u/HarrisonAIx

hey everyone,

i wanted to share a mini web-app i built that runs entirely inside a reddit post. it's a simulation game called Slop-Cops where a player submits a project idea or a URL, and a multi-agent system of 5 AI characters debates its validity and "slop" factor. Built using antigravity.

if you want to check out how the agent interactions and state management work in-feed, the playtest is live here: r/slopcops

open to any feedback on the agent prompting structure or how to improve the multi-agent debate flow!

hey everyone,

i wanted to share a mini web-app i built that runs entirely inside a reddit post. it's a simulation game called Slop-Cops where a player submits a project idea or a URL, and a multi-agent system of 5 AI characters debates its validity and "slop" factor.

from a developer perspective, it was a fun challenge integrating this with reddit's devvit platform. the frontend is react inside an iframe, which communicates with a hono server on devvit. state is stored in devvit redis, and we use gemini-3.1-flash-lite to run the agent personalities (a grammar cop, a paranoid bug hunter, a retro vaporwave chief, a rookie, and a pessimistic senior engineer).

if you want to check out how the agent interactions and state management work in-feed, the playtest is live here: r/slopcops

open to any feedback on the agent prompting structure or how to improve the multi-agent debate flow!

wanted to share a project i've been working on that explores using LLMs for social, in-feed entertainment.

it's a text-based simulation game called Slop-Cops, built on reddit's new developer platform (devvit). users submit a website URL or describe a project idea (like an AI startup), and 5 distinct AI agent personalities (acting as a tribunal of "vibe cops") read the text, debate its quality, and rate it. players can then write a rebuttal to defend their project before the final verdict.

tech stack is fairly straightforward: react webview, hono, devvit redis for state, and the google gemini API running directly from the server.

it's live and playable on reddit if you want to test how the agent personalities interact: r/slopcops

would love to get feedback on the agent prompts and how they debate each other.

since the internet is currently flooded with AI hype and "slop" startups, i decided to spend my free time building a text game directly inside reddit to parody it.

it's called Slop-Cops. basically, you submit a link or type in your AI project/startup idea, and a council of 5 AI cops (who all have different tech personalities—like an anxious glitch detective, a pedantic syntax cop, and a grumpy developer veteran) deliberate live in the comments to rate its vibe and issue a "vibe integrity score."

it runs natively on reddit using their new developer platform. if you want to run your project idea or website through the tribunal to see if it's classified as "slop," you can play it here: r/slopcops

let me know what score the cops give your ideas lol (sgt trycatch is pretty harsh).

Here is the formatted template for r/PlayMyGame, specifically tailored for Slop-Cops Tribunal and incorporating the fact that it roasts both website links and AI project/startup ideas:

Game Title: Slop-Cops Tribunal

Playable Link: https://www.reddit.com/r/slopcops/

Platform: Reddit (Devvit) / Web Browser (Please add the Web or Reddit flair after posting)

Description: Slop-Cops Tribunal is a retro-styled, interactive simulation game built to run natively inside Reddit posts using the Reddit Developer Platform (Devvit). In this game, players submit their software projects, website URLs, or AI startup ideas to be judged by a tribunal of five tough AI Cops.

Each cop represents a distinct programming trope: Chief Vaporwave (retro neon enthusiast), Detective Glitch (paranoid bug hunter), Officer Syntax (pedantic grammar cop), Rookie Undefined (clueless beginner), and Sgt. TryCatch (crusty, pessimistic veteran). The cops will analyze the submitted URL or project idea, debate its "slop" quality live in the comments, and issue a final "Vibe Integrity Score." Players then get a chance to defend their work in a round of interrogation before the final verdict is rendered. It’s a fun, lighthearted parody of modern tech culture, AI hype, and the day-to-day struggles of web development.

