I'm automating a sales proposal software that takes the transcript from appointments with sales reps, extracts structured data and matches tasks based on a pricing index of over 40 actions for accountants. This then goes into Airtable for review from a senior with quotes from the transcript as reasoning. My issue is I need to get my extraction process to be more accurate, and I have written a script that automates pulling the proposal from ignition and the script and pairs them together but in some examples because of discounts for loyalty or other reasons it means that the harness cannot be thorough enough. I am rather new to this, so how do people usually setup harnesses to verify accuracy and see where improvements are needed. Thanks.

Hi, trying to build a RAG within Azure, however have never used the software before. Does anyone have tips on how to learn, and can anyone map out how complicated this task would be?

Most people think “AI automation” means complex coding and advanced tech. In reality, you can start with a few simple, no‑code workflows that immediately save you time every day. Here are 5 easy AI automations you can set up in under 30 minutes: 1. Auto‑reply to common emails • Collect your most common questions (pricing, requirements, appointment times, etc.). • Use an AI tool (like ChatGPT + Zapier/Make) to draft a polite reply based on a template. • Trigger: when an email contains certain keywords (e.g. “fees”, “requirements”), send an AI‑generated reply. 2. AI‑generated social media captions • Prepare a simple form: topic, key point, tone (formal/friendly). • Send this to an AI model to generate 3–5 caption options automatically. • You just review and schedule instead of writing from scratch every time. 3. Meeting notes and action items • Record your Zoom/Google Meet call. • Use an AI transcription tool to summarize the call and extract action points. • Store summaries in Notion/Google Docs so your team can review quickly. 4. Lead qualification assistant • When someone fills a form on your website, send their answers to AI to classify: “hot”, “warm”, or “cold” lead. • The AI can also draft a personalized follow‑up email based on their answers. 5. Content repurposing • Take one long‑form content (blog, video script, webinar notes). • Use AI to turn it into short posts, carousels, and email snippets. • One content becomes 5–10 new pieces with almost no extra effort.

Let the comments on this post be proof that Ai Saas/Ai automation is not just empty hype. Share real cases (not necessarily yours) that really work and make money. The most important condition: there must be users or income. Important: do NOT ad yrslf, do NOT leave direct links, respect Nate and the rules of his community. my example: a tool that automates posting to linkedin by 95%. you talk for 10 minutes, tell about your results for the week and your thoughts, get 5 high-quality posts, you just have to make some adjustments and schedule. This is my friend's saas with real customers who PAY. your turn. If you have nothing to share, please like👍 it so that more people can see the post and it will be more useful

I have always wounded this but, which is better Claude Code or Codex. I’ve heard that Claude Code is better but, there may be some things Codex shines in that Claude Code doesn’t overlap in. Curious to hear someone’s opinion.