AI work can produce many events without requiring a person's attention to move with every call. After delegation, more common questions are whether to do something else, what input is missing, and which result is ready to examine.
A log answers what happened in order. An overview needs to help people understand what those facts mean for the work in front of them. It earns a persistent place beside the conversation when returning users can quickly find a basis for a decision, then inspect the process as needed.
Three scales need to be read together
Take one hypothetical task throughout this article: compare three event venues, organize their prices, capacity, and conditions, and deliver a selection brief. The three visits below concern this same imagined assignment; they are not a product run record.
The work produces three kinds of facts at once:
| Information | What it answers | Judgment it cannot replace |
|---|---|---|
| Progress | Which steps toward the goal are finished | Whether delivery still needs integration or review after those steps |
| Runs | Which actual executions are active or waiting | Whether the whole goal is satisfied when one execution ends |
| Deliverables | Which content and versions have been saved | What limitations the content has and whether it is suitable for use now |
These facts operate at different scales and update at different times. Subwork can end while the main work still needs integration; a deliverable can exist while a revision continues. One overall state cannot carry all those differences. The overview needs to make them comparable.
First visit: processing continues, so do something else
A little after assigning the venue comparison, you open the overview. Reading the material has progressed, conditions are still being checked, background execution has not ended, and no selection brief has been saved yet.
These facts support a simple decision: handle other event preparations and return later. You do not need to read every tool call to know that work is still underway. Nor does the absence of a file yet have to look like failure.
The useful information here is the step in progress and the execution still active. Giving every technical event equal prominence would make the user filter the process again. The overview should save that effort while keeping the detail available when needed.
Second visit: read a version with limitations
When you return, a selection brief has been saved, but one venue's conditions are still being checked. You can read the existing version to see whether the comparison fits your needs while knowing that it carries a limitation.
An available deliverable and continuing verification can both be true. This helps a decision more than “80% complete”: without a defined calculation, that percentage creates a false sense of precision. What matters is which content can be read and which conditions may still change it.
Teloa's deliverables area keeps the current content and access to it in the original conversation, with earlier versions available on demand. Preview and download refer to a specific version. Previously reviewed content remains available, and later revisions have a clear starting point. The current version needs to be easy to find, and old versions need to be traceable. Giving every intermediate file space on the first screen would make that harder.
Third visit: your judgment or material is needed
After reading that version, you learn from the missing-information explanation in the conversation that the full conditions for one venue are still absent. The decision is whether to supply the material or explicitly accept a narrower comparison. Watching an execution indicator longer will not answer that question.
If the work includes an action that genuinely needs your approval, it should be handled through the corresponding approval entry. Authorizing execution, supplying evidence, and reviewing a deliverable have different consequences and appropriate controls. The overview and original conversation need to help people find the basis and relevant work, rather than compressing all of them into waiting.
The current work overview shows progress, execution, and deliverable facts already obtained. Users still do most of the work of judging what the business task lacks and which issue matters most. It does not yet provide full proactive blockage detection, prioritization, and action preparation. In this example, the missing information is explained in the original conversation; a person uses those facts to decide what to do next.
Keep the path to detail beside the work too
Detailed records still matter when a decision needs further checking. “Used this round” records resource events the system can confirm, with the executor and round available for inspection. These records help trace sources; whether their content was understood correctly still needs review.
Inspection should also coexist with input. A parallel overview lets people follow progress while adding requirements, and temporary details let them inspect something and return to the original position. Persistent space is limited. Information that can change the immediate decision deserves priority; other details can be expanded as needed.
For the venue comparison, returning should ideally not require asking the assistant to recount the process. You can see that work continues, find the version already saved, and use the original discussion to understand conditions needing your choice. Those abilities reduce the attention required to follow an assignment.