THE TAKEAWAYS

What to take away

  • Manage execution, quality, exceptions and cost alongside instructions.
  • Define stopping and escalation conditions before work starts.
  • Consolidate deliverables, test results, issues and usage in reports.

EDITORIAL PRACTICE

Define five areas of everyday responsibility

Treating management only as writing prompts leaves review and recovery unclear. Our proposed starting point is to agree the following responsibilities.

An example scope for agent management
WorkQuestion to checkRecord to keep
Instruction designAre goals, inputs and acceptance criteria clear?Task and instruction version
Execution monitoringRunning, completed, stopped or failed?Run ID, timestamp and status
Output reviewDoes the output satisfy the criteria?Deliverables, tests and review reasons
Exceptions and retriesContinue, fix or ask a person?Cause, action and next owner
Cost controlIs usage within the agreed cap?Usage, cost and extra approvals

FROM PRIMARY SOURCES

Official guidance includes human checks and stopping conditions

Anthropic’s agent design guide discusses checking execution results, human checkpoints and stopping conditions such as iteration limits. We use its 2024 design principles here, not its historical product setup.

GitHub’s official guidance also calls for human review and testing of agent-generated work. Delegation still needs an explicit owner for those checks.

Sources: [1][2]

EDITORIAL PRACTICE

Agree when to continue, stop or escalate

Repeated failures, unexpected data requirements and approaching cost caps need an agreed response. Report the reason and options rather than silently extending a run.

  • Retries: the number and conditions for another attempt.
  • Escalation: who handles ambiguity, missing permissions or uncertain outputs?
  • Cost: usage or spending caps and the action when a cap is reached.
  • External actions: approval owners for publication, customer messages, contracts and payments.
  • Handover: records that preserve progress and open issues when ownership changes.

EDITORIAL PRACTICE

Pair completion claims with evidence

For product development, report the change, working environment, checked actions, test results and unresolved issues together. An execution log alone does not prove that a user’s goal has been met.

For a form change, for example, check the agreed cases for successful submission, missing required information, invalid input and duplicate actions. Reproducible evidence makes feedback more specific.

EDITORIAL PRACTICE

Assess an existing agent before delegating it

Review connectivity, limited permissions, data handling, contract conditions, cost and output checks first. Arrange necessary access through an agreed method; do not paste credentials into an enquiry or chat.

Try one workflow and reporting format. Confirm how much monitoring and rework can be delegated while retaining important client decisions, then expand deliberately.

WITH OPERUN.

Delegate everyday AI management.

OPERUN. can discuss development with our AI agents and management of existing agents after reviewing connectivity and responsibility. Tell us the tools you use and the everyday work you want to delegate.

Discuss your product and AI work

Primary sources

Sources checked on Oct 31, 2026. The workflows and checklists are editorial proposals.

  1. [1]
  2. [2]

Share this insight