Since June 2020… Can AI Finally Save Us from Opening Every Task?
Hi everyone!
This feature request has been around since June 2020 — that’s a lot of years asking for a Description column!
While we wait for a native solution, what if we let AI do the summarizing for us?
From an AI transformation perspective, I’d like to share a practical workaround using Asana AI Studio to turn lengthy task descriptions into concise, leadership-friendly summaries directly in the Project List view.
Instead of squeezing an entire description into a column, we can use AI to generate a one-line summary and populate a Text custom field. Project managers and leaders can then understand the purpose of a task at a glance without opening every task.
How I implemented this solution
Step 1: Create a Text custom field
Create a Text custom field called Task Summary and add it to your project’s List view. This is where the AI-generated summary will appear.
Step 2: Configure an AI Studio rule
Create an AI Studio rule that reads the task description, identifies the primary objective or deliverable, and generates a concise summary of 10–20 words.
The instruction should tell AI to preserve the key meaning, avoid inventing information, and return only the summary.
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Step 3: Choose the execution trigger and make the rule reusable**
I configured the rule to run manually. Not every task needs an AI-generated summary, so manually triggering it for selected tasks helps control AI credit consumption. You can also use an appropriate automated trigger if you want summaries generated whenever tasks meet specified conditions.
You don’t have to recreate the rule for every project:
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Starter and Advanced: Add the rule to a project template so new projects created from that template can reuse the workflow.
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Enterprise and Enterprise+: Package the rule and relevant configuration in an Asana Bundle and apply it to the appropriate projects.
This makes the solution reusable and easier to scale across teams.
Step 4: Generate and display the summary
Run the rule on a task, and AI Studio analyzes its description and populates the Task Summary custom field. The result appears directly in the List view, while the original description remains untouched.
What about AI credits?
In my test, the lowest-cost model available in the AI Studio model selector consumed 232 credits per run. For planning, let’s use an average of 250 credits per task summary.
Based on the monthly AI Studio credit allocations shown in Asana’s plan comparison, the estimated capacity is:
| Asana plan |
Monthly credits |
Approx. summaries/month |
| Starter |
50,000 |
200 |
| Advanced |
75,000 |
300 |
| Enterprise |
200,000 |
800 |
| Enterprise+ |
200,000 |
800 |
These are estimates, not guaranteed limits. Actual consumption depends on the model and task description, and credits are shared across the billing account with other AI Studio workflows. Additional credits may be available for purchase.
Why I like this approach
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Leadership-friendly: Get the gist without opening every task.
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AI-powered: Transform detailed descriptions into concise summaries.
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Credit-conscious: Run manually only where needed, or automate when appropriate.
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Reusable: Standardize the workflow through templates or bundles.
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No loss of detail: Keep the full description for the people doing the work.
The idea isn’t to replace the Description field. It’s to give it a useful companion: the full story for the team, and the executive summary for everyone scanning the list.
After waiting since 2020, perhaps we can let AI help bridge the gap in the meantime! 
If this workaround helps address your use case, please click the checkmark below this reply to mark it as a solution. Thank you!