How Alex Stays With Your Team From Idea to Action

Alex is an AI coworker that lives where your team already works — in Slack, in your meetings, plugged into your project tools. A kind of Cursor for Project Managers that turns conversations into work.
Let's zoom into one specific loop:
How Alex stays with your team through a feature’s life cycle —
from the first idea in Slack,
to a user story,
to a broken-down set of tickets ready for engineering
We’ll use a single example:
“Next Step after onboarding” — helping new users know what to do right after setup.
1. Idea in Slack → User Story
It starts in #product , where most of your features are started. Someone posts:

“We’re seeing users complete onboarding, connect their first tool… and then stall. There’s no clear next step.”
Replies come in fast:
- Customer Support drops a customer quote: “Okay, I did the setup… now what?”
- Designer shares a Loom of a session where the user just stares at the empty state.
- An engineer links a chart showing drop-off right after the “integration connected” event.
Alex is already in that channel, quietly following the thread: who’s talking, what the problem is, which ideas are being thrown around.
Once there’s enough signal, I type:

Alex pulls from the entire conversation and drafts a user story in our project tool that sounds like us, not like a generic template:
- Problem: users finish onboarding and don’t know what to do next.
- Context: analytics, recordings, and quotes mentioned in the thread.
- Goal: guide new users to a meaningful first action.
- Initial ideas: a “first win” checklist, suggested actions, better empty state.
We skim, tweak a sentence or two, and move on.
In a few seconds, “Slack noise” became a proper user story — without anyone opening a blank ticket and trying to reconstruct everything from memory or copy/paste.
2. Planning Session → Tickets
A few days later, we decide that this user story is in scope for the next cycle, so we set up a planning session with PM, design, and engineering — and we invite Alex as always**.**

At the beginning of the call, I say:
“Alright guys, we’re planning the ‘Next Step after onboarding’ user story Alex wrote not so long ago. Here are the details…”
Alex already knows which story we’re talking about, where it came from, and who’s in the room.
We agree that success means a new user taking at least one meaningful action after setup, not just connecting a tool and stopping there.
We talk about scope so it doesn’t balloon into a huge “onboarding 2.0” project.
As we go, the work naturally breaks down:
- Backend needs a small change to provide recommended actions.
- Frontend needs a panel on the post-onboarding screen.
- Design needs to update the empty state and layout.
- We want analytics events for the new flow.
- QA needs to cover how this behaves for new vs existing users.
We are just talking like a normal team. We are not dictating tickets or filling out a form for Alex. It listens and tracks what sounds like separate pieces of work.
We don’t stop the meeting to open Linear or Jira and start typing.
We stay in the conversation.
When we’re done and everyone is happy with the plan, I hand it off:
Me: “Alex, create the tickets we just described for the ‘Next Step after onboarding’ story: backend, frontend, design, analytics, and QA. Use this discussion and the user story for the descriptions and basic acceptance criteria, and assign them to the right people.”
Alex: “Got it. Will create 5 tickets to cover this work and add the link to the user story. Sounds good?”
Me: “Go for it!”
Then we end the call.
No one stays behind to “do the tickets.”
No one has to swap from the meeting to a board and play scribe.
Why This Matters for Product Teams
This little loop changes more than it looks like:
- Discovery doesn’t get lost between Slack and a ticket.
- Planning stays focused on decisions, not on typing into tools.
- The story and the tickets stay connected instead of living in separate islands.
- PMs and leads stop acting as the human glue between conversations and the backlog.
Alex doesn’t replace anyone on the team.
It removes the drag between “we know what we want to do” and “it’s actually structured so we can build it.”
What’s Next in the Series
In the next story, we'll look at the same pattern from another angle:
how Alex joins support calls and turns what happens there into ready-to-work bug reports, without support agents spending another 20–30 minutes writing everything up by hand