Agent Engineering
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.
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 Death of SaaS? AI Agents Are Taking Over with Smarter Pricing
AI Agents are outpacing traditional SaaS models with flexible, scalable pricing strategies. Learn how Microsoft, Cursor, and other tech giants are redefining software economics with platform-based, agent-based, and outcome-based pricing.
Autonomous AI Agents and the Future of Work
Explore a comprehensive framework for integrating autonomous AI, covering adoption strategies, ethical standards, skill development, and societal impact to thrive in an AI-driven world.
The Overuse of "Agents" in AI - Why It's Time for a Reality Check
"Agent" has become the buzzword in AI, but is it hindering innovation? Discover why focusing on prompt engineering and workflow customization is the real game-changer in AI.
Functional Inference Synthesis: The Future of Development & Prompt Engineering
Functional Inference Synthesis, Functional LLMs, and Generative AI Networks (GAINs) are revolutionising application development and deployment, offering unprecedented efficiency and adaptability.
What are Agentic Networks?
Agentic Networks: Collaborative AI systems where multiple agents dynamically interact and share resources to perform complex tasks with centralized coordination and real-time adaptability.
When Will AI Agents Actually Solve Hard Problems for Companies?
Explore the future of AI agents in industry, their current capabilities, and the challenges ahead. Discover when AI agents will truly solve hard problems for companies.
Multi-Agentic Workflow Design using GAINs and HCINs
Explore our innovative framework Designed for robustness, scalability, and intelligent multi-agent collaboration, it enhances usability and operational efficiency in deploying language models.
The Importance of Role Playing in Agentic Workflows
Make AI interactions smoother and more effective. Learn how role-play lets AI agents adapt to your needs, offering better customer service, education, and more.
Goal-Oriented vs Process-Oriented Prompting in Large Language Models
Goal-oriented prompts unlock more powerful results from AI language models compared to process-oriented prompts. Learn why and see examples and tips for effective prompting.
Emotional Prompting in AI: Transforming Chatbots with Empathy and Intelligence
A discussion on how emotional prompting can create more engaging, empathetic, and human-like interactions with AI & ChatBots. Learn about the key considerations, ethical implications, and future directions of this cutting-edge technology.
Agentic Workflows: The Power of AI Agent Collaboration
Discover the potential of Agentic Workflows, an innovative approach to AI collaboration that leverages specialized agents, advanced prompt engineering, and iterative processes to tackle complex problems and drive technological innovation.
Groundbreaking Nature Study Reveals AI's Ability to Predict Public Figures' Perceived Personalities
Can a machine learn how people perceive public figures? A new study suggests AI can predict personality traits with surprising accuracy, just by analyzing text. We explore the implications and what it means for the future.
Guiding AI Conversations through Dynamic State Transitions
This article explores state machines in AI conversations, analyzing their evolution in guiding transitions, implementation in prompt engineering, and future capabilities in dynamically generating personas.
Distinguishing Between Chains, Agents and Generative AI Networks
This article explores Generative AI Networks (GAINs) - chains of interconnected AI agents that collectively solve complex problems with scalability, expertise, and resilience.
AI-Enhanced Coding Tools - Aider & Autogen
In this review I took a look at two of the leading AI - Coding tools. I'm not. coder by any means but I do make a few snippets here and there. These are my initial thoughts.
What is Artificial General Intelligence?
Artificial general intelligence (AGI) is making waves, but is the likes of ChatGPT really close to achieving it? We define AGI, evaluate progress, and debate implications as this frontier technology nears.
Hierarchical Collective Intelligence Networks (HCIN)
Beyond the limits of solitary intelligence, a new frontier is emerging in AI - one powered not by individual models, but by expansive collectives of specialized agents working together in symbiotic coordination. Welcome to the dawn of emergent cognition.
OpenAI's GPTs Bring AI Agent Creation to the Masses
As others chase AI hype, were you devoted to honing prompt craft? Don't just build OpenAI wrappers. Master the art of prompt engineering. GPTs are a glimpse into the future.
