---
title: "Engine Room, Reading path | StudioMeyer"
description: "8 articles on Engine Room, from first steps to the deep end."
canonical: "https://studiomeyer.io/en/blog/topics/maschinenraum"
language: en
image: "https://studiomeyer.io/en/blog/topics/maschinenraum/opengraph-image?c77d4b9ae9df2d9f"
markdown_versions: ["https://studiomeyer.io/de/blog/topics/maschinenraum.md", "https://studiomeyer.io/en/blog/topics/maschinenraum.md", "https://studiomeyer.io/es/blog/topics/maschinenraum.md"]
publisher: "StudioMeyer, https://studiomeyer.io (llms.txt: https://studiomeyer.io/llms.txt)"
---

[All articles](https://studiomeyer.io/en/blog)

Reading path

# Engine Room

8 articles on Engine Room, from first steps to the deep end.

![What We Actually Work With](https://studiomeyer.io/blog/arbeitssystem-editor-modelle-werkzeuge.webp)

From the Workshop

August 5, 20268 min

## What We Actually Work With

An editor, two model families side by side, and a layer of recipes, rules and hard stops. The part talked about least and carrying the most.

Read more

https://studiomeyer.io/en/blog/arbeitssystem-editor-modelle-werkzeuge

![A Learning Platform Run By Agents](https://studiomeyer.io/blog/academy-von-agenten-betrieben.webp)

From the Workshop

July 14, 20267 min

## A Learning Platform Run By Agents

The Academy has no editorial team. It has a group of agents that propose topics, write, review each other and watch visibility. What works about it and what does not.

Read more

https://studiomeyer.io/en/blog/academy-von-agenten-betrieben

![How Do You Measure Whether An AI Knows Your Site?](https://studiomeyer.io/blog/geo-werkzeug-sichtbarkeit-messen.webp)

From the Workshop

July 6, 20267 min

## How Do You Measure Whether An AI Knows Your Site?

Search engines give you numbers. Language models barely do. We built a tool that asks the question instead of asserting the answer.

Read more

https://studiomeyer.io/en/blog/geo-werkzeug-sichtbarkeit-messen

![Every Business Gets Its Own AI Agent](https://studiomeyer.io/blog/meetmyagent-jeder-hat-einen-agenten.webp)

From the Workshop

July 2, 20267 min

## Every Business Gets Its Own AI Agent

Website chatbots answer very little, and more and more often an AI asks instead of a person. Why MeetMyAgent gives every business its own agent, and what stays hard-wired.

Read more

https://studiomeyer.io/en/blog/meetmyagent-jeder-hat-einen-agenten

![Multiple Agents, One Task: Separate Roles and Review](https://studiomeyer.io/blog/crew-mehrere-agenten-eine-aufgabe.webp)

From the Workshop

June 30, 20266 min

## Multiple Agents, One Task: Separate Roles and Review

Crew splits a task across roles. How separate review assignments can help and why improvement must be measured.

Read more

https://studiomeyer.io/en/blog/crew-mehrere-agenten-eine-aufgabe

![The Problem With A CRM Is Not The CRM](https://studiomeyer.io/blog/crm-das-im-chat-lebt.webp)

From the Workshop

June 18, 20266 min

## The Problem With A CRM Is Not The CRM

Contact maintenance often fails because of the effort. Our CRM uses chat as its main entry point, complemented by an interactive dashboard.

Read more

https://studiomeyer.io/en/blog/crm-das-im-chat-lebt

![Agents That Improve Their Own Instructions](https://studiomeyer.io/blog/darwin-agenten-die-sich-selbst-verbessern.webp)

From the Workshop

June 8, 20268 min

## Agents That Improve Their Own Instructions

Darwin evolves agent instructions and compares challengers with incumbents. Default thresholds, optional statistics and rollback. Open source.

Read more

https://studiomeyer.io/en/blog/darwin-agenten-die-sich-selbst-verbessern

![A memory that only collects is a haystack](https://studiomeyer.io/blog/memory-warum-wir-es-selbst-gebaut-haben.webp)

From the Workshop

May 12, 20268 min

## A memory that only collects is a haystack

Why we built our own AI memory: search, weighting, contradictions and the rules for maintenance and retention.

Read more

https://studiomeyer.io/en/blog/memory-warum-wir-es-selbst-gebaut-haben

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