Autonomous Agents

Software systems that pursue goals over many steps — planning, using tools, and acting with limited supervision. Agents are the form in which AI capability is entering organisations.

Agents turn model capability into action in the world. Their reliability, review and accountability will determine whether they compound value or compound error.

Agents are deployed for coding, research, customer operations and workflow automation. Failures are typically quiet and cumulative. The organisations extracting value have built review and approval into the loop.

Model providers

Agent frameworks and tool-use capabilities.

Enterprise adopters

Deployments, review systems, accountability.

Security researchers

Prompt injection, data exfiltration, sandboxing.

1. 2023–2026

   Tool-using and multi-step agents enter production

• Recent

  Neurazine essay: The Agent Economy Needs an Editor

Tool use, planning, memory, sandboxed execution, human-in-the-loop approval systems.

1. 01How should agent autonomy be bounded?
2. 02Who is accountable for an agent's action?
3. 03How is injection through untrusted content defended against?

Autonomy, not accuracy, has become the central question in AI deployment.

Standards for agent review, incident disclosure and security certification.