Reducing LLM API Costs by 30% Through Strategic Text Preprocessing
Discover our empirical research on stopword removal cutting LLM input token costs by 30% while preserving up to 96% quality in RAG.
Setting Up Your First AI Team: A Leader’s Guide to Hiring, Structuring, and Outsourcing
A practical guide for modern business leaders on how to build, structure, and scale their first AI team with in-house and external resources.
AI in High-Stakes Industries: Lessons from Healthcare and Compliance
Discover how leading healthcare and regulatory firms responsibly adopt AI by prioritizing safety, human oversight, and verifiable trust in high-stakes industries.
Engineering Determinism: Practical Strategies for Reliable LLM Applications
Discover how engineering determinism transforms LLMs from unpredictable generators into reliable, production-ready systems.
The Geometry of Reasoning: A Technical Essay
How do different neural systems trained on different modalitiesconverge toward similar internal representations? Discover the math behind.
Insights from our CEO: Keeping a Career in Software Relevant in the Age of AI
Dive into Padraig Coffey’s keynote on navigating an AI-driven software career and discover the vital skills to future-proof your job.
The Subtle Truth About Determinism and Variance in LLMs
Let’s deconstruct the myth of “randomness” in LLMs to get a technically grounded view – demonstrating engineered determinism.
Context Engineering: State-of-The-Art Research
A practical industry report on context engineering—combining retrieval, memory, tools, and prompt design to scale and govern LLM and agent systems.
Is Your Data AI-Ready? 3 Realities from Tech Leaders
AI adoption is accelerating, but is your data ready? Tech leaders reveal 3 realities, and only 29% are “very well prepared.”
Why Your AI Initiative Needs “Failure Criteria”
Discover why defining “failure criteria” is essential for successful AI initiatives. Build an AI strategy that prioritizes long-term value.