202612 min read

How Eventum Approaches Project Rescues: Saving Internal Budgets

Project DeliveryEvaluation & Testing

AI Project Rescue: How to Stabilize a Brittle Prototype

Pedro NogueiraJUN 16, 202612 min read

Eventum’s Guide to Successful AI Agent Deployment

AI AgentsEvaluation & Testing

The AI Agent Launch Readiness Playbook

Pedro NogueiraJUN 15, 202612 min read

Eventum’s Approach Towards Reliable LLMOps

MLOpsLLM Engineering

The LLMOps Playbook for Production AI Applications

Pedro NogueiraJUN 14, 202614 min read

Eventum’s Playbook for Production-Ready RAG Systems

RAGLLM Engineering

What Makes a RAG System Production-Ready

Pedro NogueiraJUN 11, 202612 min read

Diagram of an AI discovery sprint turning a vague AI initiative into a scoped roadmap, with steps for problem framing, workflow mapping, data readiness, risk assessment, and delivery planning.

Project DeliveryDiscovery Sprint

How We Run Discovery for AI Initiatives

Pedro NogueiraJUN 11, 202612 min read

What a Strong Machine Learning Engineer Looks Like in 2026

Hiring & VettingML Engineering

What a Strong Machine Learning Engineer Looks Like in 2026

Pedro NogueiraJUN 08, 202614 min read

How to Evaluate LLM Assistants Before They Reach Production

Evaluation & TestingLLM Engineering

How to Evaluate LLM Assistants Before They Reach Production

Roman TezikovJUN 01, 20268 min read

Eventum’s Guide to Mastering RAG: Chunking Done Right

LLM EngineeringRAG

Eventum’s Guide to Mastering RAG: Chunking Done Right

David BresslerMAY 18, 20253 min read

Top 10 Tips for Cutting Costs in ML Systems

MLOpsCost Optimization

Top 10 Tips for Cutting Costs in ML Systems

MAR 24, 20257 min read

Three Breakthroughs That Shaped the Modern Transformer Architecture

LLM Engineering

Three Breakthroughs That Shaped the Modern Transformer Architecture

David BresslerFEB 12, 20259 min read

Summary of DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

LLM Engineering

Summary of DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Erik GafniJAN 29, 20253 min read

How to Build a Market Leading AI Product: Strategies for Hiring Elite ML Teams

Hiring & Vetting

How to Build a Market Leading AI Product: Strategies for Hiring Elite ML Teams

Erik GafniJAN 01, 202512 min read