Hard‑Mind, Soft‑Voice: Execute First, Feel After
Plan, Execute, Analyze, Improve (repeat) TL;DR Decide the frame up front: park emotions, run the plan, debrief after. Be firm inside, kind outside: strict mindset, respectful tone. Works across contexts: endurance events, negotiations, and breakups. The Principle Hard work collapses when emotion floods the system. The goal isn’t to suppress feelings forever; it’s to sequence them. During the event, disable […]
Building Enterprise Agents
A Practical Playbook for Design, Rollout, and Metrics TL;DR — Start with a small set of high-value workflows. Use serverless primitives to control cost, MCP connectors for system access, and a Human-in-the-Loop (HITL) gate for risky actions. Ship via IaC + CI/CD. Prove safety and UX in a pilot/UAT, then scale. Instrument everything: errors → Jira, approvals/rejections → […]
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 […]
Deep Dive: Human‑in‑the‑Loop Orchestration with Step Functions, Lambda & MCP
Building a Secure, Scalable AI Workflow as an AWS Marketplace Offering TL;DR Human‑in‑the‑Loop (HITL) integration adds a critical safety net for AI-driven processes by routing uncertain or high-stakes decisions to human experts. In this blog, we demonstrate our turnkey AWS Marketplace solution that leverages Step Functions to orchestrate the workflow, Lambda functions to execute discrete tasks, and MCP […]
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 […]
QuickSight Quickstart: From Blank AWS Account to Published Dashboards in One Command
The missing link for enterprise Quicksight Development The Problem — Automating QuickSight Is Still Awkward QuickSight is pay-as-you-go BI, but its deployment story lags behind the rest of AWS. A single dashboard hides dozens of interlocked artefacts — data sources, datasets, analyses, themes, RDS/VPC plumbing, IAM policies, and invisible dependencies such as SPICE refresh schedules. […]
Sharper Thinking: Pillars of Logical Arguments
Elevating Consulting with Logical Principles The primary goal of a consultant is to provide the best long-term solutions for customers. Achieving this requires not only technical expertise but also a disciplined approach to evaluating and critiquing solutions. This post outlines ten fundamental principles — adapted from classical logical fallacies — that everyone should follow when […]
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 […]