Agents and automations: choose the right level of control.

Describe the task without naming a tool

Write the input, desired output and person responsible. “Sort approved enquiries into three queues” is clearer than “we need an agent.” It lets you evaluate whether a simple rule, an assisted draft or a more flexible system is appropriate.

Separate planning from execution

A system suggesting a follow-up message is different from one sending it. A system finding an invoice is different from one issuing a refund. Define each permitted action and decide which actions need a person’s approval.

Treat incoming content as data

Messages, documents and websites may contain misleading instructions. A workflow should not grant a document authority to change permissions or expose information. OWASP’s generative AI security work is a useful starting point for understanding these system risks.

Build a reviewable activity record

Save the task, approved action, resulting state and error context without logging secrets. Make it possible for an operator to understand what happened. A system that claims success but cannot show the resulting record is difficult to trust.

Compare the operating cost

Include review time, retries, maintenance and provider limits. Start with a narrow pilot and representative failure cases. More autonomous behavior is not automatically a better business result; choose the simplest approach that meets the actual requirement.

Describe the work before choosing a system category

Write the trigger, inputs, expected output and acceptable variation. A task with stable rules and structured inputs may suit a predictable workflow. A task involving ambiguous language may benefit from an assistant that proposes an interpretation. The choice follows the task rather than a fashionable label.

List the consequences of a wrong answer. Rewording an internal note has a different impact from sending an offer or changing a customer record. This distinction helps you decide where a draft is useful and where a person should retain approval.

Define permissions as part of the brief

Specify what the system can read, draft and change. Use the minimum access required for the test and keep live credentials out of prompts, screenshots and shared planning documents. An assistant that can inspect a sample inbox does not automatically need authority to send messages from it.

Give each consequential action an owner and a clear approval point. The plan should also explain how access can be withdrawn. A bounded permission model is easier to review than a broad instruction to handle everything, especially when tools or team responsibilities change.

Test ambiguity and failure deliberately

Prepare examples with missing fields, contradictory instructions, duplicated records and an unavailable service. Define the expected stop or handoff for each. A demonstration that succeeds once on a clean example does not tell you how the system behaves under normal operational uncertainty.

Keep a trace of the inputs used, proposed output and reviewer decision, with sensitive information removed where necessary. Inspect whether the system admits uncertainty rather than filling gaps. The test should reveal when the assistant needs help, not reward it for sounding certain.

Evaluate the operating cost of the whole process

Count review time, error recovery and maintenance alongside any time saved in drafting. A faster first response can be outweighed by a confusing handoff or repeated corrections. Compare the assisted process with a simple baseline before expanding its scope.

For Crea8iv learners, the deliverable is a task specification, permission plan and tested handoff. A diagram containing several agents is not inherently more advanced than a small reliable workflow. Add flexibility only when the task needs it and the team can supervise the resulting choices.