Case Study: Automating Google and Jira Admin Tasks with AWS AgentCore

Executive Summary Administrative tasks in Google Workspace and Jira have consumed hundreds of staff hours for our team each quarter. These tasks — ranging from user provisioning to project setup — were repetitive, error-prone, and often delayed due to backlogs. By building a Slack-first automation interface powered by AWS AgentCore primitives (Gateway, Memory, Identity), we achieved a 90% reduction in admin time for common […]

Culture is the Code

Organizational change, rather than technical performance, will drive successful adoption of Agentic AI. Enterprise software has always carried an implicit theory of organization. Mainframes embodied centralization. ERPs encoded bureaucratic workflows. Rule engines and decision trees promised certainty by reducing ambiguity to fixed logic. These systems were designed for a world that valued compliance, stability, and efficiency over adaptability. […]

Kiro AI IDE vs Cursor AI IDE

Pros, Cons, and Key Differences between two great AI IDEs As AI-assisted development tools continue to evolve, choosing the right IDE can significantly impact your coding productivity and workflow. After extensive hands-on testing with both Kiro AI IDE and Cursor AI IDE, I want to share my detailed comparison and insights to help you make an informed decision. […]

Hybrid Intelligence: Marrying Deterministic Code with LLMs for Robust Software Development

Balancing Rule-Driven Precision with Generative Flexibility   Executive Summary Traditional software, built solely on deterministic, rule-based logic, guarantees reliability and predictability but often struggles to adapt. Large language models (LLMs), by contrast, offer flexibility and cognitive capabilities but can be unpredictable. A hybrid approach — combining deterministic code with LLM-driven reasoning — yields systems that […]

Using Core Concepts of Computational Linguistics with RAG

A super colorful infographic ChatGPT created for this article. How linguistic fundamentals shape the design and performance of retrieval-augmented generation systems In a previous article, I discussed the core concepts of computational linguistics that every language model, big and small, needs to have. This article will discuss the core components of retrieval-augmented generation (RAG) models, show […]

Ship Clean Code Faster: A Pragmatic Guide to Using Cursor Effectively

TL;DR — Cursor can 2× your delivery speed if you install hard guardrails. This guide shows how rule files, checkpoint‑and‑restore, test‑driven development, and ruthless pruning let you bank that speed without inflating technical debt. Why Bother Reading Another AI‑Coding Post? Most “AI pair‑programmer” articles stop at shiny demos. They rarely answer the question architects lose sleep over: How do we prevent the […]

FlyngLlama: Combining Robyn and LlamaIndex for Intelligent Document Analysis

A document-devouring llama with Robyn wings that soars through your data! Performance Optimized Retrieval Augmented Generation Introduction In today’s data-driven environment, organizations are challenged to extract meaningful insights from their vast collections of documents. The ability to quickly locate precise information in sources such as legal contracts, research papers, knowledge bases, and technical documentation is […]

Indexing at Scale: Real-World Lessons from an Amazon Q Business POC

Introduction In today’s data-driven world, the ability to efficiently index vast amounts of information is a game-changer. During our QBusiness Proof of Concept (POC), we at New Math Data embarked on a journey that tested our strategies for handling hundreds of thousands of documents and gigabytes of data — all while ensuring security and accuracy […]

Computer Vision: Image Generator Networks

ChatGPT Generated Understanding of this Article A Look at the Core Concepts and How T2I has Evolved I am a Machine Learning Engineer by trade and a Computer Vision scientist by education, so any use case where computers are trying to learn the wonderful world outside (machine learning), primarily using visual information (computer vision) gives […]

Needle in a Haystack: A Rag Architecture and Use Case for Biotech

AI Acceleration with Pluton Bioscience If you’ve ever had to navigate a complex research process, you likely understand the challenges of sifting through vast amounts of information to find specific, valuable insights. Our partners at Pluton Biosciences have faced similar hurdles in their work. These research processes, while essential for gaining critical knowledge, can be […]