OpenAI is developing a new model family, Astra, specifically for "long-running tasks." This marks an evolution from conversational assistants that handle immediate requests to persistent agents capable of working on complex, multi-step problems over extended periods.

Unlike previous models that require constant guidance, GPT-5.5 can operate as a long-running, autonomous agent. It worked for nearly six hours on a complex data migration task, requiring virtually no human intervention to identify issues, propose solutions, and implement them successfully.

An AI agent's primary advantage over a human counterpart is its unwavering consistency. It never forgets to run a campaign, follow up, or check data, leading to superior long-term performance in operational roles that require relentless execution.

Shift from thinking about AI interactions as disposable chat sessions to building persistent, named agents. These agents have their own identity, memory, and tools, allowing capabilities and context to be reused across many different projects over time.

AI agents excel not because they are inherently more intelligent, but because they can exhaustively test possibilities without the cognitive fatigue that limits human performance. This 'relentless tedium' is a superpower for tasks like finding obscure bugs.

The defining characteristic of a powerful AI agent is its ability to creatively solve problems when it hits a dead end. As demonstrated by an agent that independently figured out how to convert an unsupported audio file, its value lies in its emergent problem-solving skills rather than just following a pre-defined script.

The true power of an AI agent is its capacity to handle the mundane, repetitive work that humans—both internal teams and external agencies—often neglect or de-prioritize. SaaStr couldn't find people willing to consistently manage hundreds of follow-ups, a task their AI now handles flawlessly.

The "always-on" nature of agents like Clawdbot enables a new work paradigm. Users can assign complex tasks before sleeping and wake up to completed work, effectively turning sleep hours into productive hours for their digital assistant.

Unlike session-based chatbots, locally run AI agents with persistent, always-on memory can maintain goals indefinitely. This allows them to become proactive partners, autonomously conducting market research and generating business ideas without constant human prompting.