Sunil Ramlochan
Bridging AI theory with Practice and Implementation
Stop Letting Automations Trip Over Themselves: The ACE Framework For Durable AI Workflows
A practical guide to the ACE framework for automation reliability. Learn how to split work into Aim, Coordinate, and Execute so you can move faster, cut MTTR, and keep audits and on-call simple.
Agents At Work: The 2026 Playbook for Building Reliable Agentic Workflows
A practical guide to agentic workflows: what agents really are, how to design them for speed and reliability, where they beat static automations, and how to make them production ready with structured outputs, guardrails, and verification.
From hype to revenue: 7 non-negotiables for a production-grade agentic workflow
Modern AI agents can demo beautifully and disappoint in production. If you want real customers and real revenue, your workflow needs real engineering. Here's seven non-negotiables we see in teams that ship agentic systems with confidence, plus concrete practices and links to credible guidance.
AI ‘Dark Matter’ - Using Verifiable Reasoning Chains and Inverse Search
Instead of using LLMs to regurgitate facts, what if we used them to reconstruct the reasoning behind the facts?
Client Zero to Industry Hero - Inside IBM’s Playbook for Automating HR and Scaling “Digital Workers”
How IBM automated 94% of transactional HR, cut HR spend by 40%, and removed $3.5B in cost, then turned internal experts into revenue. A step-by-step playbook you can adapt.
Marginal Skills Won't Survive AI - Use this Framework to Bullet Proof Your Work and Career
the hard part moved from “how to do the work” to “what’s worth doing,” and “how to know if it worked
Harnessing Generative AI for Proactive Trend Forecasting: A Strategic Guide
Trend analysis and forecasting are some of the most exciting uses of LLMs and Generative AI. This reports proposes a framework of just how to perform this with consumer accessible, and friendly tools.
Sudden Leaps - Why Supervised Fine-Tuning Feels Like Evolution’s Punctuated Equilibrium
Supervised fine-tuning in large language models causes sudden, transformative leaps in reasoning abilities, much like evolutionary punctuated equilibrium, rather than gradual improvement.
Integrating Domain Expertise with AI - A Strategic Framework for Subject-Matter Experts
A strategic framework for domain experts to integrate AI into their workflows, enhancing decision-making and driving innovation through collaboration and continuous learning.
Non-Technical Experts Poised to Lead AI Innovation as No-Code Tools Empower Industry Professionals
Explore why non-technical domain experts will drive the future of AI, as No-Code platforms and AI literacy break down barriers, making AI accessible and valuable across industries.
MCP - The Secret Sauce of AI Agents and Automation
Meet MCP—the Model Context Protocol—your AI’s new best friend. It’s not magic, just better architecture. Here’s a breakdown of what MCP really is (minus the hype), how it works, and why it’s about to become the foundation of AI automation.
The Dark Side of GPT-4o Image Generation - When Hype Meets Reality
Explore the flaws and frustrations of the GPT-4o image generator, from slow generation times to censorship limits and more. Discover the hidden challenges behind the tech hype.
The Strange Loops of Generative AI
They (AI) weren’t trained to find truth; they were trained to continue a pattern. It’s like giving someone half a crossword puzzle and asking them to finish it—not by solving it, but by guessing what kind of answers usually go there.
Stop Selling AI Tools: Start Solving Business Problems - The Only Play That Wins in 2025
Right now chatbots are cheaper than fast food, selling AI in 2025 is a race to the bottom. Discover why solving real business problems, not hawking tools, is the only way to close six-figure deals in a saturated market.
The Last Year of Human Supremacy - How to Think When AI Does Everything Else
2025 is shaping up to be the last year humans can outperform AI in software engineering. As AI eats up one-dimensional skills, our only hope lies in mastering agency, leverage, and ruthless simplification. Here's how to survive (and thrive) when thinking becomes the only high-value skill left.
AI Is Eating StackOverflow’s Lunch — And That’s Okay
Are junior devs getting dumber with AI, or are they just learning smarter? Let's dissect the old-school coding nostalgia and explore why AI-assisted programming might be creating better, not worse, developers.
The Dark Art of AI Benchmarking - Why Performance Metrics Might Be Deceiving You
Discover the hidden dangers of AI benchmarking, from rigged performance tests to the race for dominance in the AI industry. This post uncovers the dark side of AI performance metrics and what it really means for the future.
DeepSeek’s Open-Source Flex - How They Redefined AI Economics
DeepSeek just flipped the AI industry on its head—open-sourcing eight game-changing repositories, slashing AI costs, and redefining how models scale. Oh, and they casually maintain an 84.5% profit margin while doing it. Here’s how they did it.
Human-Proof Business Strategies That AI Can't Kill
As AI advances in 2025, businesses must leverage human strengths to remain competitive. Learn five powerful "human-proof" strategies that AI can’t replicate, from emotional intelligence to artisanal craftsmanship.
The Future of News? Italy’s First AI-Generated Newspaper Shakes Up Journalism
Italy’s Il Foglio just made history with an all-AI-generated newspaper edition. Is this the future of journalism or the beginning of its downfall? Let’s break down the implications of this bold experiment.
