Field notes from SSG services and building Agentic AI applications and native mobile apps.
AI Agents, LMS and TMS case studies from the Tertiary Infotech Academy.
Corporate Agentic AI with n8n Training for Qualcomm
Case study: a 3-day corporate agentic AI with n8n training for 15 Qualcomm operations staff from 2–4 June 2026 — covering automation, AI agents, webhooks, RAG and multi-agent systems, with six working artefacts shipped in class.
Agentic RAG vs Classical RAG: Accuracy vs Speed
Classical RAG runs one linear retrieve-then-generate pass; agentic RAG adds a verify-and-retry loop that re-retrieves until the answer is grounded. Slower, more accurate — here's when each wins.
Improve AI Chatbots with Retrieval Augmented Generation (RAG) — 2026 Guide
RAG is the difference between a chatbot that hallucinates and one that answers from your real documents. Here is how to deploy RAG inside an LMS, a TMS, or a Singapore-specific customer-service workflow.
Improve Customer Service with AI Chatbots — A 2026 Singapore Playbook
Modern AI chatbots — RAG-backed, sentiment-aware, integrated into support systems — are a different category from the rule-based bots of 2022. Here is how Singapore service teams deploy them without the usual failure modes.