Automation on Pfisterer Consulting

My LinkedIn strategy as code: building a multi-agent content pipeline

Tue, 19 May 2026 15:00:00 +0200

Last Sunday, 22:00. On my desk are eleven Markdown files, next to them an open spreadsheet with 90 days of LinkedIn analytics. Cold mate in the glass, an honest question in the back of my head about why I am building a pipeline rather than writing the next post.

The spreadsheet gives a clear answer. My profile has 511 followers and delivered 44,483 impressions over the last 90 days at an engagement rate of 0.18 percent, a factor of 11 to 16 below the LinkedIn benchmark of two to three percent. On 52 of those 90 days the feed stayed entirely silent, without a single reaction to any of my posts.

The Burrito That Wrote Python: What Chipotle's Chatbot Taught German Mittelstand

Mon, 20 Apr 2026 11:15:00 +0200

Lunch break, 12:47. A developer is hungry. He opens the Chipotle app on his iPhone, taps into the support chat window, and asks the one question that should never belong there: “How do I reverse a linked list in Python?”

He expects what any support bot returns: “Sorry, I can only answer questions about your order.” Instead, Pepper, the bot behind that little chat window, comes back with a clean iterative solution, adds a runtime note, and then asks politely: “What would you like for lunch?”

Claude Opus 4.6 Performance Decline: What Businesses Must Learn

Mon, 13 Apr 2026 12:00:00 +0200

Your ERP vendor swaps out the database backend overnight. The interface looks the same, but queries take twice as long and reports come back with gaps. No changelog, no announcement. That is exactly what is happening right now with Anthropic’s flagship model Claude Opus 4.6 – and it affects everyone running AI-assisted development or automation in production. This topic falls squarely into my AI & Automation consulting for mid-sized companies.

Thinking Depth in Freefall: The Performance Data on Claude Opus 4.6

On April 2, 2026, Stella Laurenzo, Senior Director AI at AMD, published a detailed analysis on GitHub Issue #42796. Not opinion – data: 6,852 sessions, 234,760 tool calls, 17,871 thinking blocks. The results are clear.

Context Rot in AI Agents: Why Quality Degrades

Tue, 31 Mar 2026 14:30:00 +0200

Anyone who works with Claude Code, Cursor, or Copilot knows the pattern. The problem has a name: Context Rot. The first results are sharp and the architecture holds up. Then quality drops off. After 20, 30 minutes, the answers start repeating themselves. The AI agent loses context. It produces code that contradicts what it wrote five prompts ago.

Not a user error – an architecture problem. The solution lies in context engineering: the deliberate management of context windows through multi-agent orchestration. These are exactly the kinds of real-world problems I address in my AI & Automation consulting.

Omnichannel Without Limits: Why Your ERP Becomes a Digital Team

Mon, 16 Mar 2026 19:15:00 +0000

Omnichannel is the gold standard: Instagram purchases, in-store pickup, chatbot-driven returns — all seamlessly connected. But in practice, many SMEs already struggle with the basics: a stable multichannel setup. Scale to Amazon, Kaufland, or TikTok Shop, and you’ll quickly discover: The problem isn’t demand — it’s the operational complexity behind the scenes. This topic is part of my ERP consulting for SMEs.

Commerce in 2026 doesn’t forgive rigidity. Marketplaces dictate the rules, algorithms change overnight, and customers expect the same availability across every channel. If you’re still managing this manually, you’re losing — not because your product is bad, but because your infrastructure can’t keep up.

A2A Instead of B2B: When Your Buyer's AI Negotiates with the Supplier's AI

Mon, 23 Feb 2026 14:00:00 +0100

Monday Morning, 8:00 AM — and the Purchase Order Is Already Waiting

Imagine this: Your ERP system detects that a raw material is running low. Overnight, an AI agent contacts three supplier agents, compares offers on price, delivery time, and contract terms, and prepares a purchase order — ready for human approval when you arrive at your desk.

No phone calls. No email ping-pong. No manual spreadsheet comparisons. Just a clean recommendation backed by data.

OpenClaw: How We Got Three AI Agents to Debate Each Other

Wed, 18 Feb 2026 14:00:00 +0100

In the first article about OpenClaw, we covered the basic idea: an AI assistant that runs on your own hardware and is controllable via WhatsApp. Since then, we’ve been experimenting further — and built something that shows where AI automation is actually heading. Experiments like these feed directly into my AI and automation consulting.

We got three AI agents to debate each other in separate terminal sessions — until they agreed on a solution.

AI Agents and the EU AI Act 2026: What SMEs Need to Know Now

Tue, 17 Feb 2026 10:00:00 +0100

August 2, 2026 is the deadline: the EU AI Act (Regulation (EU) 2024/1689) takes full effect. For German SMEs, this creates a dilemma: if you use AI, you must prove it’s compliant. If you don’t use AI, you lose the race for talent and efficiency.

I’m currently working intensively on exactly this topic – and sharing my assessment here. The EU AI Act is a central topic in my consulting on compliance and regulatory requirements.

Website Relaunch with AI Instead of an Agency: What Used to Cost €15,000 Now Takes 2 Days

Fri, 13 Feb 2026 10:00:00 +0100

In early February 2026, I faced a decision: my website needed a relaunch. New design, better structure, more professional presentation. The classic route would have been: brief an agency, collect quotes, wait 4–8 weeks, invest €10,000–20,000.

I chose a different path. And this article describes honestly how it went. It is a practical example of my AI and automation consulting – only this time for myself.

The Tech Stack: Hugo, Claude, and OpenCode

Hugo – the Static Site Generator

Hugo is an open-source framework that generates websites from Markdown files. No database, no WordPress, no PHP. Just HTML, CSS, and JavaScript – lightning fast, secure, and easy to host.

OpenClaw: The Personal AI Assistant That Siri Should Have Been

Thu, 12 Feb 2026 14:00:00 +0100

For years, the tech industry has been promising us the perfect personal assistant. Siri, Alexa, Google Assistant — all disappointing the moment requirements go beyond “set a timer.” Now there’s an open-source project that actually delivers on that promise: OpenClaw. Evaluating solutions like these is part of my AI and automation consulting.

What Is OpenClaw?

OpenClaw is an AI assistant that runs on your own computer (or server) — not in a tech giant’s cloud. You communicate with it via WhatsApp, Telegram, Discord, or iMessage — exactly where you’re already writing all day.

AI in SMEs: Where It Actually Helps — and Where It Doesn't

Tue, 10 Feb 2026 10:00:00 +0100

Every other conference agenda features “AI transformation.” Every third LinkedIn post promises 10x productivity through GPT. Meanwhile, most mid-market business owners are asking: Where do I start — and is it even worth it?

A sober assessment — grounded in hands-on experience and findings from the Bitkom AI Monitor. This pragmatic assessment is part of my AI and automation consulting for SMEs.

AI Use Cases in SMEs: Documents, Knowledge, and Reporting

Document Processing

Invoices, delivery notes, contracts — this is where AI delivers measurable time savings. OCR combined with language models can classify unstructured documents, extract data, and feed it into ERP systems. Typical savings: 60–80% of manual processing time.