AI systemsBuild it yourself
Build an AI assistant on your laptop
One project in five steps: a private assistant over your own docs, built, measured, broken and fixed on your own machine.
5 topics.
- 01FoundationReadStep 1: Run a local modelServe a model behind a streaming API and measure how fast it really is.
- 02Mid-levelReadStep 2: Answer from your own docsAdd retrieval with citations, score it on 20 questions, and break it with a bad chunk size.
- 03Mid-levelReadStep 3: Add tools with MCPWrite an MCP server, let an agent use it, then stop a tool loop and a prompt injection.
- 04SeniorReadStep 4: Orchestrate and resumeSplit the work across agents, kill one mid-run, and resume from a checkpoint.
- 05SeniorReadStep 5: Make it production-shapedCaching, rate limits, tracing and an eval gate that blocks a worse model.
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