What should an AI agent record in an action history
A useful career-agent action history should explain what was proposed, authorized, attempted, and confirmed. Evaluate whether the record lets you understand one consequential action without mistaking system activity for a completed real-world result.
Separate the stages of an action
Imagine a hypothetical career agent preparing an application for a verified opening. The system creates a draft, waits for approval, attempts submission, and receives a confirmation. These are different events. An activity history that says application processed cannot show which stage actually happened. The proposed design exercise starts by giving each consequential state a clear meaning that a user can understand and investigate.
Distinguish preparation, authorization, execution, and evidence of completion. A queued action is not an attempted one, and an attempted one is not necessarily successful. NIST's AI governance framework provides general context for responsibilities and oversight; it does not specify a career-agent event schema. The workflow here is an original evaluation proposal, not a claim that a particular service already records or exposes every field described.
Preserve the object and version
In the example, the history identifies the employer, role identifier, destination, and the resume version selected for submission. If the user edits the resume later, the record should still make clear which version belonged to the earlier action. Without that connection, an attractive timeline can leave the user unable to explain what information was actually sent or distinguish two similar openings at the same company.
Use identifiers and references that are meaningful without unnecessarily duplicating sensitive material in every event. The history may need to point to a controlled artifact rather than store full document text in a general activity feed. Evaluate access and retention appropriate to the actual system. This guide proposes questions for review; it does not prescribe a universal storage policy or determine the legal obligations of a service handling personal information.
Connect permission to the actual attempt
The hypothetical user approves an application draft for one destination. The history links that approval to the version and action attempted. If the destination or material content changes, the system should not represent the earlier approval as approval of an unrelated action. The important evaluation question is whether permission can be understood in context, rather than whether a generic approved badge exists somewhere on the user's account.
Record the applicable boundary and who or what supplied the authorization in a way consistent with the actual product model. Do not assume every useful record requires exposing internal prompts or credentials. A user needs a clear explanation of the action and its scope. The system's implementation can vary, but an evaluator should be able to distinguish a user instruction, an agent proposal, and a consequential action carried out under that instruction.
Keep outcomes evidence-based
Suppose the submission attempt times out after information may have reached the destination. The record should preserve an uncertain outcome instead of calling it complete or automatically retrying without checking for a duplicate. A later confirmation can resolve the uncertainty. This example highlights why a local process finishing successfully is not always evidence that an external application was accepted or that the employer received the intended materials.
For each outcome, ask what observation supports it and where a user can inspect the relevant confirmation. Preserve the distinction between system-reported status and independent destination evidence. If the system cannot verify completion, make that limit visible. A record can help prevent confusion without guaranteeing delivery or employer response. The useful standard for the exercise is an explainable chain of events, not a reassuring total of activities performed.
Make correction and review understandable
The user notices the wrong resume version in a prepared action. If it has not been sent, the agent may be able to cancel or revise the pending step. If it has already been transmitted, deleting an activity entry does not undo the external event. The history should help distinguish those situations and explain the next available action without implying that every effect can be reversed.
Evaluate the actual service for the controls and records it offers today. Ask whether you can review relevant events, understand unresolved outcomes, and correct the underlying information for future actions. This original worksheet does not certify a product's auditability, security, or compliance. It provides a concrete way to examine whether an action history supports informed oversight rather than turning preparation, attempts, and confirmed outcomes into one misleading activity count.
What should an AI agent record in an action history — search decision exercise
| Question to resolve | Worked example (hypothetical) | My evidence / next action |
|---|---|---|
| Stages | Drafted, approved, attempted, confirmed | Define each state separately |
| Object | Role and resume version attached to submission | Preserve meaningful references |
| Permission | Approval applies to one version and destination | Link authorization to the actual attempt |
| Outcome | Timeout leaves external submission uncertain | Seek evidence before retrying |
| Correction | Canceling a draft differs from recalling a sent item | Explain available action and limits |
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