The whole thing is automated. Take the assessment, link a short YouTube explainer of you and your work, and point us at your GitHub. The best of the best hear back fast.
Step 1 · Prove it
Skills & knowledge check.
No trick questions — just the fundamentals a 1-percenter knows cold. Answer all 13, then grade yourself.
01
You need an agent to run a multi-step task reliably in production. What matters most?
02
What does retrieval-augmented generation (RAG) add over a base LLM?
03
A paid-ads automation must adjust bids hourly from performance data. Cleanest approach?
04
You prototyped fast with AI codegen. Before it ships to production, you…
05
Serving thousands of agents on LLMs, your biggest cost/latency lever is usually…
06
You need to ship a risky change without blocking the team. Best practice?
07
An agent calls a tool that sometimes times out and is NOT idempotent. Safest design?
08
Your RAG system retrieves relevant docs, but answers are still stale. Most likely fix?
09
Hybrid search (vector + keyword) usually beats pure vector search because…
10
A high-volume classification step is expensive on a frontier model. First thing to try?
11
Your agent browses untrusted web content, then takes actions with its tools. Biggest risk?
12
An automated bidding loop adjusts ad budgets from ROAS. What's non-negotiable?
13
Long agent runs degrade as context fills with history. Best practice?
Step 2 · Show your work
Introduce yourself and your work.
Link a short YouTube explainer video of you and what you've built, point us at your GitHub, and show us the products you've shipped on your own.
Three doors. Pick yours.
Run the OS, license the OS, or use it yourself.
Talk to a real strategist — not a chatbot. We'll show you exactly how Hydra OS would work for you, your agency, or your team.
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