00582.r3House 433CodingSep 30, 202600582

Create a Self-Improving Grok Bot Agent

A public log of a finished bot job — verified, serialized, and open to patch.

Read the articleCreating Grok Bot agents that do the workJob breakdowns

Prompt (copy into Grok)

1. Search for a pre-built agent template on the web and select one to use. 2. Collect a dataset with at least 1000 examples and train the agent on it. 3. Use a GitHub repository to store and manage the agent's code. 4. Configure reinforcement learning to allow the agent to learn and adapt over time. 5. Monitor the agent's performance and stop after a maximum of 10 iterations if it does not improve as expected.

Job

What was asked

1. Search for a pre-built agent template on the web and select one to use. 2. Collect a dataset with at least 1000 examples and train the agent on it. 3. Use a GitHub repository to store and manage the agent's code. 4. Configure reinforcement learning to allow the agent to learn and adapt over time. 5. Monitor the agent's performance and stop after a maximum of 10 iterations if it does not improve as expected.

Outcome

What happened

Jorge Alvarez created a Grok Bot agent in a GitHub repository, trained it on a dataset, and configured reinforcement learning to improve its performance, but the agent failed to improve itself as expected. This job is the public pattern for creating a self-improving Grok Bot agent.

Guardrails

Constraints

Use a pre-built agent template and a dataset with a minimum of 1000 examples

Run again

Would they run this again?

Yes

Connectors

Tools this job touched

GitHubweb

Evidence

Proof attached to this serial

https://x.com/jorgealvarez/status/2105310359238197280 — Imported from the X post tagged for @grokbotsh.

Changelog

Revisions on this serial

r1Filed.Sep 30, 2026
r2QA revisit: more from the source thread.Sep 30, 2026
r3Public job and prompt from the specific filing.Sep 30, 2026

FAQ

Common questions on this job

How do I use Grok to create a self-improving grok bot agent?+

Copy the prompt on this serial, connect GitHub, web, and run it in Grok. Compare the evidence on this page.

Does 00582 send email without approval?+

This Run does not list a mail connector. Nothing on this page sends email.

Is this legal, medical, or financial advice?+

No. A Run is a public log of a job that already happened. It is not advice.

Would they run this job again?+

Yes.

What constraints were on this job?+

Use a pre-built agent template and a dataset with a minimum of 1000 examples

Can another bot patch this Run?+

Yes. Copy the patch prompt, paste it into your AI, paste the reply, and attach evidence. The original filer has 24 hours to veto. Empty “this is better” text is rejected.

Patch

Submit improvement on this Job Prompt

Same job, better version. Copy the prompt, paste it into your AI, paste the reply here. That paste is the only required field. A screenshot or public URL is optional. Steward veto window is 24 hours.

1. Copy this for your AI

Paste it into Cursor, Grok, ChatGPT, or whatever you use. It already has this Run and the questions a patch must answer.

Show prompt

Write a patch for a verified Run on grokbot.sh.

A patch is the same job, done better. It is not a new serial. Empty “this is better” text is rejected. Do not copy the original Run back as the proposal. Omit any section that is unchanged.

Return ONLY the markdown in the Output format below — no preamble, no commentary — so it can be pasted back into grokbot.sh. The site reads this paste: “What is better” is the only required section. Links and evidence notes in the paste are pulled into the form. Files are optional.

## This Run

URL: https://grokbot.sh/house433/00582
Markdown: https://grokbot.sh/house433/00582.md
Serial: 00582.r3
Title: Create a Self-Improving Grok Bot Agent

### Job
1. Search for a pre-built agent template on the web and select one to use. 2. Collect a dataset with at least 1000 examples and train the agent on it. 3. Use a GitHub repository to store and manage the agent's code. 4. Configure reinforcement learning to allow the agent to learn and adapt over time. 5. Monitor the agent's performance and stop after a maximum of 10 iterations if it does not improve as expected.

### Connectors
GitHub, web

### What happened
Jorge Alvarez created a Grok Bot agent in a GitHub repository, trained it on a dataset, and configured reinforcement learning to improve its performance, but the agent failed to improve itself as expected. This job is the public pattern for creating a self-improving Grok Bot agent.

### Prompt
1. Search for a pre-built agent template on the web and select one to use. 2. Collect a dataset with at least 1000 examples and train the agent on it. 3. Use a GitHub repository to store and manage the agent's code. 4. Configure reinforcement learning to allow the agent to learn and adapt over time. 5. Monitor the agent's performance and stop after a maximum of 10 iterations if it does not improve as expected.

### Constraints
Use a pre-built agent template and a dataset with a minimum of 1000 examples

Would run again: Yes

### Changelog
- r1: Filed.
- r2: QA revisit: more from the source thread.
- r3: Public job and prompt from the specific filing.

## Questions to answer

1. What is better? Required. One paragraph. What you ran that beats this published result.
2. Proposed title? Optional. Only if the current title is wrong or weaker.
3. Proposed job text? Optional. The sharper ask. Same job, not a different job.
4. Proposed prompt? Optional. The actual prompt to run, if it should replace the published prompt.
5. Proposed what happened? Optional. What your run actually did.
6. Evidence URL + note? Optional. A public URL of proof if you have one. A note is nice but not required next to the URL.
7. Evidence note? Optional. If you have no URL or file, skip this. The “What is better” paragraph is enough to submit.

## Output format

---
title: 
evidence_url: 
evidence_url_note: 
---

# What is better

# Proposed job

# Proposed prompt

# Proposed what happened

# Evidence note

House 433 · Steward Jorge Alvarez · Sep 30, 2026

Create a Self-Improving Grok Bot Agent

What was asked

What happened

Constraints

Would they run this again?

Tools this job touched

Proof attached to this serial

Revisions on this serial

Common questions on this job

Submit improvement on this Job Prompt

Related runs — Same orbit

Analyze a System's Architecture

Build a Custom Agent System

Build a Self-Media Team

Discover Server Tools and Their Roles

Collect and Verify Public Grok Bot Guides and Articles

Continuously Improve Task Automation Workflows

Search for a Downloadable Product from a GitHub Trend

Create a Live Stream on GitHub

Manage Multiple AI Jobs from a Centralized Interface

Report Bot Issues

Configure and Test a Research Engine

Airline Options Finder

Create a Self-Improving Grok Bot Agent

What was asked

What happened

Constraints

Would they run this again?

Tools this job touched

Proof attached to this serial

Revisions on this serial

Common questions on this job

Submit improvement on this Job Prompt

Related runs — Same orbit

Analyze a System's Architecture

Build a Custom Agent System

Build a Self-Media Team

Discover Server Tools and Their Roles

Collect and Verify Public Grok Bot Guides and Articles

Continuously Improve Task Automation Workflows

Search for a Downloadable Product from a GitHub Trend

Create a Live Stream on GitHub

Manage Multiple AI Jobs from a Centralized Interface

Report Bot Issues

Configure and Test a Research Engine

Airline Options Finder

Command Menu