Wissenswertes

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

Key Takeaways: Tran ran a nice experiment on PDF extraction, especially for tables, using different models/libraries In short: LlamaParse wins on speed and accuracy. It’s the fastest overall and produces the cleanest output, but it requires sending PDFs to LlamaCloud. Marker is the best local option. It’s faster than Docling and handles simple tables well, but it merges columns on dense layouts. Docling is the slowest of the three and prone to hallucinating values on dense ta

Key Takeaways: Google Chrome introduced its MCP and Google Chrome Canary 150.x now supports WebMCP while adding a "agentic-browsing" category to Lighthouse 13.3.0 audits WebMCP + Lighthouse: whether the page exposes a clean accessibility tree which WebMCP tools are registered (imperative + declarative form tools) whether their input schemas validate form coverage - which <𝚏𝚘𝚛𝚖> elements are annotated for agents and which are invisible to them whether your llms.txt follows

Key Takeaways: Profound introduced its new partnership with Noble to offer automated Guest Posts and Brand Mentions based on cited sources for a given prompt set in LLM chats Now, you can build an Agent that: Knows the prompts that matter most to your brand Finds the third-party sources AI platforms are citing for those prompts Filters to the citations where your brand is not mentioned And exports those citation domains directly to your Noble workspace Then, Noble reaches out

Key Takeaways: Screaming Frog released version 24.0 of their crawler tool and they dropped a bomb with lots of incredible features: Local MCP: integrate Screaming Frog crawls into your agentic workflows. Of course there need to be some improvements as you currently cannot control lots of important crawl settings AND cannot create crawl configs using the MCP - still, lots of opportunities analyzing crawl data with Claude Auto-compare + Email notifications: You can now setup ma

Key Takeaways: Google introduced Gemma 4 , a state-of-the-art model with 256K context, Open-Source on Apache 2.0 license , that can be run locally as it only needs less space: 31B - full reasoning, runs on a workstation 26B MoE - fast, activates only 3.8B params per inference E4B / E2B - runs on a phone, offline, real-time audio + visio Google published their new compression algorithm TurboQuant that opens the door to new local developments and use cases: TurboQuant: Our

Key Takeaways: Grimm on next level crawling possibilities for Agents: Cloudflare /crawl REST API offers crawling based on Cloudflare infrastructure: "𝗖𝗹𝗼𝘂𝗱𝗳𝗹𝗮𝗿𝗲 𝗷𝘂𝘀𝘁 𝗰𝗼𝗺𝗺𝗼𝗱𝗶𝘁𝗶𝘇𝗲𝗱 𝘄𝗲𝗯 𝗰𝗿𝗮𝘄𝗹𝗶𝗻𝗴" REST API with POST request to initiate crawl and GET to retrieve results Sitemap or Spider crawl mode Javascript rendering in headless browser Result as HTML, markdown or JSON with using a prompt against the crawled pages incremental crawling (only

Key Takeaways: Google and Microsoft promote WebMCP as a new W3C standard for browsers and agents to interact with websites easily and reliably Volpini: Schema.org gave us the nouns, WebMCP will give us the verbs While WebMCP is the frontend technology to describe options of interactivity, ACP and UCP enable agentic features on the server-side Google explains: WebMCP proposes two new APIs that allow browser agents to take action on behalf of the user: Declarative API : Perfo

In this post I collect interesting mini-tools for SEO/GEO: Last updated: 27.02.2026 Category Tool Description Tech Stack Creator Internal linking ONE Link Intelligence https://one-link-intelligence.streamlit.app/ Calculates scores based on Screaming Frog + Embeddings Crawl Streamlit App numpy/FAISS Kremer (ONE) Content Analyzer ONE Semantic Content Map https://onebeyondsearch-content-cluster-visualizer.streamlit.app/ Identify Content Cluster and Outlier based on Screaming Fro