5 min read
Where AI Really Fits in POS and E-Commerce Payments
This is part 3 of a series on building grounded AI for payment systems. Part 1 made the case that payments need grounded AI, and part 2 Part 2covered the retrieval pattern that …
17 pages
Llm
5 min read
From Wireless Awareness to Payment Awareness: The RAG Pattern
This is part 2 of a series on building grounded AI for payment systems. Part 1 made the case that payments need grounded AI, not a generic LLM guessing from training data. This …
5 min read
Why Payments Need Grounded AI, Not Just LLMs
This is part 1 of a series on building grounded AI for payment systems. This post sets up the problem. Part 2 covers the retrieval pattern, and part 3 covers the practical use …
9 min read
Multi-Agent Systems Scale Vertically. They Need to Scale Horizontally.
This post continues the ideas explored in Part I: Super Agents and Multi-Agent Communication and Part II: Swarm Intelligence. Those posts covered how agents coordinate within a …
13 min read
Swarm Intelligence: The Opposite Architectural Bet
This is Part II of a two-part series on multi-agent AI architecture. Part I covered the super agent pattern: centralized orchestration, structured communication, and a single …
9 min read
Super Agents and Multi-Agent Communication: Architecture That Actually Scales
This is Part I of a two-part series on multi-agent AI architecture. This post covers centralized orchestration. Part II explores the opposite approach: swarm intelligence. …
6 min read
Why You Should Start Treating Your AI Like a Colleague, Not a Calculator
In a few short years, Large Language Models (LLMs) have moved from research labs into the core of how we work. They are no longer experimental novelties; they shape how we search, …
8 min read
Markov Decision Processes: The Mathematical Foundation of Reinforcement Learning
The Markov Decision Process (MDP) is the standard formal object for sequential decision-making under uncertainty. It separates problem definition — states, actions, how the world …
11 min read
Syntactic Fluency, Semantic Fragility: Why AI Masters Form but Stumbles on Meaning
Your favourite AI can compose a flawless sonnet, generate syntactically perfect ISO 8583 messages, and produce compilable C++ on the first attempt. Ask it whether that ISO message …
9 min read
Reasoning Models and Deep Reasoning in LLMs: Chain-of-Thought, Tree of Thoughts, and Test-Time Compute
Language models don't reason. Not in the way humans do.