/notes

Notes on building with AI.

How we build an AI-native company and AI products: agents, context, evaluation and the decisions behind them.

9 October 2026 · 2 min · agents, research
Running research as parallel agent lanes

How one research question becomes several AI agents working at once, and why giving each of them a narrow lane, a source rule and a fixed answer format is what makes their work usable.

8 October 2026 · 2 min · hiring, agents, responsible AI
Why our hiring agent never rejects anyone

dwij runs the whole hiring process on its own, from the first message to the shortlist. It still never turns anyone down, and a person reviews anything that could count against a candidate. Here is why.

7 October 2026 · 2 min · context, agents, developer tools
Decisions are the context that matters

Why Relay stores the decisions, constraints and rejected approaches from your work with AI, rather than everything you typed, and why every fact keeps its source.

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