Design it, and be hireable

The last mile: design agentic systems (not just call a library) — knowing the patterns and when a plain workflow wins — build them to production standards, and convert everything into interview-ready capability: ML system design, concepts, DSA, and a portfolio you can narrate in two minutes. This is where the whole roadmap becomes a job.

🧠 Understandprose-first explainers
🎮 Drivebreak it in the browser
✍️ Checkquiz with why-feedback
🔨 Buildmulti-agent + design docs
🏗️ Applyjudgment drill
📋 Productionhow it bites in prod
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🏁 Phase capstone — be hireable

Assemble the finish line: the two domain flagships (security analyst + investing dashboard), a multi-agent system (BYO-13), an ML system-design doc, polished 2-minute narratives for every project, and 2–3 mock interviews done. You're job-ready when you can judge whether ML fits a problem, build it, productionize it, improve it independently, design an agentic system, and narrate your portfolio under pressure — on knowledge that's practical and yours. Then re-take your 50-question exam and reason through every answer out loud.

Full guide: phase-8-agentic-interview.md ↗ · architect track: Phase 9 — AI Solution Architecture.

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