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Elvis: Building AI Workflows - Own the Orchestrator, own the Harness
Key Takeaways: Elvis emphasizes the importance of owning the orchestrator and the harness for complex AI workflows the orchestration, the harness, routing capabilities, dynamic artifacts/workflows, verifiers, ability to switch/route between agent backends, automations, the skills, and the MCP tools would be the absolute best defense for what happened with Fable this week. The potential downside: high maintenance, might be too costly, and migth be unsustainable The bigger you
16. Juni2 Min. Lesezeit


SparkToro & similarweb: How Google Search Behavior Changed
Key Takeaways: SparkToro and Similarweb analyzed user data from the US from 01/26 to 04/26: Only 32% of searches result in a click, 29% in further searches and 39% of search sessions immediately end 66.6% of clicks in search to go organic search results, 27.3% to Google or rather Alphabet-owned features, 6.0% to paid ads While in 2016 55.0% of searches resulted in a click, in 2026 only 32.0% do - a drop of -41.8% Compared to 2024: Further searches grew by +7.3%, while clicks
10. Juni1 Min. Lesezeit


Peham: LinkedIn Citations in AI Chats analyzed - Pulse vs. Posts, and vs. YouTube
Key Takeaways: Peham/Otterly analyzed 1.3 million LinkedIn AI Chat citations from ChatGPT, Perplexity, Google AI Overviews and AI Mode: Linkedin's AI citations rose +49.9% between January to May 2026 from 7.8% to 11.7%. People's posts get 91.7% of citations, rest goes to company posts. LinkedIn Pulse articles get cited far more than posts. More engagement /adding media doesn’t increase citation BDP / measures for increasing LinkedIn AI citations: Publish pulse articles, not j
9. Juni2 Min. Lesezeit
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