Build and grow a mobile game with bots
Six bots, one mobile game studio. Task: The author configured six Grok Bot agents with distinct roles (Orchestrator, Analytics, Creatives, Engineer, GCS, Bug Fix) to manage a mobile game studio. Each agent has a system prompt, cloud computer, and specific connections to tools like Meta Ads, Sentry, and GitHub. The workflow involves overnight autonomous tasks, such as analytics recaps and bug sweeps, with agents handing off work to each other. The human author defines job descriptions and approves spending, while agents execute recorded skills like uploading creatives via web UI when APIs are unavailable.; tools: Grok Bot. Human role: The original post does not say how a person stayed involved.; limitations: The source is a promotional guide from x.ai, so metrics may be cherry-picked or lack long-term stability data. API verification issues forced the use of recorded web UI skills, which are fragile if the platform changes. The text does not detail the human's ongoing time commitment or specific failure rates. Costs for cloud computers and tool subscriptions are not specified. Human approval is required before spending money, but the frequency of this intervention is unclear..
Tools
Published on Agent Work Atlas:
Overview
Six bots, one mobile game studio.
Workflow
The author configured six Grok Bot agents with distinct roles (Orchestrator, Analytics, Creatives, Engineer, GCS, Bug Fix) to manage a mobile game studio. Each agent has a system prompt, cloud computer, and specific connections to tools like Meta Ads, Sentry, and GitHub. The workflow involves overnight autonomous tasks, such as analytics recaps and bug sweeps, with agents handing off work to each other. The human author defines job descriptions and approves spending, while agents execute recorded skills like uploading creatives via web UI when APIs are unavailable.
Reported result
The game Rank'em passed 1,000 downloads in a week. The bot team achieved a 15x improvement in cost per install (dropping from $15 to $1) and a 4x improvement in D7 retention. These results came from data-driven ad revisions (shifting from 'party' to 'partner' themes) and shipping a 'hint' feature based on retention correlations. The author notes that the bots autonomously identified these opportunities and executed the changes.
Human role
The original post does not say how a person stayed involved.
Limitations
The source is a promotional guide from x.ai, so metrics may be cherry-picked or lack long-term stability data. API verification issues forced the use of recorded web UI skills, which are fragile if the platform changes. The text does not detail the human's ongoing time commitment or specific failure rates. Costs for cloud computers and tool subscriptions are not specified. Human approval is required before spending money, but the frequency of this intervention is unclear.
Try it
Act as a mobile game studio manager using Grok Bot. I will provide the game name [replaceable: Rank'em], current metrics [replaceable: CPI $15, D7 10%], and tool access [replaceable: Meta Ads, Sentry]. First, define six agent roles: Orchestrator, Analytics, Creatives, Engineer, GCS, and Bug Fix. For each, write a system prompt specifying their job, connections, and refusal boundaries. Set up a routine for the Analytics agent to review spend and player behavior nightly. When a finding emerges (e.g., ad fatigue), have the Creatives agent propose new ad specs. Before any ad spend or code deployment, pause and present the plan to me for approval. Do not execute spending actions without my explicit 'yes'. Start by configuring the Analytics agent and running a dry-run report on existing data to verify accuracy.
Source reports are not independently verified. Publication date is the catalog publication date, not the original article date.