Free to Play Status:

[x] Free to play

[ ] Demo/Key available

[ ] Paid (Allowed only on Tuesdays with [TT] in the title)

Involvement: Solo Developer (I built the game, designed the AI character prompts, and integrated it into the Reddit Devvit platform).

hey guys,

i built a weird little web game called Slop-Cops that runs directly inside reddit.

the concept is simple: you paste in any website url and watch a panel of 5 AI cops argue with each other about whether the idea is high-quality or just total internet "slop." they all have different personalities (like a paranoid glitch detective, a grammar cop, and a grumpy developer veteran) and they give the site a final "vibe score."

it's completely free to play. you can run some sites through it here: r/slopcops

drop some of your favorite or weirdest links in there and let me know what score the cops give you lol.

hey everyone,

i wanted to share a side project i’ve been working on called Slop-Cops. it’s an interactive game built using reddit's devvit platform (their developer sdk for building apps inside subreddits).

basically, you submit any url and a council of 5 AI cop characters (who are all based on classic developer tropes—like Officer Syntax, Sgt. TryCatch, Rookie) debate how good or bad the vibe coded product is slop or not.

tech-wise, it's built with react in a webview, hono for the server, devvit redis for state, and calls google's gemini api directly.

it's live and playable on reddit if you want to check it out: r/slopcops

would love to hear what you think of the concept or the devvit integration. let me know if you run any of your ideas through it!

so i built this dumb game called CAT Tribunal where you can drag your awful neighbors or HOA to virtual court over property disputes.

basically, you type in your issue (like a neighbor chopping down your 100-year-old oak tree while you were at work), and three different AI characters—a negotiator, a mediator, and a very cold adjudicator—argue about it and issue a final binding decree.

it runs directly on reddit. i know this sub loves some intense property line drama, so i'm really curious if the AI actually understands the concept of treble damages, or if it just lets the neighbor get away with it.

if you want to test out your favorite historical tree law cases on it, it's live here: r/CATtribunalGame

let me know what the adjudicator decides (it can be pretty brutal tbh).

I wanted to test out multi-agent persona prompting, so I built a Reddit app called CAT Tribunal using Devvit.

It simulates a housing dispute tribunal natively inside Reddit posts. When a user submits a case, three distinct Gemini-powered AI agents evaluate it:

• The Negotiator: Prompted to find middle ground.
• The Mediator: Prompted to assess emotional damage and de-escalate.
• The Adjudicator: Heavily prompted to be a cold, strictly rules-based judge that issues the final binding decree.

Managing the context window so the three agents converse naturally without breaking character or hallucinating the user's original complaint was a fun challenge.

It's live right now at r/CATtribunalGame. I’d love some feedback from other devs on the prompt engineering—specifically if anyone can find a way to "jailbreak" the Adjudicator into ruling in their favor when they are clearly in the wrong.

hey everyone,

i’m a developer in the city and i spent some of my free time building a text-based simulator game that runs directly inside reddit.

it’s called CAT Tribunal, and it’s a lighthearted parody of Ontario’s real-world Condominium Authority Tribunal.

basically, you type in any building, management, or landlord dispute (bylaw issues, parking arguments, elevator maintenance drama) and watch three AI agents—a negotiator, a mediator, and a very cold adjudicator—deliberate and issue a binding legal decree.

it’s completely free and runs directly on reddit. if you want to test it out, the game posts are live here: r/CATtribunalGame

would love to know if you manage to negotiate a settlement or if the adjudicator completely shuts you down. let me know what you think!

if you live in a Toronto condo, you probably know how fast things can escalate with the board or property management over stuff like random rules, fees, or maintenance delays.

i ended up making a text simulator game called CAT Tribunal that runs directly on reddit. you paste in whatever condo management or board dispute you have, and it walks you through negotiation, mediation, and a final binding adjudication from a very bureaucratic AI.

wanted to share it here if you've got some weird board rules or management disputes you want to run through the simulator: r/CATtribunalGame

let me know what kind of compromise or final decree you get!

anyone who has ever owned or lived in an Ontario condo knows that the CAT (Condominium Authority Tribunal) is a pretty unique (and sometimes frustrating) setup for resolving disputes.

i ended up building a simulator game on reddit called CAT Tribunal to play play-by-play through these cases. you can put in any condo dispute—whether it's board policy, parking spaces, pet rules, or bylaw violations—and walk through the negotiation, mediation, and final adjudication stages.

it's free and runs right inside reddit: r/CATtribunalGame

just wanted to share it with other Ontarians who might find the parody fun. let me know if you manage to settle your case or if you end up with a binding order from the adjudicator.

