How does YP build the internal tool you needed last quarter?
A build AI Employee connected to your workspace App Store, your database, and your repository. Describe the internal tool you've been asking for in a Slack message; it scaffolds a small app, wires it to the data, and lists it in your company App Store for a named human to approve and publish.
×Every team has a list of internal tools that never get built. The reconciliation screen one person maintains in a spreadsheet, the little admin panel for editing a config table, the on call dashboard for one squad: each one is real work that would save hours a week, and each one sits permanently below the line on an engineering roadmap that is already full. They're too small to prioritize and too specific to buy off the shelf. So the workarounds pile up instead: a shared sheet with a formula no one wants to touch, a script someone runs from their laptop, a Slack thread where people ask a single engineer to run a query for them. The need is clear and the shape of the tool is obvious. What's missing is the hour to scaffold it, connect it to the data, and get it in front of the people who need it.
The internal app builder AI Employee is triggered when someone mentions it in Slack and describes the tool they need. It reads the request, scaffolds a small app in your repository following your build conventions, connects it to the database with the permissions you set, and lists the finished app in your workspace App Store. A named human reviews the app and approves it before anyone in the workspace can use it. It never publishes to the workspace on its own.
See exactly how the work gets done.
Triggers on a Slack mention
Someone describes the tool they need in plain language and mentions the AI Employee. That message starts an isolated run inside your own environment with the permissions you've scoped for it.
Carries your build conventions
Your stack, component library, auth pattern, and the shape of a well formed internal app travel with it as skills and memory, so what it builds looks like the rest of your workspace rather than a stranger's project.
Connects to your data and repository, with permissions you set
It reads the database schema and the repository to understand the tables and patterns the tool needs. Credentials stay in memory, never written to disk and never exposed to the model.
Scaffolds and builds a small app
It generates the app, with the screens, the queries, and the write paths the request calls for, in a branch of your repository, scoped to exactly the data the tool is about and nothing else.
Lists it in your workspace App Store
The finished app is submitted to your company App Store as a pending listing, with a description of what it does and the data it touches, ready for a person to look at.
A named human approves and publishes
A named human reviews the app and its permissions and signs off before it goes live. Nothing reaches the workspace without that approval.
Runs in your environment
Every build happens in an isolated run inside your own infrastructure, reaching only the database, repository, and App Store it's scoped to. Your data never leaves.
Scoped to the tool it's asked for
It connects to the tables and repository paths the requested tool needs and nothing wider, and its writes are the app branch it builds.
Publish gated by a named human
It lists the app as a pending App Store submission. A named human's approval is required before anyone in the workspace can open it. The signature on anything that ships is human.
Credentials stay in memory
Database and repository credentials live only in the run's memory, never written to disk and never exposed to the model.
You own every rule
The build conventions, the permission scopes, and the approval step are yours, versioned and changed on your terms, not in a vendor dashboard.
The internal tool that never made the roadmap now starts with a sentence in Slack and comes back as a working app in your own App Store, waiting for a person to approve. The team reviews and publishes something real instead of maintaining another spreadsheet no one wants to own.
From a Slack message
A described tool comes back as a built app awaiting approval
Publish gated
A named human approves before it reaches the workspace
In your App Store
Built on your data, in your stack, in your own workspace
Our free AI audit shows you where AI fits, what your security risks are, and gets your first AI employee working.
How do AI Employees keep your docs in sync with the code?
Sweeps the code merged each day, rewrites the docs those changes touched, and opens one reviewable pull request. Publishing waits for a human merge.
×
How do AI Employees test every pull request before a human reviews it?
Checks out every pull request, runs the suite, exercises the change through the edge on a test deploy, and posts the result. It stays off production, leaving the merge to a person.
×How do you get a postmortem drafted the moment an incident resolves?
Reconstructs the incident timeline, correlates it against deploys and log spikes, and opens a structured postmortem as a doc PR. It drafts, and the team finalizes.
×