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Summarise how your releases are really going
For IT, DevOps and release engineers who want recent release results by environment, just by asking their AI assistant.
On this page
Connector
Connect Azure DevOps, pick your AI tool and paste the prompt.
The problem
Failed deployments and slow stages get missed
Release health is spread across releases and environments, so failed deployments and slow stages are missed. Reading each release and each environment one at a time takes longer than the release itself.
Without PopdockAI
- Open each recent release
- Check every environment's result
- Note durations by hand
- Miss the stage that keeps failing
With PopdockAI
- Recent releases and their environment deployments are read
- Results and durations are noted per environment
- Failures and slow stages are shown first
- Approvals it cannot see are not inferred
The prompt
Use this prompt
Copy it into any AI tool connected to PopdockAI. Swap the values in braces for your own.
**Objective:** Summarize the recent release and deployment history of `{release-definition-name}` in project `{project}` (all if empty).
**Step 1: Resolve the definition**
Call `azure-devops-get-release-definition` with name.contains `{release-definition-name}`. If more than one matches, list them and stop.
**Step 2: Read releases**
Call `azure-devops-get-release` with definition-id for the matched definition and take the latest 20, noting status, reason, created-by and created-on.
**Step 3: Read deployments**
Call `azure-devops-get-deployment` with release-definition-id. Group by environment-name and note deployment-status, operation-status, requested-for and the time between queued-on and completed-on.
**Step 4: Report**
A per-environment table of last deployment, result, success rate over the runs seen and median duration, followed by the latest release and anything stuck, partially succeeded or failed.
**Rules & Guidelines:**
* This prompt is read-only. Call only the `azure-devops-get-*` read tools named above; never create, update, comment on, approve, queue, abort or delete anything in Azure DevOps.
* The tools only return data the connected account can see; never infer data from projects outside that access.
* Do not infer approvals or gate details; they are not in these tools.
**Validation:**
* If no releases exist for the definition, say so and stop.
* Report the number of releases and deployments actually examined.
Who it's for
One answer, three teams that use it
Release managers
Review releases in one summary
Failures and slow stages come first, so you know where releases are struggling.
Summarise the last 5 releases of the Fabrikam API release definition.
DevOps engineers
Find the slow stage
Durations per environment show which stage is holding releases up.
Which environment is slowest in recent Northwind Portal releases?
Platform leads
Track release reliability
See how often deployments fail by environment over recent releases.
How many Contoso Services deployments failed in recent releases, by environment?
How it works
What PopdockAI does when you ask
You name a release definition and your AI assistant summarises its recent deployments. It stops if the name is ambiguous and only reads.
01
Ask
You name the release definition.
02
Read
It reads the recent releases and their environment deployments.
03
Compare
It notes results and durations for each environment.
04
Report
You get the summary with failures and slow stages highlighted.
What PopdockAI provides
The tools behind the answer
Ready made tools for Azure DevOps and one secure connection to your AI tool. No code, no exports.
azure-devops-get-release-definition
azure-devops-get-release
azure-devops-get-deployment
This report is built from Get data tools only. PopdockAI applies the row, field and parameter rules your admin sets, and every query is written to the audit trail.
The outcome
Release health across environments at a glance
Related use cases
More ways to put this data to work
One prompt template with infinite possibilities.
Your AI assistant adapts its approach, tone, and capabilities to match each unique context while you maintain a single, manageable workflow.
Join forward-thinking companies that are transforming their operations with intelligent, secure AI automation.

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