About Expert Drip

About the Founder

Expert Drip is built and run by Tom Kaczocha — a solo builder focused on extracting and packaging the behavioral patterns that make top performers exceptional.

Tom spent his twenties training in Neuro-Linguistic Programming — earning Master Practitioner and Trainer certifications in the Neuro-Semantic lineage, where behavioral modelling is the core discipline. He then spent fifteen years as a software engineer in early-to-mid stage startups, building products from scratch.

Expert Drip came from combining those two threads. After years of studying how the best figures in the dev community actually operate — not what they say in interviews, but what their observable output reveals — he started packaging those behavioral structures into courses that install the patterns through deliberate practice.

You can find Tom on 𝕏 @tomkaczocha.

The Methodology

Every course on Expert Drip is built through behavioral modelling — a systematic method for reverse-engineering how experts actually operate. Not what they say they do. What they actually do.

Step 1: Observe

We gather everything publicly observable about an expert's behavior: interviews, demonstrations, output patterns, decisions under pressure, public data. The goal is volume and breadth — cast a wide net before applying any filter.

For example, the Steinberger course started with everything publicly observable about Peter Steinberger — long-form interviews, his commit history averaging 6,600 commits per month, the trajectory from PSPDFKit to a billion users, and the decision to drop 13 years of Objective-C/Swift expertise to go AI-native. That raw dataset is where the six elements came from.

Step 2: Isolate

We identify what's consistent and unique. What do they do every time? What distinguishes them from competent-but-ordinary performers? This is where the signal starts separating from the noise — not every habit is a load-bearing behavior.

In modelling Peter Steinberger for the engineering course, one of the most counterintuitive findings was that his default problem-solving move is subtraction — removing tools, abstractions, and processes — rather than adding them. He went from eight parallel agents with eighteen slash commands down to clear two-sentence instructions. Most engineers solve problems by adding layers. Steinberger removes them. That pattern showed up in every domain we examined and turned out to be one of the six load-bearing elements.

Step 3: Subtract

We strip away personality quirks and non-load-bearing habits until we find the minimum viable structure — the 3-7 elements where removing any single one degrades the skill. This is the hardest step: knowing what to remove.

The Steinberger model started with 47 candidate patterns. Nineteen survived the first filter. Then we ran systematic subtraction — removing each pattern one at a time and asking: would a competent engineer with the remaining patterns still produce these results? Absorption-state intensity, forward-only momentum, parallel agent orchestration, even the two-phase planning strategy — all ruled decorative. They were expressions of deeper patterns, not generators. What remained were six elements. Everything else was fuel or style, not engine.

Step 4: Install

We package the structure into audio courses with behavioral drills, so you can install the patterns through deliberate practice. Each module is designed around doing, not watching — you practice the behavior until it becomes automatic.

Installation means structured practice, not passive consumption. Each module ends with a behavioral drill — something you actually do, not something you watch. A typical course runs two to four weeks. You audit your own decisions, practice the patterns on real projects, and run a full cycle by the final module. The goal is not understanding — it is automatic behavior. When the patterns fire without conscious effort, the installation is complete.

Why This Works

Research consistently shows that experts cannot accurately explain what makes them great. The patterns that produce their results are largely unconscious — automatic behaviors they've never articulated. When they explain their process, they rationalize after the fact.

So we don't ask them. We observe. We work from observable behavior, not self-report. This is what makes Expert Drip courses fundamentally different from courses built from expert interviews or autobiographies.

Why Audio?

These courses are information-dense — they install behavioral structures, not demonstrate visual techniques. Audio lets you absorb the material during commutes, walks, or workouts without losing anything. Where audio alone is not enough, we provide workbooks for structured practice and an AI expert coach trained on the full model to guide your drills and answer questions in real time.

Expert Drip launched in 2026. As early students complete their courses, we will publish their results here.

Important Disclaimer

The experts referenced in our courses are not affiliated with, endorsed by, or involved in Expert Drip in any way. Our courses represent independent analysis and interpretation of publicly available information about their observable behavior.

The Company

Expert Drip is operated by Original Solutions Pty Ltd.

Get in Touch

Questions, feedback, or partnership ideas: hello@expertdrip.com