Building AI Agents That Actually Work: Why Foundation Matters More Than Features
The AI agent hype cycle is in full swing. Every vendor promises autonomous systems that will revolutionize your business. Most will fail - not because the technology isn’t ready, but because organizations are building on sand instead of rock.
After leading automation initiatives and implementing multi-agent systems in production environments, I’ve learned a hard truth: the organizations that succeed with AI agents aren’t the ones with the fanciest models. They’re the ones who did the boring work first.