Hey gents, Claude Sonnet/Opus 4 were deprecated recently, so if you run automations on it I would double check.

Hopefully this is a learning lesson for everyone, recently swapped from zapmail to an inbox provider that offered a much cheaper model (subscription + domains, inboxes are free). I've come to learn that over the last 4-5 weeks, the deliverability issues my campaigns have experienced is entirely on them, because the sending IP is burned (verified by checking the reason emails bounced from instantly). Let this be a lesson to not be cheap and let it be more expensive.

Hello 👋👋👋 I am able to help a few people obtain the Claude Certified Architect (CCAF) at no cost. Please email me at peterv@metamorfeus.com ... otherwise, will probably miss your message here. Training & certification is restricted to Claude Partners only (my company is Claude Partner). I cannot utilize all of the spots allocated, and passing this opportunity to few of you who are motivated to learn from the most advanced AI company. Thanks, Peter P.S. Please don't leave message for me here I rarely login skool - instead email me directly.

I am working on extracting structured legal information from judicial decisions/providencias. The dataset is mixed: some PDFs already contain selectable text, while others are scanned images and need OCR. Our current approach is evidence-first: upload documents privately, extract document summaries, page-level snippets/source spans, and structured legal facts, then only promote facts when they can be traced back to the original document, page, and fragment, with human review where needed. I would appreciate advice on the most accurate but cost-efficient architecture for this. My instinct is to first detect whether a PDF has usable text, use cheap text extraction when possible, run OCR only on scanned pages, then apply a strict structured extraction schema and a second verification step against the source spans. Are there specific OCR/layout tools, open-source pipelines, model-routing strategies, or benchmark methods you would recommend to maximize legal extraction quality while keeping costs low?

When I first started I sold the product. I tried to sell Shopify Shops with Chatbots. Customers told me: "Ohh my Wife can handle the customer service".. That was because I didn't try to sell the real outcome/value of an AI chatbot. Later I told them, that the chatbot will answer every questions in seconds and make the buying decisions much easier for customer. In other words "The chatbot will increase your Conversions" Then I gave them a trial and see, they where impressed. Then I charged them extra. So dont matter what you are selling. Sell the damn outcome.