Agent Mode Prompt Gallery
Explore ready-to-run AI workflows that help you debug, test, document, and automate your API development.
Popular Prompts
Evaluate errors against previous ones and their resolutions
Review what worked in resolving similar past errors and test failures for faster resolutions.
Log issues in GitHub or Jira when the error needs more troubleshooting
Let Agent Mode spin up issues that automatically populate the issue description with context from the resource where the error is occurring, what's not working, and what you've tried already to fix it.
Generate a Python SDK for your collection
Generate a production-ready Python SDK with built-in error handling, retries, and example scripts
Refactor monolithic API spec and save hours
Split a monolithic API spec into domain-based APIs and get new OpenAPI files for each in just minutes
Platform Engineer
Generate a Notion page documenting an API endpoint
Create a structured page for the endpoint that includes HTTP method, URL, parameters, and a sample response for easy developer reference.
Validate post-deploy health by comparing New Relic metrics
Compare pre- and post-deploy metrics in New Relic for the service behind this request, surface new error groups or regressions, and summarize whether the recent deploy is healthy.
Summarize diagnostics for the latest Stainless build
Fetch the latest Stainless build diagnostics and summarize errors and warnings with suggested remediation steps.
Product Engineer
Compare error rates and latency across endpoints in Amazon CloudWatch
Aggregate metrics for all collection endpoints, compare error rates and latency, and highlight the most problematic endpoints for prioritization.
Analyze Amazon CloudWatch logs for errors
Scan Amazon CloudWatch logs for the endpoint over the past 30 minutes, surface errors and warnings, and provide likely root causes and log excerpts to speed debugging.
Generate a Notion page documenting an API endpoint
Create a structured page for the endpoint that includes HTTP method, URL, parameters, and a sample response for easy developer reference.
QA Engineer
Compare error rates and latency across endpoints in Amazon CloudWatch
Aggregate metrics for all collection endpoints, compare error rates and latency, and highlight the most problematic endpoints for prioritization.
Analyze Amazon CloudWatch logs for errors
Scan Amazon CloudWatch logs for the endpoint over the past 30 minutes, surface errors and warnings, and provide likely root causes and log excerpts to speed debugging.
Validate post-deploy health by comparing New Relic metrics
Compare pre- and post-deploy metrics in New Relic for the service behind this request, surface new error groups or regressions, and summarize whether the recent deploy is healthy.
API Product Owner
Generate a Notion page documenting an API endpoint
Create a structured page for the endpoint that includes HTTP method, URL, parameters, and a sample response for easy developer reference.
Build a release readiness report in Confluence
Find unresolved blockers in Jira and generate a release readiness report in Confluence, with a status table and comments on each blocker.
File a Jira bug with full request/response payload
Create a Jira bug in your project containing the failing response details, assign it, and attach the full request/response payload as a comment for quick triage.
GTM Engineer
Compare error rates and latency across endpoints in Amazon CloudWatch
Aggregate metrics for all collection endpoints, compare error rates and latency, and highlight the most problematic endpoints for prioritization.
Analyze Amazon CloudWatch logs for errors
Scan Amazon CloudWatch logs for the endpoint over the past 30 minutes, surface errors and warnings, and provide likely root causes and log excerpts to speed debugging.
Summarize diagnostics for the latest Stainless build
Fetch the latest Stainless build diagnostics and summarize errors and warnings with suggested remediation steps.
FAQs about Agent Mode prompts
What is Agent Mode?
Agent Mode is Postman’s native AI solution to help you build, maintain, and share APIs faster and with less toil. Agent Mode runs in Postman and has full context of your collections, environments, tests, monitors, and history. It can run real requests, inspect failures, update your docs, write tests, fix mistakes, and keep everything in sync.
Agent Mode can also reach beyond Postman into the tools you already use through filesystem access and integration with GitHub, Jira, and more. Agent Mode can automate repetitive tasks, demystify cryptic errors, and help you move through your SDLC with fewer tabs and fewer interruptions.
How do I use Agent Mode?
Open Agent Mode from the bottom-right corner of your Postman workspace. Then just describe what you want to do. Agent Mode uses your real workspace context to execute tasks like fixing requests, generating documentation, writing and running tests, syncing backend changes, updating Jira issues, interacting with Git, and more. Every step is visible, editable, and always under your control.
What kinds of prompts can I run?
Agent Mode supports prompts for debugging, writing and running tests, generating or updating documentation, syncing backend changes, refactoring specs, creating workflows, producing server stubs or SDKs, and more. Anything in your API lifecycle that normally takes several manual steps can be automated through a prompt.
Who benefits from using Agent Mode?
Agent Mode helps everyone who works with APIs move faster with less friction.
- Platform engineers use it to standardize specs and keep their API estate consistent.
- Product engineers rely on it to debug issues, write tests, and generate code without switching tools.
- QA engineers use it to expand coverage and surface regressions automatically.
- API product owners use it to produce clear documentation and manage versioning.
- GTM engineers use it to build tailored demos, troubleshoot customer issues, and accelerate onboarding.
By eliminating context switching, speeding up feedback loops, and keeping collections, tests, and documentation aligned, Agent Mode helps every team ship more reliable APIs, faster.
