How can you see what an AI agent did while you were away?
To see what an AI agent did while you were away, you need a clear session history that records each action, its timing and cost, and even the sessions that failed or were skipped. GROX jobs keep a complete record: when each session ran, what it did, what it cost, and the reason for any skipped or failed run. These reports are built from what actually happened, not just a modelβs description.
Why is a session history important for AI agents?
A session history is essential for understanding what your AI agent has done, especially when it acts autonomously. Without a trace of each work session, it becomes difficult to verify results, spot failures, or review costs. Skipped or failed runs should leave a record as wellβotherwise, you could miss problems like depleted credits or access issues.
A reliable session log also helps you improve how you use the agent. By seeing not just what succeeded, but what was skipped or failed (and why), you can adjust goals, credit limits or routines. This transparency is especially important for tasks that happen out of sight.
| Approach | Session Log | Skipped Runs | Cost Tracking |
|---|---|---|---|
| Manual tracking | User notes only | Often missed | Manual |
| Basic agent UI | Shows recent actions | May omit skipped | Limited |
| GROX | Full session history | Skipped/failures with reason | Each session |
- Session
- A single run of an agent working on a goal, with a start and end time.
- Skipped Run
- A scheduled session that did not run, with the reason recorded.
- Cost
- The credits or resources used for a session, shown in the history.
- Autopilot
- A mode where the agent works through tasks without manual approval, within limits.
How does GROX record and display what it did while you were away?
Jobs in GROX keep a history of every work session for each standing goal. Each entry notes when the session ran, what it did, and what it cost in credits. If a session was skippedβsuch as when the day's credit limit was reachedβthis is recorded with the reason in plain words.
You can review the session history from within the job: each session, skipped or completed, appears in order, including a note for any session that was missed. The report is built from the actual work done, not just a summary from a model.
- Session log: when each session ran
- Actions taken: what was done in each round
- Cost: credits used per session
- Skipped sessions: with the reason (such as daily credit cap reached)
- Complete history: including failed attempts
What are the benefits of reporting from what actually ran, not just model summaries?
Reporting from what actually ran means you get an accurate, factual record of actions and outcomes. Model summaries can introduce errors or omit details, especially if a session was interrupted or nothing happened. By building reports from execution logs, you see what was attempted, what succeeded, and what failedβmaking it easier to audit or troubleshoot.
This approach is also important for trust: when you know the report is based on actions, not just the agent's own description, you can rely on it for business or compliance purposes. Skipped runs must leave a trace to show why a task was not completed.
| Reporting Method | Reliability | Details Included | Missed Runs |
|---|---|---|---|
| Model summary | Variable | May skip steps | Often missed |
| Execution log (GROX) | High | All actions and costs | Always recorded |
What steps do you take in GROX to view a jobβs session history?
To see what was done while you were away, open the job on GROXβs panel beside the chat and press History. Every work session is listed there, in order. Each one says when it ran, what it did, what did not work, what needs you and what it cost. If a session was skippedβsuch as when the daily limit was reachedβit appears in the list with a plain-language reason.
Each session ends with notes the next one starts from, so the history reads as one continuous record. This gives you a clear audit trail without needing to reconstruct events from chat logs or summaries.
- Job
- A standing goal given to GROX, with its own session history.
- Session Report
- A detailed record of what happened in one run.
- Skipped Session
- A session that did not happen, with the reason shown.
- Audit Trail
- A sequence of reports showing all attempts, actions, and missed runs.
Common questions
How do I check what my GROX agent did while I was away?
Open the job you set in GROX. The session history lists every run, including actions taken, when they happened, what they cost, and any skipped sessions with the reason in plain words.
Does GROX record failed or skipped sessions?
Yes, every session is recorded, including those that were skipped or failed. If a session was not run, the reasonβsuch as reaching the daily credit limitβis shown in the history.
Are session reports in GROX based on what actually ran?
Reports in GROX are built from what actually ran, not just a modelβs summary. This means you get an accurate record of what was done, what failed, and any costs or skipped runs.
Why is it important for skipped runs to leave a trace?
Skipped runs must be recorded so you know why an expected action did not happen. This helps with troubleshooting, auditing, and understanding how your agent is working within set limits.
To explore GROX and see how session histories work in practice, visit grox.life.