Phase 0: Agents in Production · 40 hours · Python (agent + sandbox) · LaTeX (output)
Introduction
Agent Laboratory ran the experiments. Allen AI shared traces. The 2026 shape is plan-execute-verify tree search over experiments, budgeted cost, sandboxed code execution, a vision-feedback LaTeX writer, and an automated NeurIPS-style reviewer ensemble. The capstone is to build one, run it end to end within $30 per paper, and survive the sandbox-escape red team that Sakana documented.
Phases exercised: P0 · P2 · P3 · P7 · P10 · P14 · P15 · P16 · P18
Type: Capstone Languages: Python (agent + sandbox), LaTeX (output) Prerequisites: Phase 2 (ML), Phase 3 (deep learning), Phase 7 (transformers), Phase 10 (LLMs from scratch), Phase 14 (agents), Phase 15 (autonomous), Phase 16 (multi-agent), Phase 18 (safety) Time: 40 hours
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You've read the first 2 sections. The rest of this lesson covers The Problem, The Concept, Build, Check Yourself, Key Terms & Next — plus a hands-on lab, quiz, and project artifact.
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