When an AI task finishes, the real work begins: verifying what happened. A new tutorial from DEV.to author Ali Chherawalla details how to use Off Grid AI Desktop (OGAD) to automatically generate a 'completion brief' when web or computer tasks end. The guide, published on October 13, 2026, emphasizes that an ended task is not automatically a successful one, urging users to rely on evidence rather than cheerful completion messages.

Setting Up the Pro Event Trigger

To get started, you need OGAD with the Pro event trigger enabled. The tutorial specifies using the trigger 'When a web or computer task finishes.' This setup allows the 'God' routineβ€”a core component of OGADβ€”to intercept the task completion event and prepare a summary in a conversation. The author warns that this routine depends on the app receiving the task event while the system is available, and it does not move execution to another computer.

Defining a Useful Completion Summary

The core of the tutorial is defining what a 'useful' summary looks like. Chherawalla recommends a template that includes the original goal, final reported status, completed steps, output locations, and unresolved items. For example, a web comparison task should yield a table and source links, while a file task should report the saved path and specific changes. Crucially, the summary must separate completed work from failed, cancelled, or unverified work to prevent hallucinated successes.

Configuring the God Routine

Users are instructed to open God settings, expand 'Scheduled tasks,' and add a new task named 'Task completion brief.' The instruction field should contain a strict prompt, such as: 'Summarize the task that just ended. State its goal and reported final status. List confirmed outputs and where to inspect them.' The author advises against letting this routine start new tasks or send summaries elsewhere, keeping the response focused on reporting rather than acting.

Testing and Verification Best Practices

Before relying on automation, the tutorial suggests testing with a 'harmless task,' such as reading known pages. Users must verify that the summary's task identity and status match the original task card. The guide includes a diagnostic table for common issues, such as missing summaries or delayed responses, pointing to checks like routine enablement and event reception. It also warns that if multiple tasks end near each other, the summary might confuse them, so unique project names are essential.

The Importance of Manual Checks

The article stresses that a natural-language claim cannot substitute for checking the actual output. For image jobs, inspect the file; for spreadsheets, open the workbook. The author notes that partial progress should be labeled accurately, such as 'Three of five pages reviewed,' rather than claiming completion. This approach ensures that the next actionβ€”whether to inspect, repair, or rerunβ€”is based on verified reality, not optimistic model output.

Key Takeaways

  • Use the Pro event trigger 'When a web or computer task finishes' to automate summaries.
  • Define a strict template for summaries that includes goal, status, outputs, and unresolved items.
  • Always verify claimed outputs manually; do not trust the AI's self-reported success without checking the file or link.
  • Keep the summary routine read-only to prevent it from accidentally starting new tasks.

The Bottom Line

Automation is only as good as its verification loop. By enforcing strict completion briefs and manual checks in OGAD, you transform AI agents from black boxes into accountable workers. Trust, but verifyβ€”every single time.