Hire an AI employee.
It works in your tools, follows your handbook, and checks with your team.
We'll reply personally about a first role.
Where should we start?
You don't have to ask for every next step.
Your handbook says what happens next. Wallfacer follows it.
The recurring management work
Prepare the job and repeat the team's standards.
The configured Wallfacer process
Assign the issue.
One issue forks into two implementation lanes. Each lane moves through checks, review, and corrections. Integration review adds two follow-up tasks, all four changes return to final review, and the result reaches a human approval gate.
Teach the next job what your team learned.
A change passes its tests, but no one checked the screen on a phone. Add the missing check to the handbook.
How handbook instructions work- Before requesting review:
- Added line: Run the changed flow in the Simulator.
- Added line: Attach a phone-sized screenshot to the pull request.
- Added line: Describe anything you could not verify.
The AI employee's prepared computer runs the app.
Give each AI employee the code, software, accounts, and protected credentials its job needs. You choose what is connected and what it can access.
See how prepared computers workGitHub
Slack
Email
Passwords & secrets
Your repositories
App servers
- yourcompany/your-repo-1
- yourcompany/your-repo-2
- App, backend & database
Campaign stats
Slack
Email
Passwords & secrets
Performance reports
Audience insights
- Campaign performance & spend
- Audience & conversion trends
- Findings to share with your team
Start with a job your team knows.
Bring one recurring job your team knows. We’ll review the work and the human decisions, then assess whether Wallfacer is a fit.