LEARN → BUILD → SHIP → PROVEMISSION 01 · RESEARCH AGENT · OPEN
Build AI. Don't Just Learn It.
Learn AI Engineering by building real AI systems, solving real engineering problems, and proving what you can build.
QUERY
AGENT
SEARCH
RETRIEVE
REPORT
research-agent · run #47DEMO
retrieval.latency312ms
tool_calls.success98.2%
eval.accuracy94.0
cost / 1k runs$4.11
status● building
nextevaluation run
What can you build?
Pick your build →BUILD 01AI AssistantChat, memory, and tools wired into one product-grade assistant.BUILD 02RAG ApplicationGrounded answers over your own documents, with citations.BUILD 03 · MISSION OPENResearch AgentSearches, reads, and writes a cited brief on any question.BUILD 04Customer Support AgentResolves tickets with tools, escalation, and guardrails.BUILD 05Coding AgentReads a repo, writes patches, and runs its own tests.BUILD 06AI AutomationA pipeline that watches, decides, and acts on real events.BUILD 07Multi-Agent SystemPlanner, workers, and a critic cooperating on one goal.
Not sure yet?Answer one question → get a path
How it works
LEARN→
BUILD→
EXPERIMENT→
BREAK→
DEBUG→
EVALUATE→
OPTIMIZE→
DEPLOY→
PROVE
MISSIONS, NOT LESSONSEvery unit ends in something runningShort, visual lessons exist to unblock the next build step — never the other way around.
A MENTOR IN THE LOOPDebug with an AI that asks firstThe mentor explains, hints, reviews code, and analyzes errors — guiding your reasoning instead of pasting answers.
EVALUATIONS ARE PROOFYour scores build your portfolioAccuracy, reliability, cost, security — every mission is scored, and passing runs go straight to your public profile.
Learning paths
Enter the path →FLAGSHIP · 8 GATED STAGES · 4 PROJECTSAI Engineer PathFoundations → LLM Applications → Give AI Knowledge → Give AI Tools → Agents → Make AI Reliable → Production AI → Capstone9 modules · 4 projects · ~105–130h →LIVE · 6 STAGESAI BuilderShip working AI features fast — LLM apps, prompting, and a basic RAG assistant. Speed over depth, honestly labeled.LIVE · 8 STAGESAgentic AI EngineerEvaluation, memory, planning, MCP, multi-agent systems — for graduates of the AI Engineer path.
Featured projects
All projects →AI engineering incidents
All challenges →Real failure modes, staged. Fix them against the clock — your evaluation score is the fix's proof.
Built on BuildAI
illustrative examplesOFFICIAL · VERIFIABLE CERTIFICATES
Certificates you earn, not watch
Every stage you pass earns a certificate named after the capability you demonstrated — not the video you watched. Each one carries a unique ID with a public verify page anyone can open, plus one-click LinkedIn Add-to-Profile. And none of them exist until you pass a real evaluation gate.
/cert/{id} · ✓ VERIFIED · LINKEDIN: ADD TO PROFILE