Daily Brief: Context Bundles Are Becoming Product Infrastructure
The next leverage point in AI products is not just better prompts. It is better portable context.
Google Cloud introduced the Open Knowledge Format as a vendor-neutral way to package operational knowledge for both people and agents. That matters because teams still keep product truth scattered across docs, dashboards, tickets, wiki pages, and a few reliable humans. Better models do not fix missing or fragmented context.
Product builders should treat context packaging as infrastructure. If an agent cannot find metric definitions, workflow rules, customer constraints, and system conventions in a stable format, every workflow becomes expensive rediscovery. The winning teams will make their context legible, portable, and versioned so humans and agents can work from the same source of truth.
Pick one important workflow such as support triage, onboarding, release planning, or analytics QA. Create a small context bundle with the goal, definitions, edge cases, canonical links, and the artifacts the workflow produces. Keep it in markdown, version it with the work, and make the agent read it before taking action.
Build one context pack this week with six fields: trigger, goal, required context, tools, output artifact, and stop condition. Then run the same task with and without the pack and compare rework, latency, and correctness.
Full context at Google Cloud. Bring back one decision, test, or workflow change.
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