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Created by Petter Smit
Design and operate the execution layer of agentic systems: robust tool contracts, deterministic executor loops, and safe code execution via sandboxes. You will integrate modern execution infrastructure (E2B) and standardize tool connectivity with MCP, then add resumable HITL gates and deterministic guardrails for high-impact actions.
7 modules • Each builds on the previous one
Define the runtime “contract” between model and executor: tool signatures, typed arguments, tool result envelopes, and how errors/partial results are returned to the model without leaking secrets.
Engineer the executor loop: strict argument validation, deterministic parsing, retry strategy, idempotency keys, timeouts, and safe error feedback to the model for regeneration.
Use a code interpreter as a tool safely: plan→write→run→inspect loops, artifact handling (files/plots), dependency constraints, and translating execution outputs back into model-usable signals.
Understand what sandboxing is actually for in agent execution: isolating untrusted code from host filesystem, network, metadata services, and secrets; define least-privilege policies and deny-by-default networking.
Apply sandboxing via E2B-style environments: ephemeral micro-VM sessions, lifecycle management, filesystem mounts, controlled networking, streaming logs, and returning artifacts safely to the agent/UI (execution-to-browser).
Use MCP to standardize connecting models to tools and data: MCP server design, resource vs tool modeling, authN/Z, capability scoping, and safe context shaping to prevent overexposure.
Combine Human-in-the-loop gates with deterministic controls: policy-as-code checks, schema/regex/rule validation, allowlists, permissioning, audit logs, and resumable approval workflows for high-impact tools.
Begin your learning journey
In-video quizzes and scaffolded content to maximize retention.