How to use Claude to simulate a game player and live chat
A developer gave Opus screenshots and mouse control to play a game, while Sonnet agents simulated 65 viewers and moderated their chat. Human inspection caught issues the moderator missed.
reddit.com
Suggested prompt
Suggested prompt written by Agents In Use, not the source author. Replace bracketed inputs and review tool permissions first.
Editorial suggestion: Play this [game] using screenshots and [permitted controls], keeping notes about your decisions. Simulate clearly labelled fictional viewer reactions through separate agents, moderate proposed messages and flag links or personal identifiers for human review. Do not impersonate actual viewers.
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See placements →Evidence at a glance
Sourced account- Source poster / publisher
- /u/AkandoGames
- Original account
- Read the source ↗
- Published
- Source link checked
- Reported result
- The author reports a recorded gameplay experiment with 65 simulated viewers and 1,060 chat lines. A Sonnet moderator vetoed three lines, but the developer manually caught a fake channel link and a username containing a real person's name.
- Human involvement
- The developer designed the game, roles and prompts, revised the simulated audience after the first attempt and manually caught two moderation misses. The source does not establish a complete safety review.
A linked account supports attribution. It does not mean we independently reproduced its result.
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How the agent did it
- Give a player agent screenshots, mouse control and a brief game description, with a persistent memory file.
- Assign three chat agents groups of viewer personas, memories and joining or leaving times.
- Provide recent gameplay and chat context each round, then have a separate model moderate proposed lines.
A game developer posting as /u/AkandoGames used Claude models to simulate both a player and an unruly livestream audience. The post links a recording and describes separate roles rather than a single chatbot generating a transcript.
An Opus player received screenshots, mouse control and a short description of a management game about a rat gladiator dojo. The developer asked it to seek an overpowered build and gave it a memory file. Three Sonnet agents managed groups representing 65 fictional viewers. Each viewer had a persona, memory and joining or leaving times. On each round, the agents received the previous minute of gameplay and the chat so far.
The first audience prompt produced rat-themed role-play that the developer disliked. Changing the instruction to ordinary internet users, and letting the agents research Twitch chat culture, reportedly produced more convincing recurring jokes and interruptions. These were simulated viewers, not evidence of a real audience or engagement growth.
A separate Sonnet moderator could veto proposed messages and ask their authors to rewrite them. The author reports three vetoes from 1,060 lines, but that count is not a moderation accuracy score. Human inspection found a fake channel link and a username containing a real person's name that the moderator missed.
The supported outcome is a recorded multi-agent gameplay experiment with observed moderation failures. The linked recording was not independently watched or reproduced in this review.
Prompt
Suggested prompt (written by Agents In Use, not the author's)
Source: Reddit · /u/AkandoGames
Frequently asked questions
Were these real Twitch viewers?
No. The author describes 65 fictional viewer personas run by three Sonnet agents. This does not demonstrate real audience growth or live viewer engagement.
Did the model moderator catch every issue?
No. The author reports three vetoes, but manually caught a fake channel link and a username containing a real person's name. No independently measured error rate is provided.
More details
Remaining steps
- Review the recorded output manually for missed links, identity issues and unsuitable generated material.
About this account
The player selected gameplay actions from screenshots. Separate Sonnet agents generated viewer reactions using recent context and memory, while another model could veto lines and request rewrites.
First-person public Reddit body and all returned comments reviewed through saved RSS evidence on 2026-10-20: https://www.reddit.com/r/aiagents/comments/1xa9wss/i_made_claude_play_my_game_then_gave_it_a_twitch/ Results and counts are author-reported, not independently reproduced. Suggested prompt is editorial, not the author's original wording.
Credit: /u/AkandoGames on r/aiagents
Source published
Added to Agents In Use
Source checked
Tools and topics
Claude Opus · Claude Sonnet · Screenshots · Memory files
gameplay · simulated chat · moderation
Editorial completeness: 100/100. Measures documented fields, not agent performance or verified outcomes.