--- title: "Engine Room, Reading path | StudioMeyer" description: "10 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 10 articles on Engine Room, from first steps to the deep end. ![The Engine Room: What an AI Studio Runs on Its Own Systems](https://studiomeyer.io/blog/maschinenraum-was-wir-selbst-betreiben.webp) From the Workshop August 9, 20268 min ## The Engine Room: What an AI Studio Runs on Its Own Systems Memory, agents, a platform, a learning site, three tools and the working system underneath. Everything that runs at a client runs here first. The opening of a series in six parts. Read more https://studiomeyer.io/en/blog/maschinenraum-was-wir-selbst-betreiben ![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 ![An Agent Fleet, Sorted By Job](https://studiomeyer.io/blog/agenten-flotte-wer-macht-was.webp) From the Workshop July 28, 20268 min ## An Agent Fleet, Sorted By Job We do not run a collection of bots but a fleet with roles: leadership, engineering, content, visibility, operations, review. What each group does and why they are separate. Read more https://studiomeyer.io/en/blog/agenten-flotte-wer-macht-was ![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 ![Why Three Agents Beat One That Can Do Everything](https://studiomeyer.io/blog/crew-mehrere-agenten-eine-aufgabe.webp) From the Workshop June 30, 20266 min ## Why Three Agents Beat One That Can Do Everything An agent that researches, writes and reviews reviews nothing. Crew splits one job across roles, and the reviewer is allowed to reject. 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 systems fail at maintenance, not at features. So we built one that lives inside the chat window instead of in an interface of its own. 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 lets agents evolve their own instruction text, tests challengers against the incumbent, and only switches when the difference is real. 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 The hard part of an AI memory is not storing. It is forgetting, weighing and resolving contradictions. Why we built ours ourselves. Read more https://studiomeyer.io/en/blog/memory-warum-wir-es-selbst-gebaut-haben From practice We write about what we build every day. If you need this for your business without learning it yourself: [AI Solutions](https://studiomeyer.io/en/ki-loesungen) ## Sitemap Every page of this site as Markdown: [sitemap](https://studiomeyer.io/sitemap.md). Curated entry point: [llms.txt](https://studiomeyer.io/llms.txt).