1 open · 3 in development

Courses

Engineering courses for people who build systems without writing much code.

Forward Deployedopen

Agent engineering for people who build systems without writing code

You have been using an AI coding agent for a few weeks and hit the point where it stops feeling like magic and starts producing confident garbage. This is the engineering underneath that: what to ask for, what it can see, whether it actually did the thing, and how to prove it.

In development

No dates, deliberately. A roadmap I cannot back is exactly the kind of confident claim these courses spend weeks teaching people to distrust. What gets built next is decided by which of these people actually want.

Prove It Worksin development

Evals for systems that do not give the same answer twice

"How do you know it works?" is the question every AI engineering interview turns on, and most answers are a number with no derivation behind it. Golden sets, rubrics, pass bars, sampling, and judges that can be fooled. Forward Deployed spends one unit here. This is the whole thing.

Build the Toolsin development

MCP servers, and the agents that use them

You take Forward Deployed through an MCP server. This one has you build one: designing tools an agent can actually use, deciding what to expose and what to withhold, auth, and the difference between a tool that answers and a tool that does.

What It Remembersin development

Memory, staleness, and retrieval across agents

Agents forget between runs, and the fixes are where most agent systems quietly go wrong. Schema design for things a model will read, indexes that do not bloat, retrieval that surfaces the current answer rather than a confident stale one, and memory several agents write to at once.

Tell me which to build

One email when the one you picked opens. Nothing else.