Retrieval Systems
Ground your agent in your own knowledge, and prove it.
Included when it ships — no extra charge.One account, every course. Each one is self-paced, ends in something you built, and keeps updating without a second payment.
Open the first lesson and go. No cohort dates, nothing to keep up with.
Make AI coding agents actually reliable.
Start here if you use a coding agent most days and still fix the same failures by hand.
You leave with your own harness: repository conventions the agent can read, rules and commands it obeys, verification gates it cannot talk its way past, and a session lifecycle that survives restarts.
Build an agent that remembers, acts for you, and can be trusted.
Start here if you want one agent that works on your behalf between sessions, not only while you watch it.
You leave with a running personal agent — not a demo. It remembers across sessions, reaches your tools through a wrapper that isolates secrets, runs on a schedule, and is small enough that you can audit every line.
Design, cost, secure and prove AI systems a client can sign off on.
Start here if you design, cost or defend AI systems that a client or sponsor has to sign off on.
You leave holding an Architecture Dossier for a real engagement, built one file per lesson: charter, budgets, decision records, diagrams, eval plan, cost model, threat model, compliance annex, runbook and rollout plan. It is the document a buyer signs and an engineering team builds from.
Run many coding agents without drowning in their output.
Start here if one coding agent already runs reliably for you and you want several at once, on and off your own machine.
You leave with a Fleet Kit you can run tomorrow: a topology decision, an isolation launcher that stops port and database collisions, a permission and credential policy, a venue off your laptop, a supervision protocol that pages you for the blocked agent, a landing pipeline with gates that survive parallel runs, an audit trail, and an on-call runbook.
Four shapes cover almost every agent graph you'll build.
Start here if a single agent loop can no longer hold your task and you need to split the work across agents.
You leave able to look at any multi-step agent task and answer three questions without guessing: which steps genuinely depend on each other, where the graph should fan out instead of chain, and whether the task earns a graph at all instead of staying a single loop.
Keep the loop's own measuring stick honest while it runs unattended.
Start here if a coding-agent loop already runs for you and you need it to run overnight without quietly gaming its own score, burning its budget, or drifting off its real goal.
You leave with every guard rail a self-improving loop needs before you let it run overnight unattended: a locked scorer, a worthiness screen, a ratchet, a spend budget, a goal hierarchy, a triage sheet, and a canary-and-ledger process for scaling it to more than one project.
Already included in your purchase. Listed here with honest status — nothing is sold before it exists.
Ground your agent in your own knowledge, and prove it.
Included when it ships — no extra charge.Know whether a change to your harness made things better.
Included when it ships — no extra charge.Roll one standard across an engineering organisation.
Included when it ships — no extra charge.