AI Infrastructure
← Writing

AI agents as infrastructure risk

Once agents use tools, the risk surface moves from text generation to operational control. That makes logging, permissions, containment, and failure recovery infrastructure problems.

PlannedAutonomous Agent RiskPlanned

Thesis

Once agents use tools, the risk surface moves from text generation to operational control. That makes logging, permissions, containment, and failure recovery infrastructure problems.

Outline

  1. 01
    Agents as operators

    How tool use turns model behavior into system action.

  2. 02
    Infrastructure failure modes

    Credential misuse, runaway loops, stale memory, action ambiguity, and partial execution.

  3. 03
    Reliability contracts

    What agent platforms should guarantee before touching production-adjacent systems.

  4. 04
    Observability requirements

    Minimum traces needed for incident review and rollback.

  5. 05
    Eval implications

    How public eval harnesses can measure infrastructure risk without unsafe demonstrations.

Status

Planned

This roadmap page frames the planned essay and remains intentionally non-confidential and public-source oriented.

Public framing

This roadmap page frames a planned piece and remains intentionally non-confidential and public-source oriented.

Writing indexThe Observability Stack