Training
First Principles in Talent Sourcing
Learn Modern Sourcing (Or Find Out You Can't)
It's 2026.
Everyone is talking about AI sourcing tools, automation, prompt engineering. “AI will replace recruiters.”
And yet — recruiters are still failing sourcing interviews.
I see it all the time. They submit an assignment. They feel confident. “This is strong.” Then they get rejected. And they don't know why.
The uncomfortable truth
AI didn't fix sourcing. It exposed who actually understands it.
Because if you don't understand first principles:
- ✕AI gives you better-looking bad results
- ✕Your searches are still flawed
- ✕Your candidate selection is still weak
Hiring teams see through it instantly.
What's happening right now
There are now two types of recruiters and most people miss which one they are.
Tool-driven recruiters
- —Rely on AI outputs
- —Copy prompts, generate lists
- —Look productive
- —Don't understand what they're doing
They plateau fast.
Principle-driven (top 1%)
- →Understand how sourcing actually works
- →Use AI as leverage, not a crutch
- →Think in systems
- →Get better roles, pass interviews easily
These people are killing it right now.
Why this matters now
AI is not the advantage anymore. Understanding is.
Anyone can generate a Boolean string, a list of candidates, a sourcing message.
Very few can judge quality, identify real talent, or adapt when the search fails. That's what companies actually pay for, and in 2026, that gap is getting bigger, fast.
This training moves you into the second group. If you get it right: you combine first principles with AI, you become extremely hard to replace, and you access better opportunities — because companies are actively looking for recruiters who can actually think.
The First-Level Principles of Modern Sourcing
What top 1% recruiters understand (and most don't). These are the mental models the training is built on. Each principle is simple. Most recruiters violate all of them.
1The Set Theory Principle
Sourcing is not keywords. It's sets.
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The Set Theory Principle
Sourcing is not keywords. It's sets.
Most recruiters type keywords and hope. Top recruiters define sets of candidates and combine them deliberately.
- AND = intersection
- OR = expansion
- NOT = exclusion
If you don't think in sets, your searches are random.
2The Signal vs Noise Principle
Keywords don't matter. Evidence does.
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The Signal vs Noise Principle
Keywords don't matter. Evidence does.
Most recruiters match keywords. Top recruiters look for proof of real capability.
- “Python” = noise
- “Built a real-time system processing X events” = signal
If you can't separate signal from noise, you pick the wrong people.
3The Proxy Principle
You never search directly for the thing.
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The Proxy Principle
You never search directly for the thing.
You don't search for “great engineer”. You search for environments that produce great engineers — companies, tech stacks, domains.
If you search directly, you miss the best candidates.
4The Distribution Principle
Talent is not evenly spread.
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The Distribution Principle
Talent is not evenly spread.
Most recruiters search broadly. Top recruiters know where talent clusters — specific companies, specific regions, specific ecosystems.
Where you search matters more than how you search.
5The Iteration Loop Principle
Sourcing is not a search. It's a loop.
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The Iteration Loop Principle
Sourcing is not a search. It's a loop.
Most recruiters run one search and stop. Top recruiters search → analyze → refine → repeat.
If your search doesn't evolve, it stays weak.
6The Representation Principle
Profiles are not reality.
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The Representation Principle
Profiles are not reality.
Profiles are incomplete, biased, and optimized for visibility. Top recruiters interpret — they don't just match.
Absence of a keyword ≠ absence of skill.
7The Tool Abstraction Principle
Tools don't matter. Models do.
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The Tool Abstraction Principle
Tools don't matter. Models do.
Most recruiters depend on tools. Top recruiters understand the system behind them.
If LinkedIn disappeared tomorrow, could you still source?
8The AI Amplification Principle
AI doesn't fix bad sourcing — it scales it.
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The AI Amplification Principle
AI doesn't fix bad sourcing — it scales it.
AI can generate searches and suggest candidates. But it cannot define the right problem or judge real quality.
- Weak thinking + AI = faster mistakes
- Strong thinking + AI = massive leverage
9The Conversion Principle
Finding candidates is only half the game.
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The Conversion Principle
Finding candidates is only half the game.
Most recruiters optimize for number of profiles. Top recruiters optimize for response and engagement.
A perfect list with no replies is still failure.
If you skip the first principles, AI won't save you
Every AI tool, every prompt library, every automation shortcut... they all assume you already understand the fundamentals. If you don't, learning more AI won't move you into the top tier. It will just make your mistakes faster and harder to spot. The recruiters who reach the top 1% don't get there because they use better tools. They get there because they know the core principles cold and then use AI on top of that.
What you'll learn (and actually practice) with Michal
1 — Introduction
- Welcome
2 — Sets, not keywords
- Sourcing is sets, not keywords
- AND, OR, NOT — the three set moves
- Briefs, mistakes, and required vs preferred
- Set logic first — then tools, mapping, and AI
- Set theory: worked examples
- Set theory: exercises and assignment
3 — Signal vs noise
- Keywords are not enough — evidence is
- What is noise, what is signal
- Typical mistakes, context, and consistency
- Signal in different jobs, and AI’s limits
- Signal: worked comparisons
- Signal: exercises and assignment
4 — Smart proxies
- Use proxies wisely
5 — Boolean from scratch
- Build Boolean from ideas
6 — Search loops
- Loops, not one-shot searches
7 — Where talent sits
- Map where talent actually sits
8 — Pipelines that ship
- Pipelines you can stand behind
9 — Defend your shortlist
- Justify every shortlist
10 — AI as a multiplier
- Use AI the right way
What you get
Full 3-week structured curriculum
2× 30-min 1-on-1 calls with Michal
Private workgroup — upload assignments, get direct feedback, see how others think
Pricing
The full program. You get the 3-week curriculum, two 30-minute 1-on-1 calls with me where we focus on your specific gaps, and access to the private workgroup where you can upload your work and get direct feedback.
Most people start here. It's enough to build a solid foundation and significantly improve your sourcing thinking.
Everything in Training, plus one extra thing: you get a real sourcing assignment from a high-tech company — the kind that gets sent to candidates in actual hiring processes. You complete it, submit it, and I give you honest 1-on-1 feedback on exactly what you did well, what you missed, and whether you would have passed.
If you're actively preparing for interviews or want to know exactly where you stand, this is the one to get.
Who this is for
- Recruiters failing sourcing interviews
- Recruiters overwhelmed by AI tools but not improving
- Recruiters who want to reach top-tier performance
Who this is NOT for
- ✕People looking for shortcuts
- ✕People who want prompts instead of thinking
- ✕People avoiding honest feedback

Why trust me
Michal Juhas
Most people teaching sourcing today learned it afterAI tools appeared. I didn't. I built my sourcing skills before ChatGPT — when if your thinking was wrong, you simply failed.
- →Trained thousands of recruiters through webinars and courses at the Tech Recruitment Academy
- →Reviewed hundreds of sourcing assignments — real hiring decisions
- →Recently interviewed recruiters for a trading company with an extremely high bar
- →100+ sourcing webinars organized before ChatGPT existed
⚠️ Brutal honesty upfront
This is not a “learn ChatGPT prompts” course. By the end of this training, you will either understand sourcing at a deep level — or you will clearly see why you've been struggling. No hiding behind AI. No hiding behind tools.
Ready to move into the top 1%?
Two packages available — Basic and Pro with Interview Prep.
Enroll now