I see this a lot in teams working with data + AI. Pipelines are busy. Events flowing. Running analysis and nurturing. Dashboards updating. Yet when a real decision needs to be made, people still ask: “Can someone look into this?” That’s a signal something’s off. A busy pipeline doesn’t mean a useful pipeline. Here’s the common issue, in simple terms: Most pipelines are built to move data, not to support decisions. They focus on: • ingesting everything • transforming everything • storing everything But they forget to ask one basic question early: 👉 What decision is this data supposed to help us make? When that’s unclear, pipelines become noisy. A healthier pipeline looks like this: Decision first Example: “Do we intervene when user churn risk increases?” Minimal signals Only ingest data that actually affects that decision(not everything you can track). Clear thresholds At what point should the system alert, act, or stay quiet? Simple output Not a dashboard. A recommendation, alert, or action. This is where AI actually helps —by filtering noise, summarizing context, and pointing to what matters now. Busy pipelines move data fast. Good pipelines move understanding fast. Data alchemy isn’t about making pipelines bigger. It's about making them calmer, clearer, and decision-ready.

I'm really sorry to hear that Dave has decided to shut down the Skool, although the reasons are comprehensible. Is there any chance to preserve the teaching material, the classes, videos, links? Thanks for all the efforts!

Despite thousands of bots, gurus and coaches telling you otherwise, making filthy amounts of money (the famous six-figures) on youtube or any other platform has similar chances than winning the lottery. To have enough visitors to earn money you need people. And if everybody is working on their own channel, spending countless hours creating content and labelling it so the algorithm can make it surface, who is going to watch your videos? Spending insane amount of money on coaches or courses that "guarantee" richness or great amount of money in no-time is one of the safest paths to bankruptcy or debt you could even get. No one gets rich overnight. No one gets rich playing by the rules. No one gets rich without contacts in places of power. There's no such thing as self-made-rich. These pills may be hard to swallow, but it's what it is. Don't let them blind you.

Everyone wants real-time pipelines. Very few ask: What decision actually needs to happen in real time? Streaming data without interpretation is just noise at higher velocity. A mature data system separates data speed from decision speed. Here’s how advanced stacks do it: 1️⃣ Signal Timing Classification Signals are labeled as: • immediate (fraud, outages) • short-term (pricing, allocation) • long-term (strategy, retention) Not everything deserves urgency. 2️⃣ Interpretation Windows Each signal gets a time window: • seconds • minutes • hours This prevents reacting too early to unstable patterns. 3️⃣ Confidence Accumulation Decisions trigger only after: • enough corroborating signals • sufficient confidence buildup Speed without confidence destroys trust. 4️⃣ Action Throttling Systems limit how often decisions can fire. This avoids oscillation and overcorrection. 5️⃣ Post-Decision Review Every real-time decision is reviewed later: • was speed actually beneficial? • would delay have improved outcome? This trains judgment over time. Data alchemy isn’t about faster pipelines. It's about timed intelligence. Knowing when to decide is more valuable than knowing what happened.

Installation (cmd prompt or terminal) : → winget install Microsoft(dot) FoundryLocal (Windows) → brew install microsoft/foundrylocal/ foundrylocal (macOS) Create Al agents that run locally on your machine, no sharing any data with third-parties. https://learn.microsoft.com/en-us/azure/ai-foundry/foundry-local/what-is-foundry-local?view=foundry-classic