Meet the Workflows: Interactive & ChatOps

Jan 13, 2026

Onwards, onwards! Let’s keep exploring the wonders of Peli’s Agent Factory! To the command center where instant magic happens!

In our previous post, we explored creative and culture workflows - agents that bring joy, build team culture, and create moments of delight. We discovered that AI agents don’t have to be all business; they can have personality while making work more enjoyable.

But sometimes you need help right now, at the exact moment you’re stuck on a problem. You don’t want to wait for a scheduled run - you want to summon an expert agent with a command. That’s where interactive workflows and ChatOps come in. These agents respond to slash commands and GitHub reactions, providing on-demand assistance with full context of the current situation.

We learned that the right agent at the right moment with the right information is a valuable addition to an agent portfolio.

Interactive & ChatOps Workflows

These agents respond to commands, providing on-demand assistance whenever you need it:

Q - Workflow optimizer that investigates performance and creates PRs
Grumpy Reviewer - Performs critical code reviews with personality
Workflow Generator - Creates new workflows from issue requests

Interactive workflows changed how we think about agent invocation. Instead of everything running on a schedule, these respond to slash commands and reactions - /q summons the workflow optimizer, a 🚀 reaction triggers analysis. Q (yes, named after the James Bond quartermaster) became our go-to troubleshooter - it investigates workflow performance issues and opens PRs with optimizations.

The Grumpy Reviewer gave us surprisingly valuable feedback with a side of sass (“This function is so nested it has its own ZIP code”). We learned that context is king - these agents work because they’re invoked at the right moment with the right context, not because they run on a schedule.

Using These Workflows

You can add these workflows to your own repository and remix them. Get going with our Quick Start, then run one of the following:

gh aw add https://github.com/github/gh-aw/blob/v0.37.7/.github/workflows/q.md

Grumpy Reviewer:

gh aw add https://github.com/github/gh-aw/blob/v0.37.7/.github/workflows/grumpy-reviewer.md

Workflow Generator:

gh aw add https://github.com/github/gh-aw/blob/v0.37.7/.github/workflows/workflow-generator.md

Then edit and remix the workflow specifications to meet your needs, recompile using gh aw compile, and push to your repository. See our Quick Start for further installation and setup instructions.

Learn More

GitHub Agentic Workflows - The technology behind the workflows
Quick Start - How to write and compile workflows

Next Up: Testing & Validation Workflows

While ChatOps agents respond to commands, we also need workflows that continuously verify our systems still function as expected.

Continue reading: Testing & Validation Workflows →

This is part 13 of a 19-part series exploring the workflows in Peli’s Agent Factory.