Anthropic’s Sonnet 4.5 launch made a striking claim about sustained autonomous coding and paired it with benchmark results. The useful reporting question is how long-running work changes the burden of verification.
Duration is not reliability. A system that can continue for hours also has more opportunities to compound a bad assumption. Long-horizon agents need checkpoints, tests, rollback and a human who can tell whether progress is real.
n8n’s new Agents feature lets a model choose among workflows and connected tools, while keeping credentials and approvals inside the automation platform. The design puts a familiar workflow layer between an AI system and business operations.
An agent that works for minutes or hours does not merely need a better prompt. It needs a handover protocol: a durable account of what it was asked to do, what it tried, what remains uncertain and who can take over.
OpenAI’s Agents API turns a familiar promise into a managed service: developers can now build cloud agents that run code, work with files, create artifacts and coordinate subagents inside environments provisioned by OpenAI.
