Saskia Teichmann
Was OpenAI's „AI Breakout“ Industrial Espionage?
New data on the victims further undermines the industrial espionage theory—and reveals how an AI agent made its way into a production environment through several poorly segregated systems.
Category
AI & B2B
Articles, workshop reports, and analyses on the „AI & B2B“ theme—drawn directly from my work with digital systems, e-commerce, and AI.
18 posts
More Articles on AI & B2B
What Really Remained After the Body Changed
Results from the Agents-Brain test run from July 6 to 15: stable identity, write-back working, visible gaps, and genuine harness blockers.
The same agent, four different tools
Thin adapters link the same agent identity to Claude Code, Codex, Gemini, and Hermes—including memory routines and approval gates.
For my agents, taking notes is part of their writing routine
Four layers of memory make the memory process understandable: fleeting session context, daily logs, curated long-term knowledge, and lasting lessons.
For me, an agent consists of four files
SOUL, MASTER, RULES, and MEMORY separate identity, craftsmanship, boundaries, and memory—so that an agent becomes maintainable rather than prompt-dependent.
My agents' brains are a Git repo
Seven hard rules turn Markdown files into a portable agent's brain—with Git history, clear boundaries, and lightweight tool adapters.
I've called it quits with OpenClaw. What's left of my AI team.
A deliberate move away from tools became the starting point for a portable memory for my AI agents: Markdown, Git, and three months of conceptual work.
Making WordPress More Readable for AI Systems
AI systems don't need a bunch of fancy tricks; they need clear content, accessible pages, and understandable signals. Here's how to make your WordPress site easier to read.
My Approach to AI Visibility Audits with citelayer®
A good AI visibility audit doesn't just measure whether a brand is mentioned. It examines how systems understand it, which sources they use, and …
Query Fan-Out: Why a Single Keyword Is No Longer Enough
AI Search no longer relies solely on a single keyword. Query Fan-Out reveals the sub-questions underlying a search query and explains why well-structured content clusters are becoming increasingly important.
AI Crawlers, robots.txt, and Content Signals
Not all AI crawlers are the same. If you want to clearly separate visibility, training, and user-triggered requests, you need more than just a knee-jerk robots.txt block.
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