This workflow is available on PRO plans and costs tokens to run.
When to use this workflow
Run a table when you already have the basic structure in place and want &AI to fill the cells across the selected rows and columns. This is the right step when:
the table already contains sources and at least one useful column
you want answers generated at scale instead of one row at a time
you want to resume a partially completed table
you need to apply filters or rerun work after refining the table
Make sure the table is ready to run
Before selecting Run All, confirm that:
the rows represent the sources you actually want analyzed
the columns ask the right questions
output types and constraints match the kind of answer you want back
any web-search or deep-research settings are intentional
Start the run
From the table detail page, use the main table action button:
Run All appears when the table has incomplete work that has not been processed yet
Resume All appears when some work is already complete and some is still incomplete
In both cases, &AI starts processing the unfinished cells for the current table. The table UI is built to show partial-progress workflows, so resuming is a normal part of working with a large table.
How runs process rows and columns
The run operates across the intersection of:
rows, which are the selected documents or products in the table
columns, which are the prompt-backed or search-backed analysis instructions
Each cell moves through a status lifecycle such as pending, processing, success, or error. The workflow is designed so you can inspect the table while work is happening and return later if the run is still in progress.
Use the main analysis controls
The header and actions area expose the controls you use most during and after a run:
Run All or Resume All to process unfinished work
Cancel to stop an active table-level run
Sorts to reorder the table by source or by structured result columns
Filters to narrow what you are looking at
row and column visibility controls for hidden items
wrap-text controls so long answers are easier to scan
These controls are especially helpful when a run returns a large number of outputs and you want to focus on a subset before reviewing everything.
Use structured filters and AI filters
The Filters control supports two different filter patterns:
Structured filters
Structured filters are tied to a specific column and adapt to the column's output type. Depending on the output type, the available operators can include options such as:
Includes
Equals
Does Not Equal
Is Greater Than
Is On Or After
Is Empty
Is Any Of
This is the better choice when the column output is already normalized enough to filter deterministically.
AI filters
AI filters let you choose a column and write a natural-language filter query that describes which rows should match. After you create the filter, you run it from the same filter panel, and the filter can become stale if the prompt changes or the table changes.
Use this when a simple exact-value filter is not enough and you need semantic matching over the generated output.
Add or refine columns while the workflow evolves
If your workspace allows prompt creation, you can add new prompt-backed columns or update your table structure before the next run.
This is useful when the first pass shows that:
a question is too broad
you need a new output type
you want to split one large question into several narrower columns
you want to add a search-backed column for additional evidence gathering
Cancel or resume when needed
Longer runs may not finish in one uninterrupted session. The interface supports cancellation and later resumption so you can stop the active work and return when you are ready.
If the table already contains some completed cells and some unfinished cells, use Resume All instead of rebuilding the table from scratch.
After the run finishes
After cells populate, review confidence and reasoning, verify reliable cells, flag outputs that need follow-up, and apply sorts or filters to focus on the most important answers. Once results are trustworthy, export the table or save the structure as a reusable template.