Skip to main content
Insights

Technical perspectives from people who ship AI.

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

Articles

Featured article
Rent First, Hire Later: A Founder's Framework for Building an AI Team

Rent First, Hire Later: A Founder's Framework for Building an AI Team

Pedro NogueiraAUG 19, 202612 min read
Stylized document with redacted text lines and a verification stamp on a coral background, titled Guardrails for Production Document Processing.
document processingllm engineering

Guardrails for Production Document Processing: A Technical Guide

David BresslerAUG 06, 202620 min read
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