10 articles tagged "gaas reliability".
Agentic AI sold as a service lives or dies on reliability, not raw model quality. The hard part isn't getting an agent to work once in a dem
The smartest agent rarely wins the contract. In Agentic AI-as-a-Service, buyers don't pay for raw capability, they pay for an outcome that
When an autonomous agent fails, the temptation is to patch the prompt, ship the fix, and move on. The teams winning in Agentic AI-as-a-Servi
Agent drift is the quiet erosion of a deployed agent's quality over time, even when nothing in your code changed. It shows up as a slow slid
Public agent leaderboards measure agents under conditions almost nothing like production: clean inputs, generous retry budgets, a single wel
When an autonomous agent makes a baffling decision, the cause is usually not the model and not the prompt you wrote today. It's something th
A new function is forming inside Agentic AI-as-a-Service companies: the eval team. Their job isn't to ship features or close deals, it's to
When OpenAI, Anthropic, or Google has a bad day, your agents do too, but they fail in stranger ways than a website does. An agent doesn't j
The headline agent disasters of this cycle weren't caused by dumb models. They were caused by capable agents doing exactly what they were to
A naive retry loop on an AI agent is one of the most expensive ways to fail. Re-running a failed step with the exact same prompt usually pro