Error Handling in Multi-Agent Systems: Lessons from Production
How I handle failures across 50 AI agents in production without losing data or breaking workflows.
From Telco Deputy Director to AI Builder: Why I Made the Jump
After 25 years in ICT and a Deputy Director role at Ooredoo, I left to build AI systems full-time. Here's the real story behind the decision.
The Research Agent That Saves Me 5 Hours a Week
My research agent cross-references sources, flags contradictions, and delivers briefings. Here's how I built it and what it actually does.
What Clients Actually Want from AI (It's Not What You Think)
After 50+ client conversations about AI, I learned that what clients ask for and what they actually need are rarely the same thing.
Giving AI Agents Tools: MCP and the Future of Agent APIs
MCP lets AI agents use tools through a standard protocol. Here's how it works in practice and why it changes how I build agents.
The Mistake That Cost Me a Week: Why Agent Testing Matters
I skipped testing an agent update and lost a week fixing the fallout. Here's what went wrong and the testing process I use now.
How I Automated Invoice Generation for Two Companies
Invoicing across two companies, two countries, and two currencies used to take hours. Here's how AI agents handle it in minutes.
Positioning Your AI Consultancy: Stop Competing on Price
Most AI consultancies compete on hourly rates and lose. Here's how to position on value instead and attract clients who pay for outcomes.
Context Windows Are the Bottleneck Nobody Talks About
Context window limits shape every decision in multi-agent AI systems. Here's why this constraint matters more than model choice.