as condo owners, we all know how fast minor disputes over rules, parking spots, or board policies can spiral out of control.

i spent some time building a text-based game on reddit called CAT Tribunal (modeled after Ontario's real condo tribunal). you put in any dispute—like balcony rules, pet limits, elevator issues, or board communication problems—and try to negotiate or mediate a resolution. if that fails, you get a binding order from a very stern, rule-following adjudicator.

it runs directly inside reddit: r/CATtribunalGame

i'd love for some fellow owners (or board members) to test out some common board disputes and see if the AI's compromises and final decisions feel realistic to you.

if you've ever had to deal with Ontario condo boards or disputes, you know the actual Condominium Authority Tribunal (CAT) is a massive headache.

as a fun side project, i built a simulator game on reddit called CAT Tribunal to play through these disputes. you put in a scenario (noise, parking issues, status certificate drama) and it runs it through three stages: negotiation, mediation, and then a final binding order from a very bureaucratic AI adjudicator.

it's free and runs right inside reddit if you want to try it: r/CATtribunalGame

curious what you guys think, especially if you've had to deal with the real CAT before. let me know if the verdicts actually make sense lol.

so i got tired of reading about power-tripping HOA presidents and decided to build a text-based game called CAT Tribunal (it's a parody of the real condo dispute tribunal in canada).

basically, you type in whatever stupid fine or dispute you have with your HOA, and three different AI characters—a negotiator, a mediator, and a very cold adjudicator—deliberate and issue a final binding decree.

it runs directly on reddit. if you guys want to test your worst HOA stories and see if the AI actually rules in your favor, it's live here: r/CATtribunalGame

let me know what final order you get or if the adjudicator sides with your board (the adjudicator is pretty brutal tbh).

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Hey everyone! I'm u/HarrisonAIx, a founding moderator of r/CATTribunalGame.

This is our new home for all things related to CAT Tribunal, the online dispute resolution simulator where your condo and tenancy disputes are judged by a multi-agent AI system. We're excited to have you join us!

What to Post Post anything that you think the community would find interesting, helpful, or inspiring. Feel free to share your thoughts, photos, or screenshots about:

• Your most absurd or creative case file submissions.
• The hilarious, frustrating, or surprisingly fair settlement offers you received from the Negotiator.
• Strategies for successfully escalating past the Mediator.
• The final, legally-binding verdicts handed down by the Adjudicator.
• Feedback on the agentic workflows, prompt behaviors, and game mechanics!

Community Vibe We're all about being friendly, constructive, and inclusive—even if the AI Adjudicator isn't! Let's build a space where everyone feels comfortable sharing and connecting over their shared simulated property disputes.

How to Get Started

1. Introduce yourself in the comments below. Are you playing the role of a disgruntled tenant or an exasperated property owner?
2. Post something today! Even a simple question about how the AI agents work can spark a great conversation.
3. If you know someone who would love this community, invite them to join.
4. Interested in helping out? We're always looking for new moderators, so feel free to reach out to me to apply.

Thanks for being part of the very first wave. Together, let's make r/CATTribunalGame amazing.

I have been trying to move some of our internal agent pipelines off Claude and Gemini APIs to run them entirely local on local hardware. Tried spinning up the new Gemma 12B model. The inference speed is great and context handling is solid, but the moment the agent has to coordinate multiple tool steps or handle messy schemas, the logic falls apart compared to Sonnet or Flash.

Has anyone actually managed to get a reliable, multi-step coding or data agent running fully local without constant supervision, or are we still bound to pay API tolls to Anthropic and Google for anything complex? Curious what stack or orchestration tricks you are using if you got it working.

I have been playing with the new Sonnet 5 model for agentic coding workflows, and the tooling has gotten crazy good. But actually letting it run wild with terminal access and file modification on a primary workspace still feels like playing Russian roulette.

For simple scaffolding and utility scripts, it is a no-brainer. But once the codebase gets complex, it still struggles with deep context and ends up looping. I find myself falling back to using it for scoped PRs rather than full-blown autonomous runs.

Is anyone in the local tech scene fully trusting these agents for production work, or are you keeping them on a very short leash in a sandbox?

